We estimate a reduced-form model of credit risk that incorporates stochastic volatility in default intensity via stochastic time-change. Our Bayesian MCMC estimation method overcomes nonlinearity in the measurement equation and state-dependent volatility in the state equation. We implement on...

I revisit the Great Inflation and the Great Moderation. I document an immoderation in corporate balance sheet variables so that the Great Moderation is best described as a period of divergent patterns in volatilities for real, nominal and financial variables. A model with time-varying financial...

We investigate the informational content of options-implied probability density functions (PDFs) for the future price of oil. Using a semiparametric variant of the methodology in Breeden and Litzenberger (1978), we investigate the fit and smoothness of distributions derived from alternative PDF...

We analyze a model of anomaly discovery. Consistent with existing evidence, we show that the discovery of an anomaly reduces its magnitude and increases its correlation with existing anomalies. One new prediction is that the discovery of an anomaly reduces the correlation between deciles 1 and...

Using only daily data on bond and stock returns, we identify and characterize flight to safety (FTS) episodes for 23 countries. On average, FTS days comprise less than 3% of the sample, and bond returns exceed equity returns by 2.5 to 4%. The majority of FTS events are country-specific not...

The expansion in financial sector "safe" assets, largely in the form of structured products from the U.S. and the Caribbean, in the lead-up to the global financial crisis has by now been fairly well documented. Using a unique dataset derived from security-level data on U.S. portfolio holdings of...

Do more active hedge fund managers generate higher returns than their less active peers? We attempt to answer this question. Using Kalman Filter techniques, we estimate the risk exposure dynamics of a large sample of live and dead equity long-short hedge funds. These estimates are then used to...

I decompose the cross-sectional variation of the credit spreads for corporate bonds into changing expected returns and changing expectation of credit losses with a model-free method. Using a log-linearized pricing identity and a vector autoregression applied to micro-level data from 1973 to...