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Time-Frequency Multi-Betas Model-An Application with Gold and Oil -

Author

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  • Roman Mestre

    (MRE, Université de Montpellier)

Abstract

The OLS Estimation of the CAPM suffers a lot of statistical issues. We develop a Time-Frequency Multi-Betas Model with Gold and Oil as supplementary source of risk and with ARMA-EGARCH errors to take into consideration some of these statistical weaknesses. We use 30 french stocks listed on the CAC40 for the daily period from 2005 to 2015. The conjugaison of the wavelets decompositions and the parameters estimates constitutes an significant asset for managers choices according to their view (shor-medium-long term). The results represent a decision support by multiplying the interpretive possibilities, In short-run (‘’Noise Trader’’ and ‘’High Frequency trader’’) 1/3 of the equities are not affected by the Oil and Gold fluctuations, and the estimated Betas parameters related to the market movements are few different compare to the Model without wavelets. At the opposite, in long-run (fundamentalists investors), Oil and Gold affect all the stocks but their impact varies according to the Beta (sensitivity to the market). As example, we highlight that Oil prices negatively affect the stocks in long-run especially the equities with a high market beta (greater than 1) as Banking Stocks. We also observe significant differences between parameters estimated with and without wavelets.

Suggested Citation

  • Roman Mestre, 2019. "Time-Frequency Multi-Betas Model-An Application with Gold and Oil -," Cahiers de recherche 19-05, Departement d'économique de l'École de gestion à l'Université de Sherbrooke.
    • Handle: RePEc:shr:wpaper:19-05
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    File URL: http://gredi.recherche.usherbrooke.ca/wpapers/GREDI-1905.pdf
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    References listed on IDEAS

    as
    1. Dirk G. Baur & Brian M. Lucey, 2010. "Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold," The Financial Review, Eastern Finance Association, vol. 45(2), pages 217-229, May.
    2. Boyer, M. Martin & Filion, Didier, 2007. "Common and fundamental factors in stock returns of Canadian oil and gas companies," Energy Economics, Elsevier, vol. 29(3), pages 428-453, May.
    3. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    4. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    5. Basu, Sanjoy, 1983. "The relationship between earnings' yield, market value and return for NYSE common stocks : Further evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 129-156, June.
    6. Baur, Dirk G. & McDermott, Thomas K., 2010. "Is gold a safe haven? International evidence," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1886-1898, August.
    7. Basher, Syed A. & Sadorsky, Perry, 2006. "Oil price risk and emerging stock markets," Global Finance Journal, Elsevier, vol. 17(2), pages 224-251, December.
    8. Robert C. Merton, 2005. "Theory of rational option pricing," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 8, pages 229-288, World Scientific Publishing Co. Pte. Ltd..
    9. Peter Tufano, 1998. "The Determinants of Stock Price Exposure: Financial Engineering and the Gold Mining Industry," Journal of Finance, American Finance Association, vol. 53(3), pages 1015-1052, June.
    10. Baur, Dirk G. & McDermott, Thomas K.J., 2016. "Why is gold a safe haven?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 10(C), pages 63-71.
    11. Donald W. Jones, Paul N. Leiby and Inja K. Paik, 2004. "Oil Price Shocks and the Macroeconomy: What Has Been Learned Since 1996," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-32.
    12. Schwert, G William & Seguin, Paul J, 1990. "Heteroskedasticity in Stock Returns," Journal of Finance, American Finance Association, vol. 45(4), pages 1129-1155, September.
    13. Corhay, A. & Rad, A. Tourani, 1996. "Conditional heteroskedasticity adjusted market model and an event study," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(4), pages 529-538.
    14. Mongi Arfaoui & Aymen Ben Rejeb, 2017. "Oil, gold, US dollar and stock market interdependencies: a global analytical insight," European Journal of Management and Business Economics, Emerald Group Publishing Limited, vol. 26(3), pages 278-293, October.
    15. Roman Mestre & Michel Terraza, 2018. "Time-Frequency Analysis of capm: Application to the cac 40," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 16(2 (Summer), pages 141-157.
    16. Chen, Nai-Fu & Roll, Richard & Ross, Stephen A, 1986. "Economic Forces and the Stock Market," The Journal of Business, University of Chicago Press, vol. 59(3), pages 383-403, July.
    17. Fama, Eugene F & French, Kenneth R, 1996. "The CAPM Is Wanted, Dead or Alive," Journal of Finance, American Finance Association, vol. 51(5), pages 1947-1958, December.
    18. Hussain Shahzad, Syed Jawad & Raza, Naveed & Shahbaz, Muhammad & Ali, Azwadi, 2017. "Dependence of stock markets with gold and bonds under bullish and bearish market states," Resources Policy, Elsevier, vol. 52(C), pages 308-319.
    19. Roger D. Huang & Ronald W. Masulis & Hans R. Stoll, 1996. "Energy shocks and financial markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(1), pages 1-27, February.
    20. Fama, Eugene F., 1996. "Multifactor Portfolio Efficiency and Multifactor Asset Pricing," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(4), pages 441-465, December.
    21. Lee, Chien-Chiang & Zeng, Jhih-Hong, 2011. "The impact of oil price shocks on stock market activities: Asymmetric effect with quantile regression," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(9), pages 1910-1920.
    22. Bera, Anil & Bubnys, Edward & Park, Hun, 1988. "Conditional Heteroscedasticity in the Market Model and Efficient Estimates of Betas," The Financial Review, Eastern Finance Association, vol. 23(2), pages 201-214, May.
    23. Michel Terraza & Roman Mestre, 2021. "Adjusted beta based on an empirical comparison of OLS ‐CAPM and the CAPM with EGARCH errors," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3588-3598, July.
    24. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    25. Ali BENDOB & Mohamed CHIKHI & Fatma BENNACEUR, 2017. "Testing the CAPM-GARCH Models in the GCC-Wide Equity Sectors," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 5(4), pages 413-430, December.
    26. Takashi Miyazaki & Yuki Toyoshima & Shigeyuki Hamori, 2012. "Exploring the dynamic interdependence between gold and other financial markets," Economics Bulletin, AccessEcon, vol. 32(1), pages 37-50.
    27. Ali BENDOB & Mohamed CHIKHI & Fatma BENNACEUR, 2017. "Testing the CAPM-GARCH Models in the GCC-Wide Equity Sectors," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 5(4), pages 413-430.
    28. Thomas J. Fisher & Colin M. Gallagher, 2012. "New Weighted Portmanteau Statistics for Time Series Goodness of Fit Testing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(498), pages 777-787, June.
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    Keywords

    CAPM; Multi-Betas Model; Time-Frequency Analysis; MODWT; Oil; Gold; CAC40;
    All these keywords.

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