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Abstract:
Given the cross-sectional and temporal variation in their liquidity, emerging equity markets provide an ideal setting to examine the impact of liquidity on expected returns. Our main liquidity measure is a transformation of the proportion of zero daily firm returns, averaged over the month. We find that our liquidity measures significantly predict future returns, whereas alternative measures such as turnover do not.
Consistent with liquidity being a priced factor, unexpected liquidity shocks are positively correlated with contemporaneous return shocks and negatively correlated with shocks to the dividend yield. We consider a simple asset pricing model with liquidity and the market portfolio as risk factors and transaction costs that are proportional to liquidity. The model differentiates between integrated and segmented countries and time periods. Our results suggest that local market liquidity is an important driver of expected returns in emerging markets, and that the liberalization process has not fully eliminated its impact.

Liquidity, liquidity risk, asset pricing, emerging markets, market integration, market segmentation, liquidity risk factor, local liquidity, zero returns, bid-ask spread, price impact, liquidity measures

Abstract:
Emerging markets have long posed a challenge for finance. Standard models are often ill suited to deal with the specific circumstances arising in these markets. However, the interest in emerging markets has provided impetus for the adaptation of current models to new circumstances in these markets and the development of new models. The model of market integration and segmentation is our starting point. Next, we emphasize the distinction between market liberalization and integration. We explore the financial effects of market integration as well as the impact on the real economy. We also consider a host of other issues such as contagion, corporate finance, market microstructure and stock selection in emerging markets. Apart from surveying the literature, this article contains new results regarding political risk and liberalization, the volatility of capital flows and the performance of emerging market investments.

Market liberalization, portfolio flows, market reforms, economic growth, risk sharing, contagion, privatization, capital flows, market microstructure, inequality, productivity, volatility of capital flows, performance of emerging market investments

Abstract:
We ask whether stock returns in France, Germany, Japan, the UK and the US are predictable by three instruments: the dividend yield, the earnings yield and the short rate. The predictability regression is suggested by a present value model with earnings growth, payout ratios and the short rate as state variables. We use this model imposing a constant risk premium to examine the finite sample evidence on predictability. Not only do we find the short rate to be a relevant state variable theoretically, it is also the only robust short-run predictor of equity returns. The evidence in Lamont (1998) on earnings and dividend yield predictability is not robust to our increased sample period, does not survive finite sample corrections and does not extend to other countries. We find no evidence of long-horizon predictability once we account for finite sample influence. Finally, cross-country predictability appears stronger than predictability using local instruments.

Abstract:
We ask whether stock returns in France, Germany, the UK and the US are predictable by three instruments: the dividend yield, the earnings yield and the short rate. The predictability regression is suggested by a present value model with earnings growth, payout ratios and the short rate as state variables. We use this model imposing a constant risk premium to examine the finite sample evidence on predictability. Not only do we find the short rate to be a relevant state variable theoretically, it is also the only robust short-run predictor of equity returns. The evidence in Lamont (1998) on earnings and dividend yield predictability is not robust to our increased sample period, does not survive finite sample corrections and does not extend to other countries. We find no evidence of long-horizon predictability once we account for finite sample influence. Finally, cross-country predictability appears stronger than predictability using local instruments.

Present value model, predictability, international predictability, short rates, dividend yield, earnings yield

Abstract:
It is widely believed that correlations between international equity markets tend to increase in highly volatile bear markets. This has led some to doubt the benefits of international diversification. This article solves the dynamic portfolio choice problem of a US investor faced with a time-varying investment opportunity set which may be characterized by correlations and volatilities that increase in bad times. We model the state dependance of US, UK, and German equity returns using a regime-switching model and find evidence for the existence of a high volatility regime, in which returns are more highly correlated and have lower means. Solving the dynamic asset allocation problem for a CCRA investor, we show international diversification is still valuable with regime changes. Currency hedging imparts further benefit. The costs of ignoring the regimes are small for moderate levels of risk aversion, and the intertemporal hedging demands induced by time-varying correlations are negligible.

Abstract:
It is widely believed that correlations between international equity markets tend to increase in highly volatile bear markets. This has led some to doubt the benefits of international diversification. This article solves the dynamic portfolio choice problem of a US investor faced with a time-varying investment opportunity set which may be characterized by correlations and volatilities that increase in bad times. We model the state dependence of US, UK and German equity returns using a regime-switching model and find evidence for the existence of a high volatility regime, in which returns are more highly correlated and have lower means. Solving the dynamic asset allocation problem for a CRRA investor, we show international diversification is still valuable with regime changes. Currency hedging imparts further benefit. The costs of ignoring the regimes are small for moderate levels of risk aversion, and the intertemporal hedging demands induced by time-varying correlations are negligible.

Abstract:
We study the economic sources of stock-bond return comovements and its time variation using a dynamic factor model. We identify the economic factors employing a semi-structural regime-switching model for state variables such as interest rates, inflation, the output gap, and cash flow growth. We also view risk aversion, uncertainty about inflation and output, and liquidity proxies as additional potential factors. We find that macro-economic fundamentals contribute little to explaining stock and bond return correlations, but that other factors, especially liquidity proxies, play a more important role. The macro factors are still important in fitting bond return volatility; whereas the variance premium is critical in explaining stock return volatility. However, the factor model primarily fails in fitting covariances.

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Abstract:
We study the economic sources of stock-bond return comovements and their time variation using a dynamic factor model. We identify the economic factors employing a semi-structural regime-switching model for state variables such as interest rates, inflation, the output gap, and cash flow growth. We also view risk aversion, uncertainty about inflation and output, and liquidity proxies as additional potential factors. We find that macro-economic fundamentals contribute little to explaining stock and bond return correlations, but that other factors, especially liquidity proxies, play a more important role. The macro factors are still important in fitting bond return volatility; whereas the \variance premium" is critical in explaining stock return volatility. However, the factor model primarily fails in fitting covariances.

Factor Models, Stock-Bond Return Correlation, Macroeconomic Factors, New- Keynesian Models, Structural VAR, Liquidity, Variance Premium, Excess Volatility, Flight-to- Safety

Abstract:
Changes in nominal interest rates must be due to either movements in real interest rates, expected inflation, or the inflation risk premium. We develop a term structure model with regime switches, time-varying prices of risk, and inflation to identify these components of the nominal yield curve. We find that the unconditional real rate curve in the U.S. is fairly flat around 1.3%. In one real rate regime, the real term structure is steeply downward sloping. An inflation risk premium that increases with maturity fully accounts for the generally upward sloping nominal term structure.

Abstract:
Changes in nominal interest rates must be due to either movements in real interest rates, expected inflation, or the inflation risk premium. We develop a term structure model with regime switches, time-varying prices of risk and inflation to identify these components of the nominal yield curve. We find that the unconditional real rate curve is fairly flat at 1.44%, but slightly humped. In one regime, the real term structure is steeply downward sloping. Real rates (nominal rates) are pro-cyclical (counter-cyclical) and inflation is negatively correlated with real rates. An inflation risk premium that increases with the horizon fully accounts for the generally upward sloping nominal term structure. We find that expected inflation drives about 80% of the variation of nominal yields at both short and long maturities, but during normal times, all of the variation of nominal term spreads is due to expected inflation and inflation risk.

