Knowledge that Transforms

[Nonlinear drift models of the short rate are estimated using data on the short end of the term structure, where the cross-sectional relation is obtained by an analytical approximation. The findings reveal that (i) nonlinear physical drift is not implied unless it is strongly affected by cross-sectional dimensions of the data; (ii) nonlinear risk-neutral drift that allows for fast mean reversion for high rates is desirable to explain and predict observed patterns of yield spreads; and (iii) for higher frequency data from which transitory shocks are removed, (ii) still remains valid although the nonlinearity is somewhat reduced.]

[Risk aversion functions extracted from observed stock and option prices can be negative, as shown by Aït-Sahalia and Lo (2000), Journal of Econometrics 94: 9-51; and Jackwerth (2000), The Review of Financial Studies 13(2), 433-51. We rationalize this puzzle by a lack of conditioning on latent state variables. Once properly conditioned, risk aversion functions and pricing kernels are consistent with economic theory. To differentiate between the various theoretical explanations in terms of heterogeneity of beliefs or preferences, market sentiment, state-dependent utility, or regimes in fundamentals, we calibrate several consumption-based asset pricing models to match the empirical pricing kernel and risk aversion functions at different dates and over several years.]

[We use a movie industry project-by-project dataset to analyze the choice of financing a project internally versus financing it through outside alliances. The results indicate that project risk is positively correlated with alliance formation. Movie studios produce a variety of films and tend to develop their safest projects internally. Our findings are consistent with internal capital market explanations. We find mixed evidence regarding resource pooling, i.e., sharing the cost of large projects. Finally, the evidence shows that projects developed internally perform similarly to projects developed through outside alliances.]

[We propose a new method for pricing options based on GARCH models with filtered historical innovations. In an incomplete market framework, we allow for different distributions of historical and pricing return dynamics, which enhances the model's flexibility to fit market option prices. An extensive empirical analysis based on S&P 500 index options shows that our model outperforms other competing GARCH pricing models and ad hoc Black-Scholes models. We show that the flexible change of measure, the asymmetric GARCH volatility, and the nonparametric innovation distribution induce the accurate pricing performance of our model. Using a nonparametric approach, we obtain decreasing state-price densities per unit probability as suggested by economic theory and corroborating our GARCH pricing model. Implied volatility smiles appear to be explained by asymmetric volatility and negative skewness of filtered historical innovations.]

[We construct firm-specific measures of expected equity returns using corporate bond yields, and replace standard ex post average returns with our expected-return measures in asset pricing tests. We find that the market beta is significantly priced in the cross section of expected returns. The expected size and value premiums are positive and countercyclical, but there is no evidence of positive expected momentum profits.]

[Twenty-five years of volatility research has left the macroeconomic environment playing a minor role. This paper proposes modeling equity volatilities as a combination of macroeconomic effects and time series dynamics. High-frequency return volatility is specified to be the product of a slow-moving component, represented by an exponential spline, and a unit GARCH. This slow-moving component is the low-frequency volatility, which in this model coincides with the unconditional volatility. This component is estimated for nearly 50 countries over various sample periods of daily data. Low-frequency volatility is then modeled as a function of macroeconomic and financial variables in an unbalanced panel with a variety of dependence structures. It is found to vary over time and across countries. The low-frequency component of volatility is greater when the macroeconomic factors of GDP, inflation, and short-term interest rates are more volatile or when inflation is high and output growth is low. Volatility is higher not only for emerging markets and markets with small numbers of listed companies and market capitalization relative to GDP, but also for large economies. The model allows long horizon forecasts of volatility to depend on macroeconomic developments, and delivers estimates of the volatility to be anticipated in a newly opened market.]

We examine the accuracy and contribution of the Merton distance to default (DD) model, which is based on Merton's (1974) bond pricing model. We compare the model to a “naïve” alternative, which uses the functional form suggested by the Merton model but does not solve the model for an implied probability of default. We find that the naïve predictor performs slightly better in hazard models and in out-of-sample forecasts than both the Merton DD model and a reduced-form model that uses the same inputs. Several other forecasting variables are also important predictors, and fitted values from an expanded hazard model outperform Merton DD default probabilities out of sample. Implied default probabilities from credit default swaps and corporate bond yield spreads are only weakly correlated with Merton DD probabilities after adjusting for agency ratings and bond characteristics. We conclude that while the Merton DD model does not produce a sufficient statistic for the probability of default, its functional form is useful for forecasting defaults.

[Using earnings announcement events made by firms belonging to Korean chaebols, we examine propping within a chaebol. Consistent with the market's ex ante valuation of intragroup propping, we find that the announcement of increased (decreased) earnings by a chaebol-affiliated firm has a positive (negative) effect on the market value of other nonannouncing affiliates. The sensitivity of the change in the market value of nonannouncing affiliates to abnormal returns for the announcing firms is higher if the cash flow right of the announcing firm's controlling shareholder is higher. The sensitivity is also higher if the announcing firm is larger, performs well, and has a higher debt guarantee ratio.]

[We analyze event abnormal returns when returns predict events. In fixed samples, we show that the expected abnormal return is negative and becomes more negative as the holding period increases. Asymptotically, abnormal returns converge to zero provided that the process of the number of events is stationary. Nonstationarity in the process of the number of events is needed to generate a large negative bias. We present theory and simulations for the specific case of a lognormal model to characterize the magnitude of the small-sample bias. We illustrate the theory by analyzing long-term returns after initial public offerings (IPOs) and seasoned equity offerings (SEOs).]

[This article examines how financial constraints and product market exposures determine the response of multinational and local firms to sharp depreciations. U.S. multinational affiliates increase sales, assets, and investment significantly more than local firms during, and subsequent to, depreciations. Differing product market exposures do not explain these differences in performance. Instead, a differential ability to circumvent financial constraints is a significant determinant of the observed differences in investment responses. Multinational affiliates also access parent equity when local firms are most constrained. These results indicate another role for foreign direct investment in emerging markets - multinational affiliates expand economic activity during currency crises when local firms are most constrained.F23,F31,G15,G31,G32]