We analyze a financially distressed owner-managed project. The main results of the model are: (1) borrower default is an endogenous response to the anticipated restructuring–foreclosure outcome; (2) the lender’s restructuring–foreclosure decision depends critically on the interaction between project value and industry liquidity; and (3) the lender waits for the industry to recapitalize before selling assets obtained through foreclosure. Empirical analysis of a large sample of defaulted commercial real estate loans supports many of the model predictions, including restructuring–foreclosure outcomes that are consistent with endogenous borrower default and firesale discounts that vary depending on industry market conditions at the time of foreclosure.

We analyze a financially distressed owner-managed project. The main results of the model are: (1) borrower default is an endogenous response to the anticipated restructuring-foreclosure outcome; (2) the lender's restructuring-foreclosure decision depends critically on the interaction between project value and industry liquidity; and (3) the lender waits for the industry to recapitalize before selling assets obtained through foreclosure. Empirical analysis of a large sample of defaulted commercial real estate loans supports many of the model predictions, including restructuring-foreclosure outcomes that are consistent with endogenous borrower default and firesale discounts that vary depending on industry market conditions at the time of foreclosure.

In this article, we provide a novel rationale for credit ratings. The rationale that we propose is that credit ratings serve as a coordinating mechanism in situations where multiple equilibria can obtain. We show that credit ratings provide a "focal point" for firms and their investors, and explore the vital, but previously overlooked implicit contractual relationship between a credit rating agency (CRA) and a firm through its credit watch procedures. Credit ratings can help fix the desired equilibrium and as such play an economically meaningful role. Our model provides several empirical predictions and insights regarding the expected price impact of rating changes.

Comparisons of learning models in repeated games have been a central preoccupation of experimental and behavioral economics over the last decade. Much of this work begins with pooled estimation of the model(s) under scrutiny. I show that in the presence of parameter heterogeneity, pooled estimation can produce a severe bias that tends to unduly favor reinforcement learning relative to belief learning. This occurs when comparisons are based on goodness of fit and when comparisons are based on the relative importance of the two kinds of learning in hybrid structural models. Even misspecified random parameter estimators can greatly reduce the bias relative to pooled estimation.

If investors are myopic mean-variance optimizers, a stock's expected return is linearly related to its beta in the cross-section. The slope of the relation is the cross-sectional price of risk, which should equal the expected equity premium. We use this simple observation to forecast the equity-premium time series with the cross-sectional price of risk. We also introduce novel statistical methods for testing stock-return predictability based on endogenous variables whose shocks are potentially correlated with return shocks. Our empirical tests show that the cross-sectional price of risk (1) is strongly correlated with the market's yield measures and (2) predicts equity-premium realizations, especially in the first half of our 1927–2002 sample.

From 1997 through 2003, the UN Oil for Food Program allowed Iraq to export oil for humanitarian supplies. We hypothesize that Iraq deliberately set the price of its oil below market prices to solicit bribes from oil buyers. By comparing the price gap between Iraqi oil and its close substitutes during the Program to the gap prior to the Program, we find evidence of significant underpricing. Our central estimate suggests that Iraq collected $1.3 billion in bribes from underpricing its oil, or 2 percent of oil revenues. Underpricing is higher during periods of high volatility in oil markets—when detection is more difficult—but declines after the UN limited Iraq's ability to set the price of its oil.

We develop a comprehensive and parsimonious measure of corporate financing activities and document a negative relation between this measure and both future stock returns and future profitability. The economic and statistical significance of our results is stronger than in previous research focusing on individual categories of corporate financing activities. To discriminate between risk versus misvaluation as explanations for this relation, we analyze the association between our measure of external financing and sell-side analysts’ forecasts. Consistent with the misvaluation explanation, our measure of external financing is positively related to overoptimism in analysts’ forecasts.

Value at risk (VaR) and conditional value at risk (CVaR) are frequently used as risk measures in risk management. Compared to VaR, CVaR is attractive since it is a coherent risk measure. We analyze the problem of computing the optimal VaR and CVaR portfolios. We illustrate that VaR and CVaR minimization problems for derivatives portfolios are typically ill-posed. We propose to include cost as an additional preference criterion for the CVaR optimization problem. We demonstrate that, with the addition of a proportional cost, it is possible to compute an optimal CVaR derivative investment portfolio with significantly fewer instruments and comparable CVaR and VaR. A computational method based on a smoothing technique is proposed to solve a simulation based CVaR optimization problem efficiently. Comparison is made with the linear programming approach for solving the simulation based CVaR optimization problem.

We examine data from the mid-1980s to 2003 to investigate whether stock prices set on the Tokyo Stock Exchange for Japanese firms react more strongly to changes in credit ratings of global rating agencies than of local agencies. This offers a strong test of relative influence of the two groups of rating agencies. We hypothesize that global raters will have more influence, but given that the two global agencies, Moody’s and Standard and Poors, are headquartered in the United States, analysis of stocks of Japanese firms listed on US exchanges would confound the results to the extent there is a home bias for raters. We find that global agencies are more influential than the two major local raters, Japan Rating and Investment Information and Japan Credit Rating Agency, for rating downgrades. Thus for credit downgrades, global raters are more influential than local ones even in the local market. Consistent with previous research, we find that upgrades are benign events, and this holds true for global as well as local agencies.

In this article, we provide a novel rationale for credit ratings. The rationale that we propose is that credit ratings serve as a coordinating mechanism in situations where multiple equilibria can obtain. We show that credit ratings provide a “focal point” for firms and their investors, and explore the vital, but previously overlooked implicit contractual relationship between a credit rating agency (CRA) and a firm through its credit watch procedures. Credit ratings can help fix the desired equilibrium and as such play an economically meaningful role. Our model provides several empirical predictions and insights regarding the expected price impact of rating changes.