MESTRE, Roman and TERRAZA, Michel (2017): Analyse Multidimensionnelle Temps-Fréquence du MEDAF.
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Abstract
The CAPM theory provides a measure of the sensitivity of an asset to the market called the systematic risk. The Beta of equity is estimated by its market line. According to the OLS hypothesis, it is stable over time but this is not empirically verified. Many studies are in favour with this fact (Unstable Beta), and more particularly the Beta dispersion according to the frequencies which is related to the heterogeneous behaviour of agents. We can calculate the coherence and the phase between the stock's returns and those of the market over time using the wavelets method and it is also possible to visualize it. In order to confirm the correctness of the methodology, we use three French equities with different Betas (AXA, LVMH and Orange) for the period from 2005-2015 including the crisis. We show that the wavelets coherence, associated with the phase, improve our understanding and the classification of equities according to there characteristics. Our study reveal the contagion and interdependence phenomenons between the stocks and the market. The contagion effects (from the market to the stock) is principally located on the High-Frequencies whereas the interdependence effect is located on the Low-Frequencies (Long-run investment).The link between beta and coherence-phase can help the investors to choose more efficiently the time they should invest.
Item Type: | MPRA Paper |
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Original Title: | Analyse Multidimensionnelle Temps-Fréquence du MEDAF |
English Title: | MULTIDIMENSIONAL TIME-FREQUENCY ANALYSIS OF THE CAPM |
Language: | French |
Keywords: | Wavelets; Coherence; CAPM; Co-Movement |
Subjects: | C - Mathematical and Quantitative Methods > C4 - Econometric and Statistical Methods: Special Topics > C49 - Other C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C58 - Financial Econometrics G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice ; Investment Decisions |
Item ID: | 86330 |
Depositing User: | Roman MESTRE |
Date Deposited: | 23 Apr 2018 13:25 |
Last Modified: | 02 Oct 2019 17:13 |
References: | Auth C., Continuous Wavelet Transform and Wavelet Coherence-Implementation and Application to the Diversiffication Analysis of Hedge Funds Returns, 2013. Black F. and Jensen M. and Scholes M., The Capital Asset Pricing Model : Some Empirical Test ; Studies in the Theory of Capital Markets, M. Jensen ed., New York : Praeger Publishers, 1972, pp 79-121. Daubechies I., Ten lectures on wavelets, Conference Series of Applied mathematics in Philadelphia, Society for industrial and applied mathematics, 1992. Grossmann A. and Morlet J., Decomposition of Hardy functions into square integrable wavelets of constant shape, SIAM Journal on mathematical analysis, vol 15, issue 4, 1984, pp 723-736. Fama E. and French K., The Cross-Section of Expected Stock Returns , Journal of Finance, vol 47, issue 2, 1992, pp 427-465. Farge M., Wavelets transforms and their applications to turbulence, Annual Review of fluid Mechanics, vol 47, issue 2, 1992, pp 427-465. Gençay R. and Selçuk F. and Whitcher B., Multiscale systematic risk, Journal of internationnal Money and Finance, vol 24, 2005, pp 55-70. Lau K.M Weng H., Climate Signal detection using Wavelet transform : How to make a time series sing., Bulletin of the American Meteorological Society, vol 76, issue 12 1995, pp 2391-2402. Mallat S., A Theory for Multiresolution Signal Decomposition : The Wavelet Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 11, issue 7, july 1989. Mallat S., Une exploration des signaux en ondelettes, Ecole polytechnique, 2009. Mallat S., Wavelet tour of signal processing : the sparse way, Academic Press, 2009. Mélard G., I ntroduction à l'analyse des séries temporelle et à la prévision , Revue MODULAD, 2006. Mélard G., Examples of the evolutionary spectrum theory, Journal of time series analysis, vol 6, issue 2, 1985, pp 81-90. Mestre R. and Terraza M., Time-frequencies analysis of CAPM-Application to the CAC 40, MIC Conference "Managing the global economy", Trevise, Italy, 2017. Meyer Y., Ja_ard S.,Rioul O., L'analyse par ondelettes, 1986. Sharpe W. , Capital Asset Prices : a Theory of Market Equilibrium under risk, Journal of Finance, Canberra. ed. Western Australia : Modelling and Simulation Society of Australia and New Zealand Inc. , vol 19, issue 3, Sept 1964, pp 425-442. Torrence C. Compo G.P., A pratical guide to wavelet analysis, Bulletin of the American Meteorological Society, vol 79, issue 1, 1998, pp 61-78. Torrence C. Webster P.J., I nterdecadal Changes in the ENSO-Monsoon System, Journal of Climate, vol 12, 1999, pp 2679-2690. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/86330 |