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Contemporaneous event studies in cor...
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Jeng, Jau-Lian.
Contemporaneous event studies in corporate financemethods, critiques and robust alternative approaches /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Contemporaneous event studies in corporate financeby Jau-Lian Jeng.
其他題名:
methods, critiques and robust alternative approaches /
作者:
Jeng, Jau-Lian.
出版者:
Cham :Springer International Publishing :2020.
面頁冊數:
xix, 227 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
CorporationsFinance
電子資源:
https://doi.org/10.1007/978-3-030-53809-5
ISBN:
9783030538095$q(electronic bk.)
Contemporaneous event studies in corporate financemethods, critiques and robust alternative approaches /
Jeng, Jau-Lian.
Contemporaneous event studies in corporate finance
methods, critiques and robust alternative approaches /[electronic resource] :by Jau-Lian Jeng. - Cham :Springer International Publishing :2020. - xix, 227 p. :ill., digital ;24 cm.
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.
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. Jau-Lian Jeng is Professor of Finance at Azusa Pacific University in the USA. He teaches courses in corporate finance, managerial finance, Financial Analysis, Financial Risk Management, and applied business research. An expert in mathematical modeling, statistical analyses and econometric and time series modeling, Jau-Lien has written a number of articles for academic journals, including the Global Finance Journal and Chinese Economy. He has also published two books with Palgrave Macmillan: Analyzing Event Studies in Corporate Finance (2015) and Empirical Asset Pricing Models (2018)
ISBN: 9783030538095$q(electronic bk.)
Standard No.: 10.1007/978-3-030-53809-5doiSubjects--Topical Terms:
881394
Corporations
--Finance
LC Class. No.: HG4027.15
Dewey Class. No.: 338.60410727
Contemporaneous event studies in corporate financemethods, critiques and robust alternative approaches /
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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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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. Jau-Lian Jeng is Professor of Finance at Azusa Pacific University in the USA. He teaches courses in corporate finance, managerial finance, Financial Analysis, Financial Risk Management, and applied business research. An expert in mathematical modeling, statistical analyses and econometric and time series modeling, Jau-Lien has written a number of articles for academic journals, including the Global Finance Journal and Chinese Economy. He has also published two books with Palgrave Macmillan: Analyzing Event Studies in Corporate Finance (2015) and Empirical Asset Pricing Models (2018)
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