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Re-examining the asymmetric predictability of conditional variances: The role of sudden changes in variance

Journal of Banking & Finance 2005 29(10), 2655-2673
The existence of “spillover effects” in financial markets is well documented and multivariate time series techniques have been used to study the transmission of conditional variances among large and small market value firms. Earlier research has suggested that volatility surprises to large capitalization firms are a reliable predictor of the volatility of small capitalization firms. A related line of research has examined how regime shifts in volatility may account for a considerable amount of the persistence in volatility. However, these studies have focused on univariate modeling and many have imposed regime changes on a priori grounds. This paper re-examines the asymmetry in the predictability of the volatilities of large versus small market value firms allowing for sudden changes in variance. Our method of analysis extends the existing literature in two important ways. First, recent advances in time series econometrics allow us to detect the time periods of sudden changes in volatility of large cap and small cap stocks endogenously using the iterated cumulated sums of squares (ICSS) algorithm. Second, we directly incorporate the information obtained on sudden changes in volatility in a Bivariate GARCH model of small and large cap stock returns. Our findings indicate that accounting for volatility shifts considerably reduces the transmission in volatility and, in essence, removes the spillover effects. We conclude that ignoring regime changes may lead one to significantly overestimate the degree of volatility transmission that actually exists between the conditional variances of small and large firms.

The Effects of High School Athletic Participation on Education and Labor Market Outcomes

The Review of Economics and Statistics 2000 82(3), 409-421
We introduce a simple allocation-of-time model to explain the high school athletic participation choice and the implications of this choice for educational and labor market outcomes. Four different factors that could explain athletic participation are identified in the context of this model. A variety of tests of the model are provided using two data sets: the National Longitudinal Survey of Youth and the National Longitudinal Study of the High School Class of 1972. We find some evidence that athletic participation directly affects wages and educational attainment. However, much of the effect of athletic participation on wages and educational attainment appears to reflect differences across individuals in ability or value of leisure.