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Epilogue

In: Analyzing Event Statistics in Corporate Finance

Author

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  • Jau-Lian Jeng

    (Azusa Pacific University)

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.

Suggested Citation

  • Jau-Lian Jeng, 2015. "Epilogue," Palgrave Macmillan Books, in: Analyzing Event Statistics in Corporate Finance, pages 169-171, Palgrave Macmillan.
  • Handle: RePEc:pal:palchp:978-1-137-49160-2_6
    DOI: 10.1057/9781137491602_6
    as

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