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Detecting informed activities in European-style option tradings

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  • Lyudmila A. Glik
  • Oleg L. Kritski

Abstract

We propose a mathematical procedure for finding informed trader activities in European-style options and their underlying asset. The regression model (9) with moving average component was written. Being added to it ARMA-process for log-price differences of underlying asset, the generalized model is written as Vector ARMA, stable at abs(ro)

Suggested Citation

  • Lyudmila A. Glik & Oleg L. Kritski, 2014. "Detecting informed activities in European-style option tradings," Papers 1403.3294, arXiv.org.
    • Handle: RePEc:arx:papers:1403.3294
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    References listed on IDEAS

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    1. Yi-Tsung Lee & Wei-Shao Wu & Yun Yang, 2013. "Informed Futures Trading and Price Discovery: Evidence from Taiwan Futures and Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(3), pages 219-242, September.
    2. Scholtus, Martin & van Dijk, Dick & Frijns, Bart, 2014. "Speed, algorithmic trading, and market quality around macroeconomic news announcements," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 89-105.
    3. Lepone, Andrew & Yang, Jin Young, 2013. "Informational role of market makers: The case of exchange traded CFDs," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 84-92.
    4. Hu, Jianfeng, 2014. "Does option trading convey stock price information?," Journal of Financial Economics, Elsevier, vol. 111(3), pages 625-645.
    5. Park, Young S. & Lee, Jaehyun, 2010. "Detecting insider trading: The theory and validation in Korea Exchange," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2110-2120, September.
    6. Muravyev, Dmitriy & Pearson, Neil D. & Paul Broussard, John, 2013. "Is there price discovery in equity options?," Journal of Financial Economics, Elsevier, vol. 107(2), pages 259-283.
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