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Predictable Signals in Excess Returns: Evidence from Non-Gaussian State Space Models

Author

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  • Khurshid Kiani

    (Nottingham Business School)

Abstract

The present work investigates predictable components in size-based and value-weighted market portfolios excess returns from NYSE, AMEX, and NASDAQ stocks over US Treasury bills using various Gaussian and non-Gaussian versions of state space or unobserved components models. Our state space or unobserved components model improves on Conrad and Kaul (1988) by taking into account fat tails that are widely documented in the returns series. Statistical hypotheses tests show existence of predictable components in excess returns for most size-based portfolios (Cap-1 through Cap-9) even at percent level of significance. However, for value-weighted market and largest size-based portfolio (Cap-10) the hypothesis tests fail to reveal existence of any predictable component. The results for most size-based portfolios are in conformance with Conrad and Kaul (1988) except the value-weighted market excess returns as well as the largest size-based portfolio (Cap-10). Conrad and Kaul (1988) isolated time-varying expected returns in weekly size-based excess returns using the same methodology but in a Gaussian setting. However, our results on value-weighted market excess returns are in line with Bidarkota and McCulloch (2004) who investigated value-weighted market excess returns in CRSP data.

Suggested Citation

  • Khurshid Kiani, 2010. "Predictable Signals in Excess Returns: Evidence from Non-Gaussian State Space Models," Economics Bulletin, AccessEcon, vol. 30(2), pages 1217-1232.
    • Handle: RePEc:ebl:ecbull:eb-09-00187
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    References listed on IDEAS

    as
    1. Xu, Yexiao, 2004. "Small levels of predictability and large economic gains," Journal of Empirical Finance, Elsevier, vol. 11(2), pages 247-275, March.
    2. Prasad Bidarkota & J Huston Mcculloch, 2004. "Testing for persistence in stock returns with GARCH-stable shocks," Quantitative Finance, Taylor & Francis Journals, vol. 4(3), pages 256-265.
    3. Khurshid M. Kiani, 2007. "Stock Returns Predictability in Transition Economies," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 14(1), pages 93-104, May.
    4. Paresh Narayan & Arti Prasad, 2007. "Mean Reversion in Stock Prices: New Evidence from Panel Unit Root Tests for Seventeen European Countries," Economics Bulletin, AccessEcon, vol. 3(34), pages 1-6.
    5. Paresh Kumar Narayan & Seema Narayan, 2007. "Mean reversion in stock prices: new evidence from panel unit root tests," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 24(3), pages 233-244, August.
    6. Khurshid M. Kiani, 2006. "Predictability in Stock Returns in an Emerging Market: Evidence from KSE 100 Stock Price Index," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(3), pages 369-381.
    7. repec:ebl:ecbull:v:3:y:2007:i:34:p:1-6 is not listed on IDEAS
    8. Nicholas Barberis, 2000. "Investing for the Long Run when Returns Are Predictable," Journal of Finance, American Finance Association, vol. 55(1), pages 225-264, February.
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    More about this item

    Keywords

    stock return predictability unobserved components fat tails stable distributions;

    JEL classification:

    • G0 - Financial Economics - - General

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