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Market and Economic Regulation Periodicity: A Feature that Allows Prevention and Regulation

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  • Laure Jehlen

Abstract

Problem statement: This study addressed the essential questions of non linear financial flows forecasting and prevention regarding the means of periodicity. Approach: We implemented some new computational tools to weigh up the presence of periodicity in 10 years financial price time series. The data consists of NYSE-Euronext listed corporations’ closing prices and East-Asian, North-American and European markets indexes closing prices. Results: Empirical evidence put forward that the tools allow considering the periodicity plus a forecasting side effect for the next months. The lengths of the cycles are determined for indexes and assets with strong disparity between the two categories. Conclusion: Extensively, the results open the road to determine structural changes in time series by allowing the calculation of the fundamental frequencies. It introduces some concepts from physics and discusses their potential usefulness in financial economics. This shows the way to detect financial and economic extreme events (burst of bubbles, companies’ failures, markets or sectors’ recessions) as to prevent them.

Suggested Citation

  • Laure Jehlen, 2010. "Market and Economic Regulation Periodicity: A Feature that Allows Prevention and Regulation," American Journal of Economics and Business Administration, Science Publications, vol. 2(4), pages 366-376, November.
    • Handle: RePEc:abk:jajeba:ajebasp.2010.366.376
    DOI: 10.3844/ajebasp.2010.366.376
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    References listed on IDEAS

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    1. Greene, Myron T. & Fielitz, Bruce D., 1977. "Long-term dependence in common stock returns," Journal of Financial Economics, Elsevier, vol. 4(3), pages 339-349, May.
    2. Lo, Andrew W, 1991. "Long-Term Memory in Stock Market Prices," Econometrica, Econometric Society, vol. 59(5), pages 1279-1313, September.
    3. 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..
    4. Boness, A James & Chen, Andrew H Y & Jatusipitak, Som, 1974. "Investigations of Nonstationarity in Prices," The Journal of Business, University of Chicago Press, vol. 47(4), pages 518-537, October.
    5. Benoit Mandelbrot, 2015. "The Variation of Certain Speculative Prices," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 3, pages 39-78, World Scientific Publishing Co. Pte. Ltd..
    6. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    7. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    8. M. F. M. Osborne, 1962. "Periodic Structure in the Brownian Motion of Stock Prices," Operations Research, INFORMS, vol. 10(3), pages 345-379, June.
    9. Mandelbrot, Benoit B, 1971. "When Can Price Be Arbitraged Efficiently? A Limit to the Validity of the Random Walk and Martingale Models," The Review of Economics and Statistics, MIT Press, vol. 53(3), pages 225-236, August.
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    1. Alexandros E. Milionis & Hayette Gatfaoui, 2010. "Special Issue for the 6 th International Conference on Applied Financial Economics, Samos, Greece, 2-4 July 2009," American Journal of Economics and Business Administration, Science Publications, vol. 2(4), pages 339-340, November.

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