Abstract:
Changes in nominal interest rates must be due to either movements in real interest rates or expected inflation, or both. We develop a term structure model with regime switches, time-varying prices of risk and inflation to identify these components of the nominal yield curve. We find that the unconditional real rate curve is fairly flat at 1.44%, but slightly humped. In one regime, the real term structure is steeply downward sloping. Real rates (nominal rates) are pro-cyclical (counter-cyclical) and inflation is negatively correlated with real rates. An inflation risk premium that increases with the horizon fully accounts for the generally upward sloping nominal term structure. We find that expected inflation drives about 80% of the variation of nominal yields at both short and long maturities, but during normal times, all of the variation of nominal term spreads is due to expected inflation and inflation risk.

regime-switching term structure model, inflation risk premium, business cycles

Abstract:
We show that equity market liberalizations, on average, lead to a one percent increase in annual real economic growth over a five-year period. The liberalization effect is not spuriously accounted for by macro-economic reforms and does not reflect a business cycle effect. Although financial liberalizations further financial development, measures of financial development fail to fully drive out the liberalization effect. The investment/GDP ratio increases post liberalization, with the investment partially financed by foreign capital inducing worsened trade balances. Differentiating across liberalizing countries, a large secondary school enrollment, a small government sector and an Anglo-Saxon legal system tend to enhance the liberalization effect. Finally, the conditional convergence effect is larger once financial liberalization is accounted for.

Abstract:
We show that equity market liberalizations, on average, lead to a one percent increase in annual real economic growth. The effect is robust to alternative definitions of liberalization and does not reflect variation in the world business cycle. The effect also remains intact when an exogenous measure of growth opportunities is included in the regression. We find that capital account liberalization also plays a role in future economic growth, but, importantly, it does not subsume the contribution of equity market liberalizations. Other simultaneous reforms only partially account for the equity market liberalization effect. Finally, the largest growth response occurs in countries with high quality institutions.

Equity Market Liberalization, Capital Account Openness, Quality of Institutions, GDP Growth, Shareholder Protection, Growth Opportunities, Legal Systems, Political Risk

Abstract:
The so-called Fed model postulates that the dividend or earnings yield on stocks should equal the yield on nominal Treasury bonds, or at least that the two should be highly correlated. In US data there is indeed a strikingly high time series correlation between the yield on nominal bonds and the dividend yield on equities. This positive correlation is often attributed to the fact that both bond and equity yields comove strongly and positively with expected inflation. While inflation comoves with nominal bond yields for well-known reasons, the positive correlation between expected inflation and equity yields has long puzzled economists. We show that the effect is consistent with modern asset pricing theory incorporating uncertainty about real growth prospects and also habit-based risk aversion. In the US, high expected inflation has tended to coincide with periods of heightened uncertainty about real economic growth and unusually high risk aversion, both of which rationally raise equity yields. Our findings suggest that countries with a high incidence of stagflation should have relatively high correlations between bond yields and equity yields and we confirm that this is true in a panel of international data.

Fed Model, Money illusion, Equity premium, Countercyclical risk aversion, Fed model, Inflation, Economic Uncertainty Dividend yield, Stock-Bond Correlation, Bond Yield

Abstract:
Regime-switching models are well suited to capture the non-linearities in interest rates. This paper examines the econometric performance of regime-switching models for interest rate data from the US, Germany and the UK. There is strong evidence supporting the presence of regime switches but univariate models are unlikely to yield consistent estimates of the model parameters. Regime-switching models incorporating international short rate and term spread information forecast better, match sample moments better, and classify regimes better than univariate models. We show that the regimes in interest rates correspond reasonably well with business cycles, at least in the US. This may explain why regime-switching models forecast interest rates better than single regime models. Finally, the non-linear interest rate dynamics implied by regime-switching models have potentially important implications for the macroeconomic literature documenting the effects of monetary policy shocks on economic aggregates. Moreover, the implied volatility and drift functions are rich enough to resemble those recently estimated using non-parametric techniques.

Abstract:
This paper examines the econometric performance of regime switching models for interest rate data from the US, Germany and the UK. There is strong evidence supporting the presence of regime switches but univariate models are unlikely to yield consistent estimates of the model parameters. Regime-switching models incorporating international short rate and term spread information forecast better, match sample moments better, and classify regimes better than univariate models. We show that the regimes in interest rates correspond reasonably well with business cycles, at least in the US. This may explain why regime-switching models forecast interest rates better than single regime models. Finally, the non-linear interest rate dynamics implied by regime switching models have potentially important implications for the macro-economic literature documenting the effects of monetary policy shocks on economic aggregates. Moreover, the implied volatility and drift functions are rich enough to resemble those recently estimated using non-parametric techniques.

Abstract:
Contagion is usually defined as correlation between markets in excess of what would be implied by economic fundamentals; however, there is considerable disagreement regarding the definitions of the fundamentals, how the fundamentals might differ across countries, and the mechanisms that link the fundamentals to asset returns. Our research takes, as a starting point, a two-factor model with time-varying betas that accommodates various degrees of market integration between different markets. We apply this model to stock returns in three different regions: Europe, South-East Asia, and Latin America. In addition to providing new insights on contagion during crisis periods, we document patterns through time in world and regional market integration and measure the proportion of volatility driven by global, regional, and local factors.

Abstract:
Contagion is usually defined as correlation between markets in excess of what would be implied by economic fundamentals. However, there is considerable disagreement regarding the definitions of the fundamentals, how the fundamentals might differ across countries and the mechanisms that link the fundamentals to asset returns. Our research takes as a starting point, a two-factor model with time-varying betas that accommodates various degrees of market integration between the different markets. We apply this model to stock returns in three different regions, Europe, South-East Asia and Latin America. In addition to providing new insights on contagion during crisis periods, we document patterns through time in world and regional market integration and measure the proportion of volatility driven by global, regional, as well as, local factors.

Abstract:
We examine international stock return comovements using country-industry and country-style portfolios as the base portfolios. We first establish that parsimonious risk-based factor models capture the covariance structure of the data better than the popular Heston-Rouwenhorst (1994) model. We then establish the following stylized facts regarding stock return comovements. First, we do not find evidence for an upward trend in return correlations, except for the European stock markets. Second, the increasing importance of industry factors relative to country factors was a short-lived, temporary phenomenon.

Comovements, APT model, international diversification, correlation dynamics, industry-country debate, factor models, global market integration

Abstract:
International equity returns are characterized by episodes of high volatility and unusually high correlations coinciding with bear markets. We develop models of asset returns that match these patterns and use them in asset allocation. First, the presence of regimes with different correlations and expected returns is difficult to exploit within a framework focused on global equities. Nevertheless, for all-equity portfolios, a regime-switching strategy dominates static strategies out-of-sample. Second, substantial value is added when an investor chooses between cash, bonds and equity investments. When a persistent bear market hits, the investor switches primarily to cash. There are large market timing benefits because the bear market regimes tend to coincide with periods of relatively high interest rates.

