We assess the effects on the welfare of corporate borrowers of the recent wave of bank consolidations in the United States that has produced a small number of very large banks. Our evidence from a sample of more than 3,000 commercial borrowers from banks involved in large mergers indicates that...

The present paper provides further empirical evidence on the credit view (i.e., bank credit availability has a positive impact on macroeconomic activity) by investigating the case of Finland. The Finnish economy suffered a severe recession in the early 1990s that was marked by widespread banking...

This article examines the issue of cross-sectional correlation in event studies. When there is event-date clustering, we find that even relatively low cross-correlation among abnormal returns is serious in terms of over-rejecting the null hypothesis of zero average abnormal returns.We propose a...

This study applies a rolling estimation window approach to adjust for time-varying risk parameters in asset pricing models to compute long-run abnormal returns after major corporate events. Abnormal returns are defined as realized returns minus predicted returns on each day in a five-year,...

This paper provides cross-sectional tests of the Capital Asset Pricing Model (CAPM). To mitigate problems with noise in realized stock return series, we use a smoothed data series of average daily returns per month. Tests using U.S. stock returns for equal-weighted portfolios indicate that beta...

Bessembinder and Zhang (2013) show that long-run abnormal returns after major corporate events detected by the BHAR method using size and book-to-market matched control stocks can be explained by differences between event and control stocks' unsystematic and systematic characteristics. We find...

This paper proposes a novel standardized test for abnormal returns in long-horizon event studies that takes into account cross-sectional correlation, autocorrelation, and hetersoskedasticity of stock returns. Extensive simulation analyses demonstrate improved size and power of testing relative...

This paper investigates abnormal standardized returns (ASRs) after major corporate events. Dutta, Knif, Kolari, and Pynnonen (2018) have shown that the ASR t-test has superior size and power compared to traditional test statistics. Based on this new test statistic compared to traditional test...

This article re-examines the issue of cross-sectional correlation. Kolari and Pynnonen (2010) find that, in the case of event-date clustering with the same event window for all firms, relatively low cross-sectional correlation among abnormal returns can seriously bias standard tests to...

In event study analyses of abnormal returns on a single day, Corrado's (1989) nonparametric rank test and its modification in Corrado and Zivney (1992) have good empirical power properties, but problems arise in their application to cumulative abnormal returns (CARs). This paper proposes a...