 EpilogueJau-Lian Jeng
A chapter in Analyzing Event Statistics in Corporate Finance, 2015, pp 169-171 from Palgrave Macmillan Abstract: Abstract Event studies in corporate finance are so critical for verification on the capital market efficiency and the speed of adjustments in stock returns. The contents of this book merely touch the surface of this gigantic territory of intellectual expertise. Although the issues in event studies of corporate finance are not as spectacular as the space wonderment of galaxies, their varieties and depths are enormous. For the purpose of continuing research, certain extended works are required. For instance, the model search procedures can be extended with further works in statistics for long dependence. Given that the concept of long (or strong) dependence in stochastic processes (either for time series or cross-sectional observations) is more extensive than the specification of unit root(s), developments of robust statistics for long dependence is in need to elaborate the model selection (or variable 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. Date: 2015 There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it. Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-1-137-49160-2_6 Ordering information: This item can be ordered from Access Statistics for this chapter More chapters in Palgrave Macmillan Books from Palgrave Macmillan |
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