Abstract:
Everyone who has studied international equity returns has noticed the episodes of high volatility and unusually high correlations coinciding with a bear market. We develop quantitative models of asset returns that match these patterns in the data and use them in two quantitative asset allocation analyses. First, we show that the presence of regimes with different correlations and expected returns is difficult to exploit with within a global asset allocation framework focussed on equities. The benefits of international diversification dominate the costs of ignoring the regimes. Nevertheless, for all-equity portfolios, a regime-switching strategy out-performs static strategies out-of-sample. Second, we show that substantial value can be added when the investor chooses between cash, bonds and equity investments. When a persistent bear market hits, the investor switches primarily to cash. This desire for market timing is enhanced because the bear market regimes tend to coincide with periods of relatively high interest rates.

market timing, tactical asset allocation, regime switching, international diversification

Abstract:
We study the interrelationship between capital flows, returns, dividend yields and world interest rates in 20 emerging markets. We estimate a vector autoregressionn with these variables to measure the degree to which lower interest rates contribute to increased capital flows and shocks in flows affect the cost of capital among other dynamic relations. We precede the VAR analysis by a detailed examination of endogenous break points in capital flows and the other variables. These structural breaks are traced to the liberalization of emerging equity markets. Our evidence of structural breaks call into question past research which estimates VAR models over the full sample. After a liberalization, we find that equity flows increase by 1.4% of market capitalization. We also show that shocks in equity flows initially increase returns which is consistent with a price pressure hypothesis. While the effect is diminished over time, there also appears to be a permenant impact. This is consistent with our finding that our proxy for the cost of capital, dividend yields, decreases. Finally, our analysis of the transitition dynamics from pre-liberalization to post-liberalization suggests that when capital leaves, it leaves faster than it came in. These results may help us understand the dynamics of the recent crises in Latin America and East Asia.

Abstract:
We study the interrelationship between capital flows, returns, dividend yields and world interest rates in 20 emerging markets. We use a structural VAR framework to examine the impact of shocks in interest rates and net capital flows on asset returns and the cost of capital. In contrast to previous research, we explicitly take into account a fundamental nonstationarity in the data - structural breaks induced by liberalizations. We estimate our VARs in both the full sample, pre-break and the post-break sample, with the breaks endogenously determined. We find significant differences, in particular, between the pre-break analysis and the post-break analysis. We revisit a number of important hypotheses within the VAR framework. First, the "push effect" from world interest rates to capital flows appears consistently when we cumulate impulse responses whereas contemporaneously interest rates and capital flows show no consistent correlation pattern. Second, unexpected shocks to equity flows have a strongly positive contemporaneous effect on returns, in line with the findings of Clark and Berko (1997), and Froot et al. (1998). The effect immediately dies out but there is only incomplete reversal suggesting some of the effect is permanent. This is consistent with our finding that positive shocks in net equity capital flows lead to lower dividend yields -- our proxy for expected returns. Following Bekaert and Harvey's (1999) argument that dividend yield changes reveal information about the cost of equity capital, the equity capital flow shocks lead to lower cost of capital in many countries. We find that this relation is dramatically strengthened if we estimate our VARs on the post break sample. Although part of the initial effect may be due to "price pressure", our results suggest part of the response is near permanent and beneficial. Third, we revisit the Bohn and Tesar (1996) argument that capital flows are more likely driven by "return chasing" than portfolio rebalancing. We find evidence that positive returns shocks are followed by increased short-term equity capital flows. Finally, we provide interesting new results on the transition from pre-break to post-break systems. In almost all the countries we examine, our transition analysis of equity flows suggests that when capital leaves it leaves faster than it came. These intriguing results may shed light on the recent crises in Latin America and Asia and the role of capital flight.

Abstract:
We measure a country's growth opportunities by investigating how its industry mix is priced in global capital markets, using price earnings ratios of global industry portfolios. We derive three sets of empirical results. First, these exogenous growth opportunities strongly predict future changes in real GDP and investment in a large panel of countries. This relation is strongest in countries that have liberalized their capital accounts, equity markets, and banking systems. Second, we re-examine the link between financial development, investor protection, capital allocation, and growth. We find that financial development and investor protection measures are much less important in aligning growth opportunities with growth than is capital market openness. Third, we formulate new tests of market integration and segmentation. Under integration, the difference between a country's local PE ratio and its global counterpart should not predict relative growth, but the difference between its "exogenous" global PE ratio and the world market PE ratio should predict relative growth.

Abstract:
We propose an exogenous measure of a country's growth opportunities by interacting the country's local industry mix with global price to earnings (PE) ratios. We find that these exogenous growth opportunities predict future changes in real GDP and investment in a large panel of countries. This relation is strongest in countries that have liberalized their capital accounts, equity markets, and banking systems. We also find that financial development, external finance dependence, and investor protection measures are much less important in aligning growth opportunities with growth than is capital market openness. Finally, we formulate new tests of market integration and segmentation by linking local and global PE ratios to relative economic growth.

Growth Opportunities, Market Integration, Finance and Growth, Capital Allocation, Capital Account Openness, Financial Liberalization

Abstract:
Recently much progress has been made in developing optimal portfolio choice models accomodating time-varying opportunity sets, but unless investors are unreasonably risk averse, optimal holdings include unreasonably large equity positions. One reason is that most studies assume investors behave as expected utility maximizers with power utility. In this article, we provide a formal treatment of both static and dynamic portfolio choice using the Disappointment Aversion preferences of Gul (1991). While different from the Kahneman-Tversky (1979) loss aversion utility, these preferences imply asymmetric aversion to gains versus losses and are consistent with the tendency of some people to like lottery-type gambles but dislike stock in-vestments. By calibrating a number of data generating processes to actual US data on stock and bond returns, we find very reasonable portfolios for moderately disappointment averse investors with utility functions exhibiting low curvature. Disappointment aversion preferences affect intertemporal hedging demands and the state dependence of asset allocation in such a way as to not be replicable by standard expected utility functions with higher curvature. Furthermore, it is easy to reconcile the large equity premium observed in the data with disappointment aversion utility of low curvature and reasonable disappointment aversion.

Abstract:
Recently much progress has been made in developing optimal portfolio choice models accomodating time-varying opportunity sets, but unless investors are unreasonably risk averse, optimal holdings include unreasonably large equity positions. One reason is that most studies assume investors behave as expected utility maximizers with power utility. In this article, we provide a formal treatment of both static and dynamic portfolio choice using the Disappointment Aversion preferences of Gul (1991). While different from the Kahneman-Tversky (1979) loss aversion utility, these preferences imply asymmetric aversion to gains versus losses and are consistent with the tendency of some people to like lottery-type gambles but dislike stock investments. By calibrating a number of data generating processes to actual US data on stock and bond returns, we find very reasonable portfolios for moderately disappointment averse investors with utility functions exhibiting low curvature. Disappointment aversion preferences affect intertemporal hedging demands and the state dependence of asset allocation in such a way as to not be replicable by standard expected utility functions with higher curvature. Furthermore, it is easy to reconcile the large equity premium observed in the data with disappointment aversion utility of low curvature and reasonable disappointment.

Abstract:
We propose a new, valuation-based measure of world equity market segmentation. While we observe decreased levels of segmentation in many developing countries, the level of segmentation is still significant. In contrast to previous research, we characterize the factors that account for variation in market segmentation both through time as well as across countries. While a country's regulation with respect to foreign capital flows is important in determining its level of segmentation, we find that non-regulatory factors are also related to the cross-sectional and time-series variation in the level of segmentation. We identify a country's political risk profile and its stock market development as two additional local segmentation factors as well as the U.S. corporate credit spread as a global segmentation factor.

