Chinese Quarterly Journal of Mathematics ›› 2017, Vol. 32 ›› Issue (4): 395-406.doi: 10.13371/j.cnki.chin.q.j.m.2017.04.006

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Recover Implied Volatility in Short-term Interest Rate Model

  

  1. 1. School of Mathematics and Statistics, Shandong Normal University2. School of Information, Renmin University of China
  • Received:2015-07-07 Online:2017-12-30 Published:2020-10-20
  • About author:ZHAO Fang-fang(1986-), female, native of Xintai, Shandong, a lecturer of Shandong Normal University, Ph.D., engages in inverse problems and computation in ¯nance; XU Zuo-liang(1965-), male, native of Xinjin, Liaoning, a professor of Renmin University of China, Ph.D., engages in inverse problems and their applications, computation in ¯nance.
  • Supported by:
    Supported by the National Natural Science Foundation of China(11171349);

Abstract: This paper concerns an inverse problem of recovering implied volatility in shortterm interest rate model from the market prices of zero-coupon bonds. Based on linearization, an analytic solution, which is given as a power series, is derived for the direct problem.By neglecting high order terms in the power series, an integral equation about the perturbation of volatility is formulated and the Tikhonov regularization method is applied to solve the integral equation. Finally numerical experiments are given and the results show that the method is effective. 

Key words: implied volatility, inverse problem, linearization

CLC Number: