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Numerical approximation of hybrid Poisson-jump Ait-Sahalia-type interest rate model with delay

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  • Emmanuel Coffie

Abstract

While the original Ait-Sahalia interest rate model has been found considerable use as a model for describing time series evolution of interest rates, it may not possess adequate specifications to explain responses of interest rates to empirical phenomena such as volatility 'skews' and 'smiles', jump behaviour, market regulatory lapses, economic crisis, financial clashes, political instability, among others collectively. The aim of this paper is to propose a modified version of this model by incorporating additional features to collectively describe these empirical phenomena adequately. Moreover, due to lack of a closed-form solution to the proposed model, we employ several new truncated EM techniques to examine this model and justify the scheme within Monte Carlo framework to compute expected payoffs of some financial quantities such as a bond and a barrier option.

Suggested Citation

  • Emmanuel Coffie, 2021. "Numerical approximation of hybrid Poisson-jump Ait-Sahalia-type interest rate model with delay," Papers 2107.03712, arXiv.org, revised Jul 2021.
  • Handle: RePEc:arx:papers:2107.03712
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    References listed on IDEAS

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    1. Ait-Sahalia, Yacine, 1996. "Testing Continuous-Time Models of the Spot Interest Rate," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 385-426.
    2. S. G. Kou, 2002. "A Jump-Diffusion Model for Option Pricing," Management Science, INFORMS, vol. 48(8), pages 1086-1101, August.
    3. Bing-Huei Lin & Shih-Kuo Yeh, 1999. "Junp-Diffusion Interest Rate Process: An Empirical Examination," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(7&8), pages 967-995.
    4. Merton, Robert C., 1976. "Option pricing when underlying stock returns are discontinuous," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 125-144.
    5. Emmanuel Coffie, 2021. "Delay stochastic interest rate model with jump and strong convergence in Monte Carlo simulations," Papers 2103.07651, arXiv.org, revised Jul 2021.
    6. Nikita Ratanov, 2016. "Option Pricing Under Jump-Diffusion Processes with Regime Switching," Methodology and Computing in Applied Probability, Springer, vol. 18(3), pages 829-845, September.
    7. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    8. Bing‐Huei Lin & Shih‐Kuo Yeh, 1999. "Junp‐Diffusion Interest Rate Process: An Empirical Examination," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(7‐8), pages 967-995, September.
    9. Hamilton, James D., 1988. "Rational-expectations econometric analysis of changes in regime : An investigation of the term structure of interest rates," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 385-423.
    10. Dung, Nguyen Tien, 2016. "Tail probabilities of solutions to a generalized Ait-Sahalia interest rate model," Statistics & Probability Letters, Elsevier, vol. 112(C), pages 98-104.
    11. Bollen, Nicolas P. B. & Gray, Stephen F. & Whaley, Robert E., 2000. "Regime switching in foreign exchange rates: Evidence from currency option prices," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 239-276.
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