Contemporaneous Event Studies in Corporate Finance: Methods, Critiques and Robust Alternative Approaches 1st Edition by Jau-Lian Jeng – Ebook PDF Instant Download/DeliveryISBN: 3030538095, 9783030538095
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Product details:
ISBN-10 : 3030538095
ISBN-13 : 9783030538095
Author: Jau-Lian Jeng
Providing a comprehensive overview of event study methodology in the field of corporate finance, this book discusses how traditional methods verify the significance and insignificance of events in statistical sampling, and emphasize possible deviation from the statistics of interest. However, the author illustrates the flaws of conventional methodology and proposes alternative methods which can be used for a more robust study of estimating normal and abnormal returns. Traditional methods fail to recognize that the importance of an event will also influence the frequency of the occurrence of the event, and consequently they produce subjective sampling results. This book highlights contemporaneous recursive methods which can be used to track down normal returns and avoid arbitrary determination for the estimation and event period. In addition, the author offers an alternative monitoring scheme to identify the events of concern. Addressing a need for more objective sampling methods in corporate finance event studies, this timely book will appeal to students and academics researching financial econometrics and time series analysis, corporate finance and capital markets.
Contemporaneous Event Studies in Corporate Finance: Methods, Critiques and Robust Alternative Approaches 1st Table of contents:
Part I. The Conventional Approach
1. Popular Methods for Event Studies in Corporate Finance—Subjectivity Versus Robustness
Part II. Alternative Approach for the Contemporaneous Event Studies
2. Assessments of Normal Returns
3. Occupation Time Statistics—The Intensity of Events
4. Monitoring Tests and the Time of Duration
5. Sequential Monitoring for Corporate Events in Using Occupation Time Statistics
6. Real-Time Applications of Monitoring and Empirical Performance
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