TL;DR: In this paper, the authors examine properties of daily stock returns and how the particular characteristics of these data affect event study methodologies and show that recognition of autocorrelation in daily excess returns and changes in their variance conditional on an event can sometimes be advantageous.
TL;DR: In this article, event study methods are described including some of the potential complications of the approach, and an example is included to illustrate the approach and to illustrate how the impact of an economic event can be measured by examining security prices surrounding the event.
Abstract: The event study is an important research tool in economics and finance. The goal of an event study is to measure the effects of an economic event on the value of firms. Event study methods exploit the fact that, given rationality in the marketplace, the effects of an event will be reflected immediately in security prices. Thus the impact can be measured by examining security prices surrounding the event. In this paper event study methods are described including some of the potential complications. An example is included to illustrate the approach.
TL;DR: In this article, observed stock return data are employed to examine various methodologies which are used 111 event studies to measure security price performance, and abnormal performance is introduced into this data and misuse of any of the methodologies can result in false inferences about the presence of abnormal performance.
TL;DR: This paper found that stock prices move together more in poor economies than in rich economies, and this "nding is not due to market size and is only partially explained by higher fundamentals".
TL;DR: In this article, the authors extended the risk management model by theorizing that some types of CSR activities will be more likely to create goodwill and offer insurance-like protection than other types.