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Degree of market imperfections: evidence from four Asian index futures markets

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  • Janchung Wang

Abstract

The degree of market imperfections has important implications for the behaviour of stock index futures. This work extends the evidence regarding the degree of market imperfections in three ways. First, this work represents the first attempt to compare the market imperfections of four Asian index futures markets. As anticipated, the degrees of market imperfections are significantly higher in the emerging markets (Korea and Taiwan) compared to the developed markets (Japan and Hong Kong). Second, this work compares the relative performance of three alternative volatility estimators in estimating the degree of market imperfections: the bivariate error correction GARCH(1,1) model, the exponentially weighted moving average (EWMA) and the power EWMA. The comparison results provide support for the conclusion that among the volatility estimators examined, the bivariate error correction GARCH(1,1) model performs the best. Third, this work tests the stationarity of the degrees of market imperfections. The empirical results demonstrate that the degrees of market imperfections for all four Asian markets are stationary, suggesting that the estimates of the degrees of imperfections obtained from ex post data are useful to investors on an ex ante basis.

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  • Janchung Wang, 2008. "Degree of market imperfections: evidence from four Asian index futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 18(15), pages 1233-1246.
    • Handle: RePEc:taf:apfiec:v:18:y:2008:i:15:p:1233-1246
    DOI: 10.1080/09603100701604241
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    1. Kroner, Kenneth F. & Sultan, Jahangir, 1993. "Time-Varying Distributions and Dynamic Hedging with Foreign Currency Futures," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 535-551, December.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    4. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    5. 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.
    6. Hsinan Hsu & Janchung Wang, 2004. "Price Expectation and the Pricing of Stock Index Futures," Review of Quantitative Finance and Accounting, Springer, vol. 23(2), pages 167-184, September.
    7. Janchung Wang & Hsinan Hsu, 2006. "Degree of market imperfection and the pricing of stock index futures," Applied Financial Economics, Taylor & Francis Journals, vol. 16(3), pages 245-258.
    8. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    9. Jian Yang & Titus Awokuse, 2003. "Asset storability and hedging effectiveness in commodity futures markets," Applied Economics Letters, Taylor & Francis Journals, vol. 10(8), pages 487-491.
    10. Taylor, Mark P, 1989. "Covered Interest Arbitrage and Market Turbulence," Economic Journal, Royal Economic Society, vol. 99(396), pages 376-391, June.
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    Cited by:

    1. Lin, Xiaoqiang & Chen, Qiang & Tang, Zhenpeng, 2014. "Dynamic hedging strategy in incomplete market: Evidence from Shanghai fuel oil futures market," Economic Modelling, Elsevier, vol. 40(C), pages 81-90.
    2. Zhang, Hailiang & Sattar, Muhammad Atif & Wang, Haijun, 2024. "Uncertainty measure: As a proxy for the degree of market imperfection," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 159-171.

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