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...

Previous studies find only a weak relationship between inflation news and stock market returns. We show that significant daily market reactions to different types of inflation shocks occur in dynamic economic states. Also, although previous work has not examined longer-run market reactions, our...

Due to a lack of supporting evidence, market beta in the widely-acclaimed Capital Asset Pricing Model (CAPM) is considered dead nowadays. In this paper we propose a novel approach for estimating market beta using the traditional market model. Upon deriving a covariance adjustment term, we...

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 financial economics event studies. In rank tests financial assets' multiple day cumulative abnormal returns (CARs) are replaced by cumulated ranks. This paper proposes...

Ordinary least squares regression residuals have a distribution that is dependent on a scale parameter. The term 'Studentization' is commonly used to describe a scale parameter dependent quantity U by a scale estimate S such that the resulting ratio, U/S, has a distribution that is free of from...

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...

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 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,...