• Selected
• Entire List

Abstract:
We document that short-run deviations between prices and fundamentals can be identified in real time using equity analysts' target price forecasts. The deviations are economically and statistically significant and of a magnitude not easily explained by transaction costs alone. Our benchmark portfolio of S&P500 stocks, for instance, earned an average risk-adjusted return of 195bps per month during the period 1999-2004. We show that the abnormal return is consistent with a premium required by investors for providing liquidity and is highly correlated with standard cross-sectional measures of liquidity such as the bid-ask spread, price impact and changes in signed trading volume. Our results contribute to the existing literature on analysts' forecasts by pointing out that, while the target price itself need not provide an accurate estimate of true fundamental values, relative valuations of firms within an industry tend to be more precise. This finding is consistent with analysts having skill in analyzing the specifics of individual firms but limited ability to forecast systematic factors driving returns at the sector level.

Analyst target prices, liquidity

Abstract:
We describe an algorithm for calculating second order approximations to the solutions to nonlinear stochastic rational expectation models. The paper also explains methods for using such an approximate solution to generate forecasts, simulated time paths for the model, and evaluations of expected welfare differences across different versions of a model. The paper gives conditions for local validity of the approximation that allow for disturbance distributions with unbounded support and allow for non-stationarity of the solution process.

Solving dynamic equilibrium models, second order accurate solution

Abstract:
Globalization has brought a sharp increase in the developed world’s labor supply. Labor in developing countries – countries with vast pools of underemployed people – can now more easily augment labor in the developed world, without having to relocate, in ways not thought possible only a few decades ago. We argue that the large increase in the developed world’s labor supply, triggered by geo-political events and technological innovations, is the major underlying cause of the global macro economic imbalances that led to the great recession. The inability of existing institutions in the US and the rest of the world to cope with this shock set the stage for the great recession: The inability of emerging economies to absorb savings through domestic investment and consumption due to inadequate national financial markets and difficulties in enforcing financial contracts; the currency controls motivated by immediate national objectives; and the inability of the US economy to adjust to the perverse incentives caused by huge money inflows leading to a breakdown of checks and balances at various financial institutions. The financial crisis in the US was but the first acute symptom that had to be treated. A sustainable recovery will only occur when the natural flow of capital from developed to developing nations is restored.

Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

Abstract:
This paper proposes a simple framework for analyzing a continuum of monetary policy rules characterized by differing degrees of credibility, in which commitment and discretion become special cases of what we call quasi commitment. The monetary policy authority is assumed to formulate optimal commitment plans, to be tempted to renege on them, and to succumb to this temptation with a constant exogenous probability known to the private sector. By interpreting this probability as a continuous measure of the (lack of) credibility of the monetary policy authority, we investigate the welfare effect of a marginal increase in credibility. Our main finding is that, in a simple model of the monetary transmission mechanism, most of the gains from commitment accrue at relatively low levels of credibility. In our benchmark calibration, a commitment expected to last for only 6 quarters is enough to bridge 75% of the welfare gap between discretion and commitment. This seems to justify the well known concern of monetary policy makers about their credibility, even in a world with limited access to commitment technologies.

Commitment, discretion, credibility, welfare

Abstract:
Disturbances affecting agents intertemporal substitution are the key driving force of macroeconomic fluctuations. We reach this conclusion exploiting the bond pricing implications of an estimated general equilibrium model of the U.S. business cycle with a rich set of real and nominal frictions.

Abstract:
We propose two new jump-robust estimators of integrated variance based on highfrequency return observations. These MinRV and MedRV estimators provide an attractive alternative to the prevailing bipower and multipower variation measures. Specifically, the MedRV estimator has better theoretical efficiency properties than the tripower variation measure and displays better finite-sample robustness to both jumps and the occurrence of "zero” returns in the sample. Unlike the bipower variation measure, the new estimators allow for the development of an asymptotic limit theory in the presence of jumps. Finally, they retain the local nature associated with the low order multipower variation measures. This proves essential for alleviating finite sample biases arising from the pronounced intraday volatility pattern which afflict alternative jump-robust estimators based on longer blocks of returns. An empirical investigation of the Dow Jones 30 stocks and an extensive simulation study corroborate the robustness and efficiency properties of the new estimators.

High-frequency data, Integrated variance, Finite activity jumps, Realized volatility, Jump robustness, Nearest neighbor truncation

Abstract:
We propose two new jump-robust estimators of integrated variance based on high-frequency return observations. These MinRV and MedRV estimators provide an attractive alternative to the prevailing bipower and multipower variation measures. Specifically, the MedRV estimator has better theoretical efficiency properties than the tripower variation measure and displays better finite-sample robustness to both jumps and the occurrence of "zero'' returns in the sample. Unlike the bipower variation measure, the new estimators allow for the development of an asymptotic limit theory in the presence of jumps. Finally, they retain the local nature associated with the low order multipower variation measures. This proves essential for alleviating finite sample biases arising from the pronounced intraday volatility pattern which afflict alternative jump-robust estimators based on longer blocks of returns. An empirical investigation of the Dow Jones 30 stocks and an extensive simulation study corroborate the robustness and efficiency properties of the new estimators.

Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.