MESTRE, Roman and Terraza, Michel (2017): Analyse Temps-fréquence du MEDAF –Application au CAC 40 –.
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Abstract
The market’s line estimation implicitly assumes that its parameters are constant over time. Investors, who use the beta of this line for build their portfolio, have a similar behavior whatever their investment horizon. We discuss this hypothesis in this article using the technique of wavelets providing the time evolution of different frequencies trading. We have a sample period 2005 - 2015 covering both quiet and disturbed fluctuations of the CAC 40 and its components. We verify the expected result of market's line statistical weaknesses and the high volatility of its parameters. We show that there is a market 's line which differs over time, revealing significant changes of the beta, and we use this results to group the components of the CAC according to their characteristics. The use of wavelets notably improves our results and user's choice concerning his portfolios elaboration according to the horizon of its investments. Particularly, we show that keep overall market's line, whatever the period, is equivalent to consider stock selection by the beta for a short-term horizon. So we propose a methodology based on time-frequency analysis that lead to an overview of stock characteristics useful to portfolio managers.
Item Type: | MPRA Paper |
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Original Title: | Analyse Temps-fréquence du MEDAF –Application au CAC 40 – |
English Title: | Time-Frequency Analysis of CAPM- Application to the CAC 40- |
Language: | French |
Keywords: | Market Line, Wavelets, MODWT, Frequency Betas |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics G - Financial Economics > G0 - General > G00 - General G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice ; Investment Decisions G - Financial Economics > G1 - General Financial Markets > G12 - Asset Pricing ; Trading Volume ; Bond Interest Rates |
Item ID: | 86272 |
Depositing User: | Roman MESTRE |
Date Deposited: | 19 Apr 2018 14:49 |
Last Modified: | 29 Sep 2019 09:10 |
References: | F.Black, M. Jensen, and M. Scholes 1972, The Capital Asset Pricing Model: Some Empirical Test; Studies in the Theory of Capital Markets edited by M. Jensen New York: Praeger Publishers. L. Chan, J.Lakonishok 1993, Are the Reports of Beta’s Death Premature ?, Journal of Portfolio Management, 19 (4): 51-61. I. Daubechies 1992, Ten lectures on wavelets, Conference Series of Applied mathematics ; Society for industrial and applied mathematics, Philadelphia 1992. E. Fama 1968, Risk, Return and Equilibrium: Some Clarifying Comments; Journal of Finance 23 (1): 29–40. F. Fabozzi, J-C Francis 1978, Beta as a random coefficient, Journal of Financial and Quantitative Analysis 13 (1) :101-116 E.Fama 1970, Efficient Capital Markets: a Review of Theorical and Empirical Works, Journal of Finance 25 (2) : 383-417. E. Fama and J. MacBeth 1973, Risk, Return, and Equilibrium: Empirical Tests; Journal of Political Economy 81 (3): 607–636. E. Fama and K. French 1992, The Cross-Section of Expected Stock Returns ; Journal of Finance, 47 ( 2): 427–465. R. Gençay, F. Selçuk and B. Whitcher 2005. ‘Systematic Risk and Timescales’, Quantitative Finance, 3 (2): 108-116. J. Lintner 1965, The Valuation of Risk Assets and the Selection of Risky Investments in Stock Portfolios and Capital Budgets; Review of Economics and Statistics. 47 (1) : 13–37. J. Lintner 1981, Some new perspectives on tests of CAPM and other capital asset pricing models and issues of market efficiency ; edited by Harvard Institute of Economic Research, discussion paper. S. Mallat 1989, A Theory for Multiresolution Signal Decomposition: The Wavelet Representation; IEEE Transactions on Pattern Analysis and Machine Intelligence 11 (7). S. Mallat 2009, Une exploration des signaux en ondelettes, Ecole polytechnique. S. Mallat 2009, Wavelet tour of signal processing: the sparse way, Academic Press. H. Markowitz 1952,Portfolio Selection; Journal of Finance, 7 (1) : 77-91. Y. Meyer (1990), Ondelettes et algorithmes concurrents, Actualités mathématiques Hermans éditions des sciences et des arts xii p.217-381, 1990. F. Modigliani, G. Pogue B. Solnik (1973), A test of the Capital Asset Pricing Model on european stock markets ; Version réécrite de leur présentation au premier International Congress on stock exchange, March 1972, Milan, Italy. J.Mossin (1966), Equilibrium in a Capital Asset Market; Econometrica Vol. 34, pp. 768–783. W.Newey, K.West, Kenneth (1987), A Simple, Positive Semi-definite, Heteroskedasticity and Autocorrelation Consistent Covariance Matrix. Econometrica Vol. 55 No. 3 pp 703–708. W. Sharpe (1964), Capital Asset Prices : a Theory of Market Equilibrium under risk ; Journal of Finance, Vol. 19, No. 3 (Sep., 1964), pp. 425-442. W. Sharpe, G. Cooper (1972), Risk -Return Classes of New York Stock Exchange Common Stocks: 1931 –1967, Financial Analysis Journal Vol. 28 No. 2 (March-April 1972) pp 46-54. J.Tobin (1958), Liquidity preference as behavior towards risk; The review of economics studies, Vol. 25, No. 2 (Feb 58), pp. 65-86. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/86272 |