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 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 the robustness of existing long-run event study methodologies using the Asia-Pacific security market data. In doing so, the study employs the buy-and-hold abnormal return approach and the calendar time portfolio method to measure the return anomalies. Since each of these...

Because of non-normality of stock returns nonparametric rank tests are gaining incremental popularity over parametric tests in event studies. In rank tests multiple day cumulative abnormal returns (CARs) are replaced by cumulated ranks. We propose modifications to the existing approach that...

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...

The last decade witnessed a proliferation in issues of sukuk, Islamic financial instruments structured to replicate the cash flows of conventional bonds. Using a market-based approach on Malaysian data, we consider whether investors react differently to the announcements of sukuk and...

This paper investigates stock market reaction to debt arrangements in Russia. The analysis of the valuation of debt arrangements by stock markets provides information about the use of debt by Russian companies. We apply the event study methodology to check whether debt announcements lead to...