Abstract:
This article provides a stochastic valuation framework for bond and stock returns that builds on three different pricing traditions: affine models of the term structure, present-value pricing of equities, and consumption based asset pricing. Our model provides a more general application of the affine framework in that both bonds and equities are priced in a consistent fashion. This pricing consistency implies that term structure vairables help price stocks while stock price fundamentals help price the term structure. We illustrate our model by considering three examples that are similar in spirit to well-known pricing models that fall within our general framework: a Mehra and Prescott (1985) economy, a present value model similar to Campbell and Shiller (1988), and a model with stochastic risk aversion similar to Campbell and Cochrane (1999). The empirical performance of our models is explored, with a particular emphasis on return predictability.

Abstract:
This article provides a stochastic valuation framework for bond and stock returns that builds on three different pricing traditions: affine models of the term structure, present-value pricing of equities, and consumption-based asset pricing. Our model provides a more general application of the affine framework in that both bonds and equities are priced in a consistent fashion. This pricing consistency implies that term structure variables help price stocks while stock price fundamentals help price the term structure. We illustrate our model by considering three examples that are similar in spirit to well-known pricing models that fall within our general framework: a Mehra and Prescott (1985) economy, a present value model similar to Campbell and Shiller (1988b), and a model with stochastic risk aversion similar to Campbell and Cochrane (1998). The empirical performance of our models is explored, with a particular emphasis on return predictability.

Abstract:
We examine aggregate idiosyncratic volatility in 23 developed equity markets, measured using various alternative methodologies, and we find no evidence that the idiosyncratic volatility is trending upward. Instead, idiosyncratic volatility appears to be well described by a stationary autoregressive process that occasionally switches into a higher-variance regime that has relatively short duration. We also document that idiosyncratic volatility is highly correlated across countries. Finally, we examine the debate about the determinants of the time-variation in idiosyncratic volatility. We find that three factors, growth opportunities, total market volatility and the variance premium, account for the bulk of the variation. Our results have important implications for studies of portfolio diversification, return volatility and contagion.

idiosyncratic volatility, trend test, regime switching model, diversification, return correlation, volatility dynamics, growth opportunities, variance premium, contagion

Abstract:
Much has been learned about emerging markets finance over the past 20 years. These markets have attracted a unique interdisciplinary interest that bridges both investment and corporate finance with international economics, development economics, law, demographics and political science. Our paper focuses on the research areas that are ripe for exploration. We provide new evidence on how emerging market returns, volatility, betas, correlations, skewness and kurtosis have changed as these markets become more financially open.

Emerging markets, International Cost of Capital, Financial openness, dating integration, market segmentation, market integration, capital flows, contagion, market correlations, emerging market volatility, emerging return skewness, emerging return kurtosis

Abstract:
Understanding volatility in emerging capital markets is important for determining the cost of capital and for evaluating direct investment and asset allocation decisions. We provide an approach that allows the relative importance of world and local information to change through time in both the expected returns and conditional variance processes. Our time-series and cross-sectional models analyze the reasons that volatility is different across emerging markets, particularly with respect to the timing of capital market reforms. We find that capital market liberalizations often increase the correlation between local market returns and the world market but do not drive up local market volatility.

Emerging markets, volatility, capital market reforms, asymmetric volatility, country risk, market liberalization, financial openness, market integration, market segmentation

Abstract:
Returns in emerging capital markets are very different from returns in developed markets. While most previous research has focused on average returns, we analyze the volatility of the returns in emerging equity markets. We characterize the time-series of volatility in emerging markets and explore the distributional foundations of the variance process. Of particular interest is evidence of asymmetries in volatility and the evolution of the variance process after periods of capital market reform. We shed indirect light on the question of capital market integration by exploring the changing influence of world factors on the volatility in emerging markets. Finally, we investigate the cross-section of volatility. We use measures such as asset concentration, market capitalization to GDP, size of the trade sector, cross-sectional volatility of individual securities within each country, turnover, foreign exchange variability and national credit ratings to characterize why volatility is different across emerging markets.

Abstract:
We provide an analysis of real economic growth prospects in emerging markets after financial liberalizations. In contrast with previous research, we identify the financial liberalization dates and examine the influence of liberalizations while controlling for a number of other macroeconomic and financial variables. Our work also introduces an econometric methodology that allows us to use extensive time-series as well as cross-sectional information for our tests. We find across a number of different specifications that financial liberalizations are associated with significant increases in real economic growth. The effect is larger for countries with high education levels.

Abstract:
We examine the effects of both equity market liberalization and capital account openness on real consumption growth variability. We show that financial liberalization is mostly associated with lower consumption growth volatility. Our results are robust, surviving controls for business-cycle effects, economic and financial development, the quality of institutions, and other variables. Countries that have more open capital accounts experience a greater reduction in consumption growth volatility after equity market openings. The results hold for both total and idiosyncratic consumption growth volatility. We also find that financial liberalizations are associated with declines in the ratio of consumption growth volatility to GDP growth volatility, suggesting improved risk sharing. Our results are weaker for liberalizing emerging markets but we never observe an increase in real volatility. Moreover, we demonstrate significant differences in the volatility response depending on the size of the banking and government sectors and certain institutional factors.

Abstract:
We examine the effects of both equity market liberalization and capital account openness on real consumption growth variability. We show that financial liberalization is mostly associated with lower consumption growth volatility. Our results are robust, surviving controls for business-cycle effects, economic and financial development, the quality of institutions, and other variables. Countries that have more open capital accounts experience a greater reduction in consumption growth volatility after equity market openings. The results hold for both total and idiosyncratic consumption growth volatility. We also find that financial liberalizations are associated with declines in the ratio of consumption growth volatility to GDP growth volatility, suggesting improved risk sharing. Our results are weaker for liberalizing emerging markets but we never observe a significant increase in real volatility. Moreover, we demonstrate significant differences in the volatility response depending on the size of the banking and government sectors and certain institutional factors.

Consumption growth, equity market liberalization, capital account liberalization, consumption growth volatility, economic volatility, capital account openness, risk sharing, emerging markets

Abstract:
This paper examines uncovered interest rate parity (UIRP) and the expectations hypotheses of the term structure (EHTS) at both short and long horizons. The statistical evidence against UIRP is mixed and is currency- not horizon-dependent. Economically, the deviations from UIRP are less pronounced than previously documented. The evidence against the EHTS is statistically more uniform, but, economically, actual spreads and theoretical spreads (spreads constructed under the null of the EHTS) do not behave very differently, especially at long horizons. Partly because of this, the deviations from the EHTS only play a minor role in explaining deviations from UIRP at long horizons. A random walk model for both exchange rates and interest rates fits the data marginally better than the UIRP-EHTS model.

Abstract:
This paper examines uncovered interest rate parity (UIRP) and the expectations hypotheses of the term structure (EHTS) at both short and long horizons. The statistical evidence against UIRP is mixed and is currency - not horizon - dependent. Economically, the deviations from UIRP are less pronounced than previously documented. The evidence against the EHTS is statistically more uniform, but, economically, actual spreads and theoretical spreads (spreads constructed under the null of the EHTS) do not behave very differently, especially at long horizons. Partly because of this, the deviations from the EHTS only play a minor role in explaining deviations from UIRP at long horizons. A random walk model for both exchange rates and interest rates fits the data marginally better than the UIRP-EHTS model.

