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Unbiasedness Hypothesis and Efficiency Test of Thai Stock Index Futures

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  • Piyapas Tharavanij

Abstract

Theoretically, futures prices are unbiased predictors of subsequent cash prices only if a market is efficient and there is no risk premium. This research empirically tests both market efficiency hypothesis and unbiasedness of futures price hypothesis in the context of Thai stock index futures (SET50 futures). This article also investigates whether any long-run or short-run inefficiencies or pricing biases exist by identifying and estimating a risk premium. This article finds that in the long run, futures and subsequent cash prices move together and are cointegrated with one cointegrating vector. The statistical test could not reject the null hypothesis of futures unbiasedness. The results do not support the existence of a constant risk premium. The error terms are also free from autocorrelation as required by market efficiency. In the short run, this research could not detect a constant or a time-varying risk premium. This result does not support either normal backwardation hypothesis (futures price average subsequent cash price). The overall results support the unbiasedness hypothesis.

Suggested Citation

  • Piyapas Tharavanij, 2017. "Unbiasedness Hypothesis and Efficiency Test of Thai Stock Index Futures," SAGE Open, , vol. 7(2), pages 21582440177, April.
    • Handle: RePEc:sae:sagope:v:7:y:2017:i:2:p:2158244017702424
    DOI: 10.1177/2158244017702424
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    References listed on IDEAS

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    1. Corredor, Pilar & Ferrer, Elena & Santamaria, Rafael, 2015. "Sentiment-prone investors and volatility dynamics between spot and futures markets," International Review of Economics & Finance, Elsevier, vol. 35(C), pages 180-196.
    2. Lence, Sergio H., 1995. "On the optimal hedge under unbiased futures prices," Economics Letters, Elsevier, vol. 47(3-4), pages 385-388, March.
    3. Antoniou, Antonios & Holmes, Phil, 1996. "Futures Market Efficiency, the Unbiasedness Hypothesis and Variance-Bounds Tests: The Case of the FTSE-100 Futures Contract," Bulletin of Economic Research, Wiley Blackwell, vol. 48(2), pages 115-128, April.
    4. Armah, Stephen E., 2008. "Establishing the Presence of a Risk Premium in the Cocoa Futures Market: An Econometric Analysis," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6778, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Gregory Koutmos & Michael Tucker, 1996. "Temporal relationships and dynamic interactions between spot and futures stock markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(1), pages 55-69, February.
    6. Martin T. Bohl & Christian A. Salm & Michael Schuppli, 2011. "Price discovery and investor structure in stock index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(3), pages 282-306, March.
    7. Antoniou, Antonios & Koutmos, Gregory & Pericli, Andreas, 2005. "Index futures and positive feedback trading: evidence from major stock exchanges," Journal of Empirical Finance, Elsevier, vol. 12(2), pages 219-238, March.
    8. Andrew McKenzie & Matthew Holt, 2002. "Market efficiency in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1519-1532.
    9. Colin A. Carter & Sandeep Mohapatra, 2008. "How Reliable Are Hog Futures as Forecasts?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 367-378.
    10. Dimitris Kenourgios, 2005. "Testing Efficiency And The Unbiasedness Hypothesis Of The Emerging Greek Futures Market," Finance 0512015, University Library of Munich, Germany.
    11. Hou, Yang & Li, Steven, 2014. "The impact of the CSI 300 stock index futures: Positive feedback trading and autocorrelation of stock returns," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 319-337.
    12. Mahmoud Wahab & Malek Lashgari, 1993. "Price dynamics and error correction in stock index and stock index futures markets: A cointegration approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(7), pages 711-742, October.
    13. Raymond W. So & Yiuman Tse, 2004. "Price discovery in the hang seng index markets: Index, futures, and the tracker fund," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(9), pages 887-907, September.
    14. Brenner, Robin J. & Kroner, Kenneth F., 1995. "Arbitrage, Cointegration, and Testing the Unbiasedness Hypothesis in Financial Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 23-42, March.
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