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

Published online by Cambridge University Press:  06 April 2009

Extract

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.

Type
Research Article
Copyright
Copyright © School of Business Administration, University of Washington 1980

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References

REFERENCES

[1]Altman, F. I.; Jacquillat, B.; and Levasseur, M.. “Comparative Market Model Analysis: France and the United States.” Journal of Finance (12 1974), pp. 14951511.Google Scholar
[2]Bear, R. M., and Gehr, A. K.. “Association of Returns to Alternative Investment Media: The Government Bond-Common Stock Case.” Journal of Economics and Business (Fall 1975), pp. 6874.Google Scholar
[3]Fisher, L. “Some New York Stock Market Indexes.” Journal of Business (10 1963), pp. 394419.Google Scholar
[4]Hawawini, G. “The Covariance-Time Function and the Short-Term Behavior of Systematic Risk.” Salomon Brothers Center for the Study of Financial Institutions, Working Paper No. 130 (11 1977).Google Scholar
[5]Hawawini, GThe Intertemporal Cross Price Behavior of Common Stocks: Evidence and Implications.” Journal of Financial Research (Summer 1980).CrossRefGoogle Scholar
[6]Lee, Cheng F., and Morimume, Kimio. “Time Aggregation, Coefficients of Determination and Systematic Risk of the Market Model.” Financial Review (Spring 1978).CrossRefGoogle Scholar
[7]Levhari, D., and Levi, H.. “The Capital Asset Pricing Model and the Investment Horizon.” Review of Economics and Statistics (02 1977), pp. 92104.CrossRefGoogle Scholar
[8]Phillips, H. E., and Seagle, J. P.. “Data: A Mixed Blessing in Portfolio Selection?” Financial Management (Autumn 1975), pp. 5053.CrossRefGoogle Scholar
[9]Pogue, G. A., and Solnik, B. H.. “The Market Model Applied to European Common-Stock: Some Empirical Results.” Journal of Financial and Quantitative Analysis (12 1974), pp. 917944.CrossRefGoogle Scholar
[10]Scholes, M., and Williams, J.. “Estimating Betas from Nonsynchronous Data.” Journal of Financial Economics (12 1977), pp. 309327.CrossRefGoogle Scholar
[11]Schwartz, R. A., and Whitcomb, D. K.. “The Time-Variance Relationship: Evidence on Autocorrelation in Common Stock Returns.” Journal of Finance (03 1977), pp. 4155.Google Scholar
[12]Schwartz, R. A., “Evidence on the Presence and Causes of Serial Correlation in Market Model Residuals.” Journal of Financial and Quantitative Analysis (06 1977), pp. 291313.CrossRefGoogle Scholar
[13]Smith, K. V. “The Effect of Intervaling on Estimating Parameters of the Capital Asset Pricing Model.” Journal of Financial and Quantitative Analysis (06 1978), pp. 313332.CrossRefGoogle Scholar
[14]Solnik, B. H.Note on the Validity of the Random Walk for European Stock Prices.” Journal of Finance (12 1973), pp. 11511159.CrossRefGoogle Scholar
[15]Zellner, A., and Montimarquette, C.. “A Study of Some Aspects of Temporal Aggregation Problems in Economic Analysis.” The Review of Economics and Statistics (11 1971), pp. 335342.CrossRefGoogle Scholar