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China's Exchange Traded Fund: Is There a Trading Place Bias?

Author

Listed:
  • Louis T. W. Cheng

    (School of Accounting and Finance, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong)

  • Hung-Gay Fung

    (College of Business Administration, University of Missouri St. Louis, One University Plaza, St. Louis, Missouri 63121-4499, USA)

  • Yiuman Tse

    (College of Business, University of Texas–San Antonia, 501 West Durango Blvd., San Antonio, Texas 78207, USA)

Abstract

We use Granger causality tests and an EGARCH model to analyze the pricing relations in the US between two exchange traded funds, the iShares FTSE/Xinhua China 25 Index (FXI) and the S&P 500 Index Fund (IVV). Daily data indicates that Hong Kong home market basically drives the FXI returns in the US. In case of intraday analysis, the US-based IVV appears to dominate the pricing of the FXI. The evidence supports the speculative pricing hypothesis that the location of trading has stronger effects than the influence of domestic effects summarized by FXI's lagged returns.

Suggested Citation

  • Louis T. W. Cheng & Hung-Gay Fung & Yiuman Tse, 2008. "China's Exchange Traded Fund: Is There a Trading Place Bias?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(01), pages 61-74.
    • Handle: RePEc:wsi:rpbfmp:v:11:y:2008:i:01:n:s021909150800126x
    DOI: 10.1142/S021909150800126X
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    Citations

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    Cited by:

    1. Kao, Erin H. & Fung, Hung-Gay, 2012. "Intraday trading activities and volatility in round-the-clock futures markets," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 195-209.
    2. Palani-Rajan Kadapakkam & Timothy Krause & Yiuman Tse, 2015. "Exchange traded funds, size-based portfolios, and market efficiency," Review of Quantitative Finance and Accounting, Springer, vol. 45(1), pages 89-110, July.
    3. Anil Mishra, 2011. "Australia’s equity home bias and real exchange rate volatility," Review of Quantitative Finance and Accounting, Springer, vol. 37(2), pages 223-244, August.
    4. Wang, Xue & Yao, Lee J. & Fang, Victor, 2013. "Stock prices and the location of trade: Evidence from China-backed ADRs," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 677-688.
    5. Patrick Kuok-Kun Chu, 2016. "Analysis and Forecast of Tracking Performance of Hong Kong Exchange-Traded Funds: Evidence from Tracker Fund and X iShares A50," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 19(04), pages 1-26, December.
    6. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2016. "The day the index rose 11 %: a clinical study on price discovery reversal," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 79-106, January.
    7. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2016. "The day the index rose 11 %: a clinical study on price discovery reversal," Review of Quantitative Finance and Accounting, Springer, vol. 46(1), pages 79-106, January.

    More about this item

    Keywords

    Exchange traded funds; China market; Granger causality tests; EGARCH model; JEL Classification: F21; JEL Classification: F36; JEL Classification: G15;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance

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