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Traders' strategic behavior in an index options market

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  • Kyong Shik Eom
  • Sang Buhm Hahn

Abstract

We analyze traders' strategic behavior in an index options market, examining the relationships among expected duration, frequency of trades, trade size, and time to maturity using a modified ACD model. Using intraday data at‐the‐money put and call options, we obtain the following results: (1) Frequency of trades contains more information about future option price volatility than does trade size. This may result from institutional or large traders who have issued naked options using the delta‐neutral strategy to hedge those options. This also suggests that informed traders use their informational advantage little by little, rather than all at once. (2) Option volatility increases as the maturity date approaches, contradicting the prediction of the Black‐Scholes model. (3) The duration of the previous interval has a persistent effect on expected duration of the current interval. (4) For the estimation of the modified ACD model, the standardized distribution of duration is Weibull with γ > 1, not exponential. (5) The duration in the options market exhibits an inverse U‐shaped diurnal pattern, much like that of the U.S. stock market. However, unlike in the U.S. stock market, the index options duration becomes much shorter right before lunch hour (12:00 pm). © 2005 Wiley Periodicals, Inc. Jrl Fut Mark 25:105–133, 2005

Suggested Citation

  • Kyong Shik Eom & Sang Buhm Hahn, 2005. "Traders' strategic behavior in an index options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 25(2), pages 105-133, February.
  • Handle: RePEc:wly:jfutmk:v:25:y:2005:i:2:p:105-133
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    Cited by:

    1. Han, Heejoon & Kutan, Ali M. & Ryu, Doojin, 2015. "Effects of the US stock market return and volatility on the VKOSPI," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-34.
    2. Han, Heejoon & Kutan, Ali M. & Ryu, Doojin, 2015. "Modeling and predicting the market volatility index: The case of VKOSPI," Economics Discussion Papers 2015-7, Kiel Institute for the World Economy (IfW Kiel).
    3. Skander Slim & Ibrahim Tabche & Yosra Koubaa & Mohamed Osman & Andreas Karathanasopoulos, 2023. "Forecasting realized volatility of Bitcoin: The informative role of price duration," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1909-1929, November.
    4. Ping-Hung Chou & Pei-Shan Wu & Teng-Tsai Tu, 2014. "The Impact of Trader Behavior on Options Price Volatility," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(4), pages 503-516, April.

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