Expectations Hypotheses, Uncovered Interest Rate Parity, Term Structure, Long Horizon Test

Abstract:
A number of countries have delayed the opening of their capital markets to international investment because of reservations about the impact of foreign speculators on both expected returns and market volatility. We propose a cross-sectional time-series model that attempts to assess the impact of market liberalizations, in the form of the offering of depositary receipts country funds and other financial instruments, in an extranational market and market volatility in emerging equity markets. We also examine the impact of capital market liberalizations on the correlation of emerging equity market returns and the world market return. Our empirical approach is designed to control for other economic events which might confound the impact of foreign speculators on local equity markets. Whatever the empirical specification the cost of capital always decreases after a capital market liberalization but the effect is economically and statistically weak. The effects on volatility and correlation are less robust.

Abstract:
A number of countries have delayed the opening of their capital markets to international investment because of reservations about the impact of foreign speculators on both expected returns and market volatility. We propose a cross-sectional time-series model that attempts to assess the impact of market liberalizations, in the form of the offering of depositary receipts, country funds and other financial instruments, in an extranational market, on the cost of capital and market volatility in emerging equity markets. We also examine the impact of capital market liberalizations on the correlation of emerging equity market returns and the world market return. Our empirical approach is designed to control for other economic events which might confound the impact of foreign speculators on local equity markets. Whatever the empirical specification, the cost of capital always decreases after a capital market liberalization with the effect varying between 5 and 90 basis points depending on the specification. There is little impact on volatility. While correlation with world markets increases after liberalizations, it is unlikely that this higher correlation will impact global investors looking to diversify their international portfolios.

Equity Market Liberalization, Cost of Capital, Investment Growth, Economic Growth, Liberalization and Risk, Country Correlations, Country Betas, Country Volatility

Abstract:
We identify the relative importance of changes in the conditional variance of fundamentals (which we call "uncertainty") and changes in risk aversion ("risk" for short) in the determination of the term structure, equity prices and risk premiums. Theoretically, we introduce persistent time-varying uncertainty about the fundamentals in an external habit model. The model matches the dynamics of dividend and consumption growth, including their volatility dynamics and many salient asset market phenomena. While the variation in dividend yields and the equity risk premium is primarily driven by risk, uncertainty plays a large role in the term structure and is the driver of counter-cyclical volatility of asset returns.

Equity premium, uncertainty, stochastic risk aversion, time variation in risk and return, excess volatility, external habit, term structure

Abstract:
We identify the relative importance of changes in the conditional variance of fundamentals (which we call "uncertainty") and changes in risk aversion ("risk" for short) in the determination of the term structure, equity prices and risk premiums. Theoretically, we introduce persistent time-varying uncertainty about the fundamentals in an external habit model. The model matches the dynamics of dividend and consumption growth, including their volatility dynamics and many salient asset market phenomena. While the variation in dividend yields and the equity risk premium is primarily driven by risk, uncertainty plays a large role in the term structure and is the driver of counter-cyclical volatility of asset returns.

Abstract:
We identify the relative importance of changes in the conditional variance of fundamentals (which we call uncertainty) and changes in risk aversion in the determination of the term structure, equity prices and risk premiums. Theoretically, we introduce persistent time-varying uncertainty about the fundamentals in an external habit model. The model matches the dynamics of dividend and consumption growth, including their volatility dynamics and many salient asset market phenomena. While the variation in price-dividend ratios and the equity risk premium is primarily driven by risk aversion, uncertainty plays a large role in the term structure and is the driver of counter-cyclical volatility of asset returns.

Equity Premium, Economic Uncertainty, Stochastic Risk Aversion, Time Variation in Risk and Return, Excess Volatility, External Habit, Term Structure, Heteroskedasticity

Abstract:
Measuring the integration of world capital markets is notoriously difficult. For example, regulatory changes which appear comprehensive may have little impact on the functioning of the capital market if they fail to lead to foreign portfolio inflows. In contrast to the usual practice of documenting the timing of regulatory changes, we specify a reduced-form model for a number of financial time-series (for example, equity returns and dividend yields) and search for a common break in the process generating the data. In addition, we estimate a confidence interval for the break. Information on a variety of financial and macroeconomic indicators is employed to interpret the results and to identify the likely date the equity market becomes financially integrated with world capital markets. We find endogenous break dates that are very accurately estimated but do not always correspond closely to dates of official capital market reforms. After the break, stock markets are on average larger and more liquid than before; returns are more volatile and more highly correlated with the world market return, dividend yields are lower and credit ratings improve.

Abstract:
Measuring the integration of world capital markets is notoriously difficult. For example, regulatory changes which appear comprehensive may have little impact on the functioning of the capital market if they fail to lead to foreign portfolio inflows. In contrast to the usual practice of documenting the timing of regulatory changes, we specify a reduced-form model for a number of financial time-series (for example, equity returns and dividend yields) and search for a common break in the process generating the data. In addition, we estimate a confidence interval for the break. Information on a variety of financial and macroeconomic indicators is employed to interpret the results and to identify the likely date the equity market becomes financially integrated with world capital markets. We find endogenous break dates that are very accurately estimated but do not always correspond closely to dates of official capital market reforms. After the break, stock markets are on average larger and more liquid than before; returns are more volatile and more highly correlated with the world market return, dividend yields are lower and credit ratings improve.

Abstract:
Using non-parametric estimation methods, various authors have shown distinct non-linearities in the drift and volatility function of the US short rate, which are inconsistent with standard affine term structure models. We document how a regime-switching model with state dependent transition probabilities between regimes can replicate the patterns found by the non-parametric studies. To do so, we use data from the UK and Germany in addition to US data and include term spreads in some of our models. We also examine the drift and volatility function of the term spread.

Short rate, term spread, drift, volatility, regime-switching

Abstract:
We propose a measure of capital market integration arising from a conditional regime-switching model. Our measure allows us to describe expected returns in countries that are segmented from world capital markets in one part of the sample and become integrated later in the sample. We find that a number of emerging markets exhibit time-varying integration. Some markets appear more integrated than one might expect based on prior knowledge of investment restrictions. Other markets appear segmented even though foreigners have relatively free access to their capital markets. While there is a perception that world capital markets have become more integrated, our country-specific investigation suggests that this is not always the case.

Emerging markets, cost of capital, market integration, market segmentation, capital market reforms, market liberalization, financial openness, regime switching

Abstract:
We propose a conditional measure of capital market integration that allows us to characterize both the cross-section and time-series of expected returns in developed and emerging markets. Our measure, which arises from a conditional regime-switching model, allows us to describe expected returns in countries that are segmented from world capital markets in one part of the sample and become integrated later in the sample. Our results suggest that a number of emerging markets exhibit time-varying integration. Interestingly, some markets appear to be more integrated than one might expect based on prior knowledge of investment restrictions. Other markets appear segmented even though foreigners have relatively free access to their capital markets.

Abstract:
We propose a measure of capital market integration arising from a conditional regime-switching model. Our measure allows us to describe expected returns in countries that are segmented from world capital markets in one part of the sample and become integrated later in the sample. We find that a number of emerging markets exhibit time-varying integration. Some markets appear more integrated than one might expect based on prior knowledge of investment restrictions. Other markets appear segmented even though foreigners have relatively free access to their capital markets. While there is a perception that world capital markets have become more integrated, our country-specific investigation suggests that this is not always the case.

