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Autocorrelation in an unobservable global trend: Does it help to forecast market returns?

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  • Peresetsky, Anatoly
  • Yakubov, Ruslan

Abstract

In this paper a Kalman-filter type model is used to extract a global stochastic trend from discrete non-synchronous data on daily stock market index returns from different markets . The model allows for the autocorrelation in the global stochastic trend, which means that its increments are predictable. It does not necessarily mean the predictability of market returns, since the global trend is unobservable. The performance of the model for the forecast of market returns is explored for three markets: Japan, UK, US.

Suggested Citation

  • Peresetsky, Anatoly & Yakubov, Ruslan, 2015. "Autocorrelation in an unobservable global trend: Does it help to forecast market returns?," MPRA Paper 64579, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:64579
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    1. King, Mervyn A & Wadhwani, Sushil, 1990. "Transmission of Volatility between Stock Markets," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 5-33.
    2. Durdyev, Ruslan & Peresetsky, Anatoly, 2014. "Autocorrelation in the global stochastic trend," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 35(3), pages 39-58.
    3. Jeon, Bang Nam & Chiang, Thomas C., 1991. "A system of stock prices in world stock exchanges: Common stochastic trends for 1975-1990," Journal of Economics and Business, Elsevier, vol. 43(4), pages 329-338, November.
    4. Aoki, Masanao, 1988. "On alternative state space representations of time series models," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 595-607.
    5. Chung, Pin J. & Liu, Donald J., 1994. "Common stochastic trends in pacific rim stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 34(3), pages 241-259.
    6. repec:zbw:bofitp:2013_015 is not listed on IDEAS
    7. Lucey, Brian M. & Muckley, Cal, 2011. "Robust global stock market interdependencies," International Review of Financial Analysis, Elsevier, vol. 20(4), pages 215-224, August.
    8. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    9. Felices, Guillermo & Wieladek, Tomasz, 2012. "Are emerging market indicators of vulnerability to financial crises decoupling from global factors?," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 321-331.
    10. Cartea, Álvaro & Karyampas, Dimitrios, 2011. "Volatility and covariation of financial assets: A high-frequency analysis," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3319-3334.
    11. Lin, Wen-Ling & Engle, Robert F & Ito, Takatoshi, 1994. "Do Bulls and Bears Move across Borders? International Transmission of Stock Returns and Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 7(3), pages 507-538.
    12. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    13. Byung Yoon Bae & Dong Heon Kim, 2011. "Global and Regional Yield Curve Dynamics and Interactions: The Case of Some Asian Countries," International Economic Journal, Taylor & Francis Journals, vol. 25(4), pages 717-738, December.
    14. Kasa, Kenneth, 1992. "Common stochastic trends in international stock markets," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 95-124, February.
    15. Flad, Michael & Jung, Robert C., 2008. "A common factor analysis for the US and the German stock markets during overlapping trading hours," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 498-512, December.
    16. Choudhry, Taufiq & Lu, Lin & Peng, Ke, 2007. "Common stochastic trends among Far East stock prices: Effects of the Asian financial crisis," International Review of Financial Analysis, Elsevier, vol. 16(3), pages 242-261.
    17. Bentes, Sónia R., 2015. "On the integration of financial markets: How strong is the evidence from five international stock markets?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 429(C), pages 205-214.
    18. Mardi Dungey & Vance L Martin & Adrian R Pagan, 2000. "A multivariate latent factor decomposition of international bond yield spreads," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 697-715.
    19. repec:zbw:bofitp:2013_004 is not listed on IDEAS
    20. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    21. Loh, Lixia, 2013. "Co-movement of Asia-Pacific with European and US stock market returns: A cross-time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 29(C), pages 1-13.
    22. Rangvid, Jesper, 2001. "Increasing convergence among European stock markets?: A recursive common stochastic trends analysis," Economics Letters, Elsevier, vol. 71(3), pages 383-389, June.
    23. Phengpis, Chanwit & Apilado, Vince P., 2004. "Economic interdependence and common stochastic trends: A comparative analysis between EMU and non-EMU stock markets," International Review of Financial Analysis, Elsevier, vol. 13(3), pages 245-263.
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    Cited by:

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    2. Григорьев Р.А., 2019. "Одновременные Эффекты Несинхронных Временных Рядов: Проблемы Var-Модели," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 55(2), pages 118-129, апрель.
    3. Panagiotidis, Theodore & Stengos, Thanasis & Vravosinos, Orestis, 2019. "The effects of markets, uncertainty and search intensity on bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 220-242.
    4. Grigoryeva, Lyudmila & Ortega, Juan-Pablo & Peresetsky, Anatoly, 2018. "Volatility forecasting using global stochastic financial trends extracted from non-synchronous data," Econometrics and Statistics, Elsevier, vol. 5(C), pages 67-82.

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    More about this item

    Keywords

    financial market integration; stock market returns; state space model; Kalman filter; non-synchronous data; market returns forecast;
    All these keywords.

    JEL classification:

    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • F36 - International Economics - - International Finance - - - Financial Aspects of Economic Integration
    • F65 - International Economics - - Economic Impacts of Globalization - - - Finance
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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