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Expiration-Day Effects - An Asian Twist

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Author Info

  • Joseph K.W. Fung

    (Hong Kong Baptist University)

  • Haynes H.M. Yung

    (Open University of Hong Kong)

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    Abstract

    This is an examination of the intraday trading activities of index stocks on the common expiration day of index derivatives. In Hong Kong, index futures and index options use an Asian-style settlement procedure. All contracts are settled against the estimated average settlement (EAS) price, which is the arithmetic average of the underlying cash index taken every five minutes on the expiration day. Trading volume and total trade count on the expiration day are found to both be higher than normal. Most important, trading intensifies in terms of both volume and frequency at times close to the five-minute time marks. Significant order imbalance and price reversal patterns are not found. That there is no systematic order imbalance pattern explains the absence of a price reversal pattern.

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    Bibliographic Info

    Paper provided by Hong Kong Institute for Monetary Research in its series Working Papers with number 012007.

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    Length: 24 pages
    Date of creation: Jan 2007
    Date of revision:
    Handle: RePEc:hkm:wpaper:012007

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    Related research

    Keywords: Asian-style settlement; index derivatives; expiration-day effects.;

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    References

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    1. Christian Schlag, 1996. "Expiration day effects of stock index derivatives in Germany," European Financial Management, European Financial Management Association, vol. 2(1), pages 69-95.
    2. Brennan, Michael J & Schwartz, Eduardo S, 1990. "Arbitrage in Stock Index Futures," The Journal of Business, University of Chicago Press, vol. 63(1), pages S7-31, January.
    3. Per Alkeback & Niclas Hagelin, 2004. "Expiration day effects of index futures and options: evidence from a market with a long settlement period," Applied Financial Economics, Taylor and Francis Journals, vol. 14(6), pages 385-396.
    4. Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-46, June.
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