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Otto Van Hemert's
Scholarly Papers
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Total Downloads
28,065 |
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Citations
62 |
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Yuliya S. Demyanyk Federal Reserve Bank of Cleveland Otto Van Hemert New York University - Department of Finance
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10 Oct 07
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20 Jun 09
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26,211 (11)
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Abstract:
Using loan-level data, we analyze the quality of subprime mortgage loans by adjusting their performance for differences in borrower characteristics, loan characteristics, and macroeconomic conditions. We find that the quality of loans deteriorated for six consecutive years before the crisis and that securitizers were, to some extent, aware of it. We provide evidence that the rise and fall of the subprime mortgage market follows a classic lending boom-bust scenario, in which unsustainable growth leads to the collapse of the market. Problems could have been detected long before the crisis, but they were masked by high house price appreciation between 2003 and 2005.
mortgage, subprime, delinquency, foreclosure
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Mortgage Timing
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Ralph S. J. Koijen University of Chicago - Booth School of Business Otto Van Hemert New York University - Department of Finance Stijn Van Nieuwerburgh New York University
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10 Sep 07
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29 Dec 08
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865 ( 6,360) |
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Ralph S. J. Koijen University of Chicago - Booth School of Business Otto Van Hemert New York University - Department of Finance Stijn Van Nieuwerburgh New York University
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23 Dec 08
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29 Dec 08
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We study how the term structure of interest rates relates to mortgage choice, both at the household and the aggregate level. A simple utility framework of mortgage choice points to the long-term bond risk premium as theoretical determinant: when the bond risk premium is high, fixed-rate mortgage payments are high, making adjustable-rate mortgages more attractive. This long-term bond risk premium is markedly different from other term structure variables that have been proposed, including the yield spread and the long yield. We confirm empirically that the bulk of the time variation in both aggregate and loan-level mortgage choice can be explained by time variation in the bond risk premium. This is true whether bond risk premia are measured using forecasters' data, a VAR term structure model, or from a simple household decision rule based on adaptive expectations. This simple rule moves in lock-step with mortgage choice, lending credibility to a theory of strategic mortgage timing by households.
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Ralph S. J. Koijen University of Chicago - Booth School of Business Otto Van Hemert New York University - Department of Finance Stijn Van Nieuwerburgh New York University
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10 Sep 07
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30 Oct 07
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The fraction of newly-originated mortgages that are of the adjustable-rate (ARM) versus the fixed-rate (FRM) type exhibits a surprising amount of time variation. A simple utility framework of mortgage choice points to the bond risk premium as theoretical determinant: when the bond risk premium is high, FRM payments are high, making ARMs more attractive. We confirm empirically that the bulk of the time variation in household mortgage choice can be explained by time variation in the bond risk premium. This is true regardless of whether bond risk premia are measured using forecasters' data, a VAR term structure model, or a simple rule-of-thumb based on adaptive expectations. This simple rule-of-thumb moves in lock-step with mortgage choice, thereby lending further credibility to a theory of strategic mortgage timing by households.
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Otto Van Hemert New York University - Department of Finance
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15 Mar 06
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23 Feb 09
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389 (19,919)
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I investigate household interest rate risk management by solving a life-cycle asset allocation model that includes mortgage and bond portfolio choice. I find that most investors prefer an adjustable-rate mortgage, and thereby save on the bond risk premium that is contained in fixed-rate mortgage payments. Only older, risk-averse investors hold some fixed-rate mortgage debt. Together with a position in short-term bonds this enables them to hedge against changes in the real interest rate, while the inflation exposure of the debt and bond positions cancel out. Hedging house price changes with bonds only occurs at the end of the life cycle. Early in the life cycle short-sale constraints prevent an effective hedge.
portfolio choice, mortgage, housing, term structure of interest rates
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Frank de Jong Tilburg University - Department of Economics Joost Driessen Tilburg University - Department of Finance Otto Van Hemert New York University - Department of Finance
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13 Jun 05
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31 Jul 08
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370 (21,251)
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Abstract:
We assess the economic benefits of having access to housing futures for homeowning investors, using a model for the portfolio choice between stocks, bonds of various maturity, different mortgage types, and housing futures. We compare the utility gains of housing futures with the economic benefits of two other important housing-related portfolio decisions: (i) incorporating the housing exposure in financial portfolio choice and (ii) mortgage choice. Our analysis indicates that the portfolio implications and welfare improvements of the housing futures are small. This is mainly due to the large remaining idiosyncratic house price risk which cannot be hedged using futures written on a city-level house price index.
Housing futures, portfolio choice, mortgage
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Otto Van Hemert New York University - Department of Finance
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08 Sep 09
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19 Nov 09
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230 (36,903)
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Abstract:
A CMBX contract is essentially a credit default swap on a pool of Commercial Mortgage-Backed Securities (CMBS). Both CMBX and Real Estate Investment Trusts (REITs) can be thought of as derivative contracts on commercial property values. This creates a tight fundamental link: our structural pricing model for CMBX, which is calibrated to REIT stock and option data, explains more than 86% of the daily price variation of CMBX contracts. We use the CMBX pricing model to document two large short-term deviations from market efficiency; consistent with price pressure by banks hedging their CMBS and commercial loan exposure using CMBX contracts. First, the model mispricing significantly predicts subsequent CMBX, but not REIT, price changes. The effect is economically meaningful: a strategy exploiting the predictability has an annualized Sharpe ratio of 2.35, net of transaction costs. Second, we show that following days with CMBS specific news, the CMBX market overreacts relative to the model for two days, which fully reverts over the next two days.
Mortgage, CMBS, CMBX, REIT, Market Efficiency, Financial Crisis, Commercial Real Estate
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