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Functional Forms and the Capital Asset Pricing Model

Published online by Cambridge University Press:  06 April 2009

Bill McDonald
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Extract

The traditional Capital Asset Pricing Model (CAPM) provides a foundation for the estimation of systematic risk that has been applied extensively in studies of investment performance, market efficiency, predictive models, and capital budgeting, to name only a few. Lee [10] considered a special case of nonlinearities occurring in the estimation of systematic risk within the context of the investment horizon problem. His findings, based on a limited sample, provided significant methodological implications for the estimation process and have received wide readership through republication of the study in a readings text [6].

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 18 , Issue 3 , September 1983 , pp. 319 - 329
Copyright
Copyright © School of Business Administration, University of Washington 1983

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References

[1]Bey, Roger P., and Pinches, George E.. “Additional Evidence of Heteroscedasticity in the Market Model.” Journal of Financial and Quantitative Analysis, Vol. 15 (06 1980), pp. 299–322.CrossRefGoogle Scholar
[2]Box, G. E. P., and Cox, D. R.. “An Analysis of Transformations.” Journal of the Royal Statistical Society, series B, Vol. 26 (04 1964), pp. 211–243.Google Scholar
[3]Cheng, P. L., and Deets, M. K.. “Systematic Risk and the Horizon Problem.” Journal of Financial and Quantitative Analysis, Vol. 8 (03 1973), pp. 299–316.CrossRefGoogle Scholar
[4]Fabozzi, F.; Francis, J.; and Lee, C. F.. “Generalized Functional Form for Mutual Fund Returns.” Journal of Financial and Quantitative Analysis, Vol. 15 (12 1980), pp. 1107–1119.CrossRefGoogle Scholar
[5]Ferguson, C. E.The Neoclassical Theory of Production and Distribution. London: Cambridge Press (1969).CrossRefGoogle Scholar
[6]Francis, J. C; Farrar, D. E.; and Lee, C. F.. Readings in Investments. New York: McGraw-Hill (1980).Google Scholar
[7]Gemmill, G. “Using the Box-Cox Form for Estimating Demand: A Comment.” The Review of Economics and Statistics, Vol. 62 (02 1980), pp. 147–148.CrossRefGoogle Scholar
[8]Jensen, M. C. “Risk, the Pricing of Capital Assets, and the Evaluation of Investment Portfolios.” Journal of Business, Vol. 42 (04 1969), pp. 167–247.CrossRefGoogle Scholar
[9]Kmenta, J.Elements of Econometrics. New York: Macmillan Publishing Co. (1971).Google Scholar
[10]Lee, C. F. “Investment Horizon and the Functional Form of the Capital Asset Pricing Model.” The Review of Economics and Statistics, Vol. 58 (08 1976), pp. 356–363.CrossRefGoogle Scholar
[11]Lee, C. F. “Functional Form, Skewness Effect, and the Risk Return Relationship.” Journal of Financial and Quantitative Analysis, Vol. 12 (03 1977), pp. 55–72.CrossRefGoogle Scholar
[12]Levy, H. “Portfolio Performance and the Investment Horizon.” Management Science, Vol. 18 (08 1972), pp. B645–653.CrossRefGoogle Scholar
[13]Reinganum, M. R. “A Direct Test of Roll's Conjecture on the Firm Size Effect.” Journal of Finance, Vol. 37 (03 1982), pp. 27–35.CrossRefGoogle Scholar
[14]Roll, R. “A Possible Explanation of the Small Firm Effect.” Working paper, University of California at Los Angeles (1980).Google Scholar
[15]Spitzer, J. “The Demand for Money, the Liquidity Trap, and Functional Forms.” International Economic Review, Vol. 17 (02 1976), pp. 220–227.CrossRefGoogle Scholar
[16]Spitzer, J. “A Monte Carlo Investigation of the Box-Cox Transformation in Small Samples.” Journal of the American Statistical Association, Vol. 73 (09 1978), pp. 488–495.Google Scholar
[17]Zarembka, P.Frontiers in Econometrics. New York: Academic Press (1974).Google Scholar