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...

We study the effect of bank loan and bond announcements on borrower's stock price. We apply an event study methodology on a sample of companies from 17 European countries and find that debt announcement generates a positive stock market reaction. However, our main conclusion is that the issuance...

Because of non-normality of stock returns nonparametric rank tests are gaining incremental popularity over parametric tests in financial economics event studies. In rank tests financial assets' multiple day cumulative abnormal returns (CARs) are replaced by cumulated ranks. This paper proposes...

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...

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...

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 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...