Abstract:
We examine the effects of both equity market liberalization and capital account openness on real consumption growth variability. We show that financial liberalization is mostly associated with lower consumption growth volatility. Our results are robust, surviving controls for business-cycle effects, economic and financial development, the quality of institutions, and other variables. Countries that have more open capital accounts experience a greater reduction in consumption growth volatility after equity market openings. The results hold for both total and idiosyncratic consumption growth volatility. We also find that financial liberalizations are associated with declines in the ratio of consumption growth volatility to GDP growth volatility, suggesting improved risk sharing. Our results are weaker for liberalizing emerging markets but we never observe a significant increase in real volatility. Moreover, we demonstrate significant differences in the volatility response depending on the size of the banking and government sectors and certain institutional factors.

Economic volatility, risk sharing, financial openness, equity market liberalization, capital account openness, GDP volatility, consumption volatility

Abstract:
This article complements the structural New-Keynesian macro framework with a no-arbitrage affine term structure model. Whereas our methodology is general, we focus on an extended macro-model with unobservable processes for the inflation target and the natural rate of output which are filtered from macro and term structure data. We find that term structure information helps generate large and significant estimates of the Phillips curve and real interest rate response parameters. Our model also delivers strong contemporaneous responses of the entire term structure to various macroeconomic shocks. The inflation target dominates the variation in the "level factor" whereas monetary policy shocks dominate the variation in the "slope and curvature factors."

Monetary policy, inflation target, term structure of interest rates, Phillips curve

Abstract:
This article complements the structural New-Keynesian macro framework with a no-arbitrage affine term structure model. Whereas our methodology is general, we focus on an extended macro-model with an unobservable time-varying inflation target and the natural rate of output which are filtered from macro and term structure data. We obtain large and significant estimates of the Phillips curve and real interest rate response parameters. Our model also delivers strong contemporaneous responses of the entire term structure to various macroeconomic shocks. The inflation target dominates the variation in the "level factor" whereas the monetary policy shocks dominate the variation in the "slope and curvature factors".

Abstract:
This article complements the structural New-Keynesian macro framework with a no-arbitrage affine term structure model. Whereas our methodology is general, we focus on an extended macro-model with an unobservable time-varying inflation target and the natural rate of output which are filtered from macro and term structure data. We obtain large and significant estimates of the Phillips curve and real interest rate response parameters. Our model also delivers strong contemporaneous responses of the entire term structure to various macroeconomic shocks. The inflation target dominates the variation in the level factor whereas the monetary policy shocks dominate the variation in the slope and curvature factors.

Phillips curve, term structure, New-Keynesian model

Abstract:
We present a tractable, linear model for the simultaneous pricing of stock and bond returns that incorporates stochastic risk aversion. In this model, analytic solutions for endogenous stock and bond prices and returns are readily calculated. After estimating the parameters of the model by GMM, we investigate a series of classic puzzles of the empirical asset pricing literature. In particular, our model is shown to jointly accommodate the mean and volatility of equity and long term bond risk premia as well as salient features of the nominal short rate, the dividend yield, and the term spread. Also, the model matches the evidence for predictability of excess stock and bond returns. However, the stock-bond return correlation implied by the model is somewhat higher than in the data.

Empirical asset pricing, equity risk premium, habit persistence, stock-bond correlation, macroeconomic factors

Abstract:
We investigate the Expectations Hypotheses of the term structure of interest rates and of the foreign exchange market using vector autoregressive methods for the U.S. dollar, Deutsche mark, and British pound interest rates and exchange rates. In addition to standard Wald tests, we formulate Lagrange Multiplier and Distance Metric tests which require estimation under the non-linear constraints of the null hypotheses. Estimation under the null is achieved by iterating on approximate solutions that require only matrix inversions. We use a bias-corrected, constrained vector autoregression as a data generating process and construct extensive Monte Carlo simulations of the various test statistics under the null hypotheses. Wald tests suffer from severe size distortions and use of the asymptotic critical values results in gross over-rejection of the null. The Lagrange Multiplier tests slightly under-reject the null, and the Distance Metric tests over-reject. Use of the small sample distributions of the different tests leads to a common interpretation of the validity of the Expectations Hypotheses. The evidence against the Expectations Hypotheses for these interest rates and exchange rates is much less strong than under asymptotic inference.

Abstract:
We investigate the Expectations Hypotheses of the term structure of interest rates and of the foreign exchange market using vector autoregressive methods for the U.S. dollar, Deutsche mark, and British pound interest rates and exchange rates. In addition to standard Wald tests, we formulate Lagrange Multiplier and Distance Metric tests which require estimation under the non-linear constraints of the null hypotheses. Estimation under the null is achieved by iterating on approximate solutions that require only matrix inversions. We use a bias-corrected, constrained vector autoregression as a data generating process and construct extensive Monte Carlo simulations of the various test statistics under the null hypotheses. Wald tests suffer from severe size distortions and use of the asymptotic critical values results in gross over-rejection of the null. The Lagrange Multiplier tests slightly under-reject the null, and the Distance Metric tests over-reject. Use of the small sample distributions of the different tests leads to a common interpretation of the validity of the Expectations Hypotheses. The evidence against the Expectations Hypotheses for these interest rates and exchange rates is much less strong than under asymptotic inference.

Abstract:
We present a tractable, linear model for the simultaneous pricing of stock and bond returns that incorporates stochastic risk aversion. In this model, analytic solutions for endogenous stock and bond prices and returns are readily calculated. After estimating the parameters of the model by the general method of moments, we investigate a series of classic puzzles of the empirical asset pricing literature. In particular, our model is shown to jointly accommodate the mean and volatility of equity and long term bond risk premia as well as salient features of the nominal short rate, the dividend yield, and the term spread. Also, the model matches the evidence for predictability of excess stock and bond returns. However, the stock-bond return correlation implied by the model is somewhat higher than in the data.

Abstract:
We present a tractable, linear model for the simultaneous pricing of stock and bond returns that incorporates stochastic risk aversion. In this model, analytic solutions for endogenous stock and bond prices and returns are readily calculated. After estimating the parameters of the model by the general method of moments, we investigate a series of classic puzzles of the empirical asset pricing literature. In particular, our model is shown to jointly accommodate the mean and volatility of equity and long term bond risk premia as well as salient features of the nominal short rate, the dividend yield, and the term spread. Also, the model matches the evidence for predictability of excess stock and bond returns. However, the stock-bond return correlation implied by the model is somewhat higher than in the data.

Equity premium, excess volatility, stock-bond return correlation, return predictability, countercyclical risk aversion, habit persistence

Abstract:
We present a tractable, linear model for the simultaneous pricing of stock and bond returns that incorporates stochastic risk aversion. In this model, analytic solutions for endogenous stock and bond prices and returns are readily calculated. After estimating the parameters of the model by GMM, we investigate a series of classic puzzles of the empirical asset pricing literature. In particular, our model is shown to jointly accommodate the mean and volatility of equity and long term bond risk premia as well as salient features of the nominal short rate, the dividend yield, and the term spread. Also, the model matches the evidence for predictability of excess stock and bond returns. However, the stock-bond return correlation implied by the model is somewhat higher than in the data.

