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Titlebook: Analyzing Event Statistics in Corporate Finance; Methodologies, Evide Jau-Lian Jeng Book 2015 Palgrave Macmillan, a division of Nature Amer

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發(fā)表于 2025-3-21 18:27:22 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Analyzing Event Statistics in Corporate Finance
期刊簡稱Methodologies, Evide
影響因子2023Jau-Lian Jeng
視頻videohttp://file.papertrans.cn/157/156820/156820.mp4
圖書封面Titlebook: Analyzing Event Statistics in Corporate Finance; Methodologies, Evide Jau-Lian Jeng Book 2015 Palgrave Macmillan, a division of Nature Amer
影響因子Analyzing Event Statistics in Corporate Finance provides new alternative methodologies to increase accuracy when performing statistical tests for event studies within corporate finance. In contrast to conventional surveys or literature reviews, Jeng focuses on various methodological defects or deficiencies that lead to inaccurate empirical results, which ultimately produce bad corporate policies. This work discusses the issues of data collection and structure, the recursive smoothing for systematic components in excess returns, the choices of event windows, different time horizons for the events, and the consequences of applications of different methodologies. In providing improvement for event studies in corporate finance, and based on the fact that changes in parameters for financial time series are common knowledge, a new alternative methodology is developed to extend the conventionalanalysis to more robust arguments.
Pindex Book 2015
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沙發(fā)
發(fā)表于 2025-3-21 21:59:05 | 只看該作者
Model Specifications for Normal (or Expected) Returns verify the model specifi-cation, one needs to be cautious about the included explanatory variables. Although many candidate variables seem useful in forecasting the returns, they are not necessarily genuine systematic variables that explain the capital market equilibrium. Common-sense reasoning may
板凳
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Cumulative Abnormal Returns or Structural Change Tests?ncides with the CUSUM statistics in the tests for parameter changes of regressions such as market models. Namely, the applications for the tests on abnormal returns are closely related with the model specification of normal returns, especially with the regression models assumed for the normal (expec
地板
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Recursive Estimation for Normal (or Expected) Returnsmal returns are necessary for further discussions on firm-specific abnormal returns. In this chapter, since all models that approximate normal returns are prone to time-varying parameters, some recursive estimation methods are shown to cope with this nature. Given that the systematic components of a
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Epilogueable selection) in empirical asset pricing models. Various definitions of strong dependence can be introduced to provide better verifications on the essential feature of nondiversifiable pricing kernels that describe the benchmark normal (or expected) returns of risky securities.
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發(fā)表于 2025-3-22 21:28:54 | 只看該作者
sed on the fact that changes in parameters for financial time series are common knowledge, a new alternative methodology is developed to extend the conventionalanalysis to more robust arguments.978-1-349-48481-2978-1-137-49160-2
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