Analyzing Event Statistics in Corporate Finance ― Methodologies, Evidences, and Critiques

Analyzing Event Statistics in Corporate Finance provides new alternative methodologies to increase accuracy when performing statistical tests for event studies within corporate finance. In contrast to conventional surveys or literature reviews, Jeng focuses on various methodological defects or deficiencies that lead to inaccurate empirical results, which ultimately produce bad corporate policies. This work discusses the issues of data collection and structure, the recursive smoothing for systematic components in excess returns, the choices of event windows, different time horizons for the events, and the consequences of applications of different methodologies. In providing improvement for event studies in corporate finance, and based on the fact that changes in parameters for financial time series are common knowledge, a new alternative methodology is developed to extend the conventional
analysis to more robust arguments.

Jau-Lian Jeng is Professor and Program Director of Finance at Azusa Pacific University, USA. His publications have appeared in Global Finance Journal, The Chinese Economy, Journal of Mathematical Finance, and Public Finance Review. He has also presented many papers at the annual Western Economic Association conferences since 2008.