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Computation of second order price sensitivities in depressed markets

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  • Youssef El-Khatib
  • Abdulnasser Hatemi-J

Abstract

Risk management in financial derivative markets requires inevitably the calculation of the different price sensitivities. The literature contains an abundant amount of research works that have studied the computation of these important values. Most of these works consider the well-known Black and Scholes model where the volatility is assumed to be constant. Moreover, to our best knowledge, they compute only the first order price sensitivities. Some works that attempt to extend to markets affected by financial crisis appeared recently. However, none of these papers deal with the calculation of the price sensitivities of second order. Providing second derivatives for the underlying price sensitivities is an important issue in financial risk management because the investor can determine whether or not each source of risk is increasing at an increasing rate. In this paper, we work on the computation of second order prices sensitivities for a market under crisis. The underlying second order price sensitivities are derived explicitly. The obtained formulas are expected to improve on the accuracy of the hedging strategies during a financial crunch.

Suggested Citation

  • Youssef El-Khatib & Abdulnasser Hatemi-J, 2017. "Computation of second order price sensitivities in depressed markets," Papers 1705.02473, arXiv.org, revised Jan 2018.
  • Handle: RePEc:arx:papers:1705.02473
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    References listed on IDEAS

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    1. Robert Savit, 1989. "Nonlinearities and chaotic effects in options prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 9(6), pages 507-518, December.
    2. Savit, R., 1989. "Nonlinearities And Chaotic Effects In Options Prices," Papers 184, Columbia - Center for Futures Markets.
    3. El-Khatib, Youssef & Hatemi-J, Abdulnasser, 2013. "On the pricing and hedging of options for highly volatile periods," MPRA Paper 45272, University Library of Munich, Germany.
    4. Dibeh, Ghassan & Harmanani, Haidar M., 2007. "Option pricing during post-crash relaxation times," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 380(C), pages 357-365.
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    Cited by:

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