Issues in the construction of corporate bond event studies using bond transaction data are explored. We show that the procedures used in studies to date have relatively low power because they fail to control for the substantial heteroskedasticity in bond returns due to differences in...

The procedures used in corporate bond event studies to date fail to control for heteroskedasticity due to differences in return volatility by term-to-maturity, rating, and other factors resulting in low test power. Bond return standardization yields considerably more powerful tests. Also, due to...

This paper estimates how the shape of the implied volatility smile and the size of the variance risk premium relate to parameters of GARCH-type time-series models measuring how conditional volatility responds to return shocks. Markets in which return shocks lead to large increases in conditional...

By Jensen's inequality, a model's forecasts of the variance and standard deviation of returns cannot both be unbiased. This paper explores the bias in GARCH type model forecasts of the standard deviation of returns, which we argue is the more appropriate volatility measure for most financial...

Prior studies indicate that institutional investors are informed, in the sense that their trades predict price changes. In this study we show that return predictive ability of institutions arises (after controlling for size, book-to-market, and momentum) mainly from institutional sales of...