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Intertemporal Cross-Dependence in Securities Daily Returns and the Short-Run Intervaling Effect on Systematic Risk

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  • Hawawini, Gabriel A.

Abstract

Statistical estimates of securities' systematic risk and the Market Model R2 are not invariant to the length of the differencing interval over which securities' returns are measured. This phenomenon, referred to as “The Intervaling Effect,†has been widely observed and discussed in the literature. Assuming that returns are multiplicative and independently distributed, Levhari and Levy [7] have developed a model that explains the intervaling effect on systematic risk for differencing intervals of one to 30 months. However, with intervals as, short as a day, their independence assumption does not usually hold.

Suggested Citation

  • Hawawini, Gabriel A., 1980. "Intertemporal Cross-Dependence in Securities Daily Returns and the Short-Run Intervaling Effect on Systematic Risk," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(1), pages 139-149, March.
    • Handle: RePEc:cup:jfinqa:v:15:y:1980:i:01:p:139-149_00
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    Citations

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    Cited by:

    1. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-040, New York University, Leonard N. Stern School of Business-.
    2. Gabriel A. Hawawini, 1980. "The Intertemporal Cross Price Behavior of Common Stocks: Evidence and Implications," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 3(2), pages 153-167, June.
    3. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 1999. "Behavioralize This! International Evidence on Autocorrelation Patterns of Stock Index and Futures Returns," NBER Working Papers 7214, National Bureau of Economic Research, Inc.
    4. Chenglu Jin & Thomas Conlon & John Cotter, 2023. "Co-Skewness across Return Horizons," Journal of Financial Econometrics, Oxford University Press, vol. 21(5), pages 1483-1518.
    5. Yingying Xu & Chi-Wei Su & Jaime Ortiz, 2021. "Is gold a useful hedge against inflation across multiple time horizons?," Empirical Economics, Springer, vol. 60(3), pages 1175-1189, March.
    6. Masih, Mansur & Alzahrani, Mohammed & Al-Titi, Omar, 2010. "Systematic risk and time scales: New evidence from an application of wavelet approach to the emerging Gulf stock markets," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 10-18, January.
    7. Perron, Pierre & Chun, Sungju & Vodounou, Cosme, 2013. "Sampling interval and estimated betas: Implications for the presence of transitory components in stock prices," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 42-62.
    8. Belinda Mucklow, 1994. "Market Microstructure: An Examination of the Effects on Intraday Event Studies," Contemporary Accounting Research, John Wiley & Sons, vol. 10(2), pages 355-382, March.
    9. Chun-Hao Chang & Brice Dupoyet & Arun Prakash, 2008. "Effect of intervalling and skewness on portfolio selection in developed and developing markets," Applied Financial Economics, Taylor & Francis Journals, vol. 18(21), pages 1697-1707.
    10. Dong-Hyun Ahn & Jacob Boudoukh & Matthew Richardson & Robert F. Whitelaw, 2002. "Partial Adjustment or Stale Prices? Implications from Stock Index and Futures Return Autocorrelations," Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 655-689, March.
    11. Gelman, Sergey & Burhop, Carsten, 2008. "Taxation, regulation and the information efficiency of the Berlin stock exchange, 1892–1913," European Review of Economic History, Cambridge University Press, vol. 12(1), pages 39-66, April.
    12. Thomas Conlon & John Cotter & Ramazan Gençay, 2015. "Long-run international diversification," Working Papers 201502, Geary Institute, University College Dublin.
    13. B. M. Burton & A. A. Lonie & D. M. Power, 2000. "The impact of corporate growth opportunities on the market response to new equity announcements," Applied Financial Economics, Taylor & Francis Journals, vol. 10(1), pages 27-36.
    14. Baltussen, Guido & van Bekkum, Sjoerd & Da, Zhi, 2019. "Indexing and stock market serial dependence around the world," Journal of Financial Economics, Elsevier, vol. 132(1), pages 26-48.
    15. Naval K. Modani & Philip L. Cooley & Rodney L. Roenfeldt, 1983. "Stability Of Market Risk Surrogates," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 6(1), pages 33-40, March.
    16. Beer, Francisca Marie, 1997. "Estimation of risk on the Brussels Stock Exchange: Methodological issues and empirical results," Global Finance Journal, Elsevier, vol. 8(1), pages 83-94.
    17. Gabriel A. Hawawini & Ashok Vora, 1982. "Investment Horizon, Diversification, And The Efficiency Of Alternative Beta Forecasts," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 5(1), pages 1-15, March.

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