Empirical asset pricing, stock-bond correlation, macroeconomic factors

Abstract:
Foreign portfolio flows may reflect deep changes in the functioning of an emerging market economy and its capital markets. Using a database of monthly net U.S. equity flows, we investigate the relation of these flows to the behavior of equity returns, the structural characteristics of the capital markets, exchange rates, and the strength of the economy. We find that increases in equity flows are associated with a lower cost of capital, higher correlation with world market returns, lower asset concentration, lower inflation, larger market size relative to GDP, more trade, and slightly higher per capita economic growth.

Abstract:
Foreign portfolio flows may reflect deep changes in the functioning of an emerging market economy and its capital markets. Using a database of monthly net U.S. equity flows, we investigate the relation of these flows to the behavior of equity returns, the structural characteristics of the capital markets, exchange rates, and the strength of the economy. We find that increases in equity flows are associated with a lower cost of capital, higher correlation with world market returns, lower asset concentration, lower inflation, larger market size relative to GDP, more trade and slightly higher per capita economic growth.

Capital Markets, U.S. Equity Flows, Distribution of Equity Returns, Economic Growth

Abstract:
We investigate the Expectations Hypotheses of the term structure of interest rates and of the foreign exchange market using vector autoregressive methods for the U.S. dollar, Deutsche mark, and British pound interest rates and exchange rates. In addition to standard Wald tests, we formulate Lagrange Multiplier and Distance Metric tests which require estimation under the non-linear constraints of the null hypotheses. Estimation under the null is achieved by iterating on approximate solutions that require only matrix inversions. We use a bias-corrected, constrained vector autoregression as a data generating process and construct extensive Monte Carlo simulations of the various test statistics under the null hypotheses. Wald tests suffer from severe size distortions and use of the asymptotic critical values results in gross over-rejection of the null. The Lagrange Multiplier tests slightly under-reject the null, and the Distance Metric tests over-reject. Use of the small sample distributions of the different tests leads to a common interpretation of the validity of the Expectations Hypotheses. The evidence against the Expectations Hypotheses for these interest rates and exchange rates is much less strong than under asymptotic inference.

Abstract:
Equity market liberalizations, if effective, lead to important changes in both the financial and real sectors as the economy becomes integrated into world capital markets. The study of market integration is complicated because there are many ways one can liberalize and many countries have taken different routes. To study the effectiveness of particular liberalization policies, the sequencing of liberalizations, and the impact on the real economy, systematic methods must be developed to 'date' the liberalization of emerging equity markets. We provide a synthesis of the current methods, and also show the impact of liberalization on the real sector.

Financial openness, economic growth, equity liberalization, economic volatility, dating integration, market segmentation, market integration, GDP growth, GDP volatility

Abstract:
We explore the cross-sectional determinants of emerging equity market returns. We find that the behavior of emerging market returns differs substantially from the behavior of developed equity market returns and that these differences have persisted in the period ending June 1996. While there are some similarities between the cross-sectional determinants of emerging and developed market equity returns, emerging market strategies must take into account the special characteristics of these markets. In particular, the degree of integration of these markets with world equity markets has changed through time. This time-varying integration must be taken into account in asset allocation strategies.

This is the final working paper version of a chapter we wrote for a book published in 1997.

emerging market returns, predicting equity returns, factors, active management, market integration, asset allocation, emerging markets, time-varying integration

Abstract:
We reflect on China's economic performance from the perspective of the experiences of a broad panel of countries. We formulate an econometric framework building on standard growth regressions that allows us to measure the impact of various factors on economic growth and growth variability. As China has become more and more integrated into the world's economic and financial landscape, we devote special attention to measures of (de jure) financial openness. We also document how the real effects of openness are impacted by financial development, political risk, and the quality of institutions. Standard growth regressions cannot explain China's extraordinary growth experience and we fail to find an important role for foreign trade and foreign direct investment. In contrast, the sheer volume of investment has played a significant role in China's growth. As China's per capita GDP continues to grow, it must find sustainable sources of growth. We identify a more efficient financial sector, less state ownership higher quality of government institutions and full financial openness as important factors. Interaction analysis suggests that the beneficial effects of financial openness first require further financial and institutional development. China is less of an outlier in its growth variability experience but achieved high growth with surprisingly low growth volatility.

Abstract:
Financial openness is often associated with higher rates of economic growth. We show that the impact of openness on factor productivity growth is more important than the effect on capital growth. This explains why the growth effects of liberalization appear to be largely permanent, not temporary. We attribute these permanent liberalization effects to the role financial openness plays in stock market and banking sector development, and to changes in the quality of institutions. We find some indirect evidence of higher investment efficiency post-liberalization. We also document threshold effects: countries that are more financially developed or have higher quality of institutions experience larger productivity growth responses. Finally, we show that the growth boost from openness outweighs the detrimental loss in growth from global or regional banking crises.

financial openness, growth, liberalization, productivity

Abstract:
We examine a large number of potential home bias determinants, including some novel ones, using extensive panel data. We distinguish between the actual home bias (over investment in domestic securities) and foreign investment bias, for which we propose a new measure. For foreign investment bias, we also demonstrate how "size biases" significantly affect the results. We find that the old empirical results based on the U.S. data alone do not generalize to the panel data set; information and familiarity variables and proxies for the degree of capital market openness play an important role in explaining both home and foreign investment biases.

Home bias, international asset allocation, portfolio choice, international diversification

Abstract:
Surveys do! We examine the forecasting power of four alternative methods of forecasting U.S. inflation out-of-sample: time series ARIMA models; regressions using real activity measures motivated from the Phillips curve; term structure models that include linear, non-linear, and arbitrage-free specifications; and survey-based measures. We also investigate several optimal methods of combining forecasts. Our results show that surveys outperform the other forecasting methods and that the term structure specifications perform relatively poorly. We find little evidence that combining forecasts using means or medians, or using optimal weights with prior information produces superior forecasts to survey information alone. When combining forecasts, the data consistently places the highest weights on survey information.

Abstract:
Surveys do! We examine the forecasting power of four alternative methods of forecasting U.S. inflation out-of-sample: time series ARIMA models; regressions using real activity measures motivated from the Phillips curve; term structure models that include linear, non-linear, and arbitrage-free specifications; and survey-based measures. We also investigate several optimal methods of combining forecasts. Our results show that surveys outperform the other forecasting methods and that the term structure specifications perform relatively poorly. We find little evidence that combining forecasts using means or medians, or using optimal weights with prior information produces superior forecasts to survey information alone. When combining forecasts, the data consistently places the highest weights on survey information.

ARIMA, Phillips curve, forecasting, term structure models

Abstract:
We show how to use conditioning information optimally to construct a sharper unconditional Hansen-Jagannathan (1991) bound. The approach in this paper is different from that of Gallant, Hansen and Tauchen (1990), but both approaches yield the same bound when the conditional moments are known. Unlike Gallant, Hansen and Tauchen, our approach is robust to misspecification of the first and second conditional moments. Potential applications include testing dynamic asset pricing models, studying the predictability of asset returns, diagnosing the accuracy of competing models for the first and second conditional moments of asset returns, dynamic asset allocation and mutual fund performance measurement. The illustration in this article starts with the familiar Hansen-Singleton (1983) setup of an autoregressive model for consumption growth and bond and stock returns. Our innovation is to add time-varying volatility to the model. Both an unconstrained version and a version with the restrictions of the standard consumption-based asset pricing model imposed serve as the data-generating processes to illustrate the behavior of the bounds. In the process, we discover and explore an interesting empirical phenomenon: asymmetric volatility in consumption growth.

