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Quantifying risks with exact analytical solutions of derivative pricing distribution

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  • Zhang, Kun
  • Liu, Jing
  • Wang, Erkang
  • Wang, Jin

Abstract

Derivative (i.e. option) pricing is essential for modern financial instrumentations. Despite of the previous efforts, the exact analytical forms of the derivative pricing distributions are still challenging to obtain. In this study, we established a quantitative framework using path integrals to obtain the exact analytical solutions of the statistical distribution for bond and bond option pricing for the Vasicek model. We discuss the importance of statistical fluctuations away from the expected option pricing characterized by the distribution tail and their associations to value at risk (VaR). The framework established here is general and can be applied to other financial derivatives for quantifying the underlying statistical distributions.

Suggested Citation

  • Zhang, Kun & Liu, Jing & Wang, Erkang & Wang, Jin, 2017. "Quantifying risks with exact analytical solutions of derivative pricing distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 757-766.
  • Handle: RePEc:eee:phsmap:v:471:y:2017:i:c:p:757-766
    DOI: 10.1016/j.physa.2016.12.044
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    References listed on IDEAS

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    Cited by:

    1. Hyong-Chol O & Tae-Song Kim & Tae-Song Choe, 2021. "Solution Representations of Solving Problems for the Black-Scholes equations and Application to the Pricing Options on Bond with Credit Risk," Papers 2109.10818, arXiv.org, revised Nov 2021.
    2. Hyong Chol O & Tae Song Kim, 2020. "Analysis on the Pricing model for a Discrete Coupon Bond with Early redemption provision by the Structural Approach," Papers 2007.01511, arXiv.org.
    3. Hyong Chol O & Dae Song Choe & Gyong-Dok Rim, 2022. "Analytical Pricing of 2 Factor Structural PDE model for a Puttable Bond with Credit Risk," Papers 2203.05719, arXiv.org.
    4. Khalique, Chaudry Masood & Motsepa, Tanki, 2018. "Lie symmetries, group-invariant solutions and conservation laws of the Vasicek pricing equation of mathematical finance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 871-879.

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