Abstract:
We show how to use conditioning information optimally to construct a sharper unconditional Hansen-Jagannathan (1991) bound. The approach in this paper is different from that of Gallant, Hansen and Tauchen (1990), but both approaches yield the same bound when the conditional moments are known. Unlike Gallant, Hansen and Tauchen, our approach is robust to misspecification of the first and second conditional moments. Potential applications include testing dynamic asset pricing models, studying the predictability of asset returns, diagnosing the accuracy of competing models for the first and second conditional moments of asset returns, dynamic asset allocation and mutual fund performance measurement. The illustration in this article starts with the familiar Hansen-Singleton (1983) setup of an autoregressive model for consumption growth and bond and stock returns. Our innovation is to add time-varying volatility to the model. Both an unconstrained version and a version with the restrictions of the standard consumption-based asset pricing model imposed serve as the data-generating processes to illustrate the behavior of the bounds. In the process, we discover and explore an interesting empirical phenomenon: asymmetric volatility in consumption growth.

Abstract:
We introduce a “bad environment-good environment” technology for consumption growth in a consumption-based asset pricing model. Using the preference structure from Campbell and Cochrane (1999), the model generates realistic time-varying volatility, skewness and kurtosis in fundamentals while still permitting closed-form solutions for asset prices. The model not only fits standard salient asset prices features including means and volatilities for equity returns and risk free rates, but also generates a realistic variance premium and option prices.

Equity premium, variance premium, Countercyclical risk aversion, Economic Uncertainty, Dividend yield, Return predictability

Abstract:
Implied volatility indices should have information about risk parameters, once they are cleansed of the influence of normal volatility dynamics and macroeconomic uncertainty. Building on intuition from the dynamic asset pricing literature, we uncover unobserved risk aversion and fundamental uncertainty from the observed time series of the VIX and the credit spreads while controlling for realized volatility, expectations about the macro-economic outlook, and interest rates. We apply this methodology to monthly data from both Germany and the US. We find that implied volatilities contain a substantial amount of information regarding risk aversion whereas credit spreads have a lot to say about both risk aversion and uncertainty. Moreover, there is a significant comovement in the German and US risk aversion.

Economic uncertainty, Risk aversion, Time variation in risk and return, Credit spread, Volatility dynamics

Abstract:
Surveys do! We examine the forecasting power of four alternative methods of forecasting U.S. inflation out-of-sample: time series ARIMA models; regressions using real activity measures motivated from the Phillips curve; term structure models that include linear, non-linear, and arbitrage-free specifications; and survey-based measures. We also investigate several methods of combining forecasts. Our results show that surveys outperform the other forecasting methods and that the term structure specifications perform relatively poorly. We find little evidence that combining forecasts produces superior forecasts to survey information alone. When combining forecasts, the data consistently places the highest weights on survey information.

ARIMA, Phillips curve, forecasting, term structure models

Abstract:
We examine international stock return comovements using country-industry and country-style portfolios. We first establish that parsimonious risk-based factor models capture the covariance structure of the data better than the popular Heston-Rouwenhorst (1994) model. We then establish the following stylized facts regarding stock return comovements. First, we do not find evidence for an upward trend in return correlations, excpet for the European stock markets. Second, the increasing imporatnce of industry factors relative to country factors was a short-lived, temporary phenomenon. Third, we find no evidence for a trend in idiosyncratic risk in any of the countries we examine.

International diversification, correlation dynamics, country debate, factor models, comovements

Abstract:
We examine international stock return comovements using country-industry and country-style portfolios. We first establish that parsimonious risk-based factor models capture the covariance structure of the data better than the popular Heston-Rouwenhorst (1994) model. We then establish the following stylized facts regarding stock return comovements. First, we do not find evidence for an upward trend in return correlations, excpet for the European stock markets. Second, the increasing imporatnce of industry factors relative to country factors was a short-lived, temporary phenomenon. Third, we find no evidence for a trend in idiosyncratic risk in any of the countries we examine.

Abstract:
Given the cross-sectional and temporal variation in their liquidity, emerging equity markets provide an ideal setting to examine the impact of liquidity on expected returns. Our main liquidity measure is a transformation of the proportion of zero daily firm returns, averaged over the month. We find that it significantly predicts future returns, whereas alternative measures such as turnover do not. Consistent with liquidity being a priced factor, unexpected liquidity shocks are positively correlated with contemporaneous return shocks and negatively correlated with shocks to the dividend yield. We consider a simple asset-pricing model with liquidity and the market portfolio as risk factors and transaction costs that are proportional to liquidity. The model differentiates between integrated and segmented countries and time periods. Our results suggest that local market liquidity is an important driver of expected returns in emerging markets, and that the liberalization process has not fully eliminated its impact.

G12, G15, F30

Abstract:
Given the cross-sectional and temporal variation in their liquidity, emerging equity markets provide an ideal setting to examine the impact of liquidity on expected returns. Our main liquidity measure is a transformation of the proportion of zero daily firm returns, averaged over the month. We find that our liquidity measures significantly predict future returns, whereas alternative measures such as turnover do not. Consistent with liquidity being a priced factor, unexpected liquidity shocks are positively correlated with contemporaneous return shocks and negatively correlated with shocks to the dividend yield. We consider a simple asset pricing model with liquidity and the market portfolio as risk factors and transaction costs that are proportional to liquidity. The model differentiates between integrated and segmented countries and time periods. Our results suggest that local market liquidity is an important driver of expected returns in emerging markets, and that the liberalization process has not fully eliminated its impact.

Liquidity pricing, emerging markets, return predictability

Abstract:
Given the cross-sectional and temporal variation in their liquidity, emerging equity markets provide an ideal setting to examine the impact of liquidity on expected returns. Our main liquidity measure is a transformation of the proportion of zero daily firm returns, averaged over the month. We find that our liquidity measures significantly predict future returns, whereas alternative measures such as turnover do not. Consistent with liquidity being a priced factor, unexpected liquidity shocks are positively correlated with contemporaneous return shocks and negatively correlated with shocks to the dividend yield. We consider a simple asset pricing model with liquidity and the market portfolio as risk factors and transaction costs that are proportional to liquidity. The model differentiates between integrated and segmented countries and periods. Our results suggest that local market liquidity is an important driver of expected returns in emerging markets, and that the liberalization process has not eliminated its impact.

Abstract:
It appears that volatility in equity markets is asymmetric: returns and conditional volatility are negatively correlated. We provide a unified framework to simultaneously investigate asymmetric volatility at the firm and the market level and to examine two potential explanations of the asymmetry: leverage effects and time-varying risk premiums. Our empirical application uses the market portfolio and portfolios with different leverage constructed from Nikkei 225 stocks, extending the empirical evidence on asymmetry to Japanese stocks. Although volatility asymmetry is present and significant at the market and the portfolio levels, its source differs across portfolios. We find that it is important to include leverage ratios in the volatility dynamics but that their economic effects are mostly dwarfed by the volatility feedback mechanism. Volatility feedback is enhanced by a phenomenon that we term covariance asymmetry: conditional covariances with the market increase only significantly following negative market news. We do not find significant asymmetries in conditional betas.