EconPapers    
Economics at your fingertips  
 

A Mellin Transform Approach to the Pricing of Options with Default Risk

Sun-Yong Choi, Sotheara Veng, Jeong-Hoon Kim and Ji-Hun Yoon ()
Additional contact information
Sun-Yong Choi: Gachon University
Sotheara Veng: Royal University of Phnom Penh
Jeong-Hoon Kim: Yonsei University
Ji-Hun Yoon: Pusan National University

Computational Economics, 2022, vol. 59, issue 3, No 8, 1113-1134

Abstract: Abstract The stochastic elasticity of variance model introduced by Kim et al. (Appl Stoch Models Bus Ind 30(6):753–765, 2014) is a useful model for forecasting extraordinary volatility behavior which would take place in a financial crisis and high volatility of a market could be linked to default risk of option contracts. So, it is natural to study the pricing of options with default risk under the stochastic elasticity of variance. Based on a framework with two separate scales that could minimize the number of necessary parameters for calibration but reflect the essential characteristics of the underlying asset and the firm value of the option writer, we obtain a closed form approximation formula for the option price via double Mellin transform with singular perturbation. Our formula is explicitly expressed as the Black–Scholes formula plus correction terms. The correction terms are given by the simple derivatives of the Black–Scholes solution so that the model calibration can be done very fast and effectively.

Keywords: Mellin transform; Stochastic elasticity of variance; Option; Default risk (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s10614-021-10121-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:kap:compec:v:59:y:2022:i:3:d:10.1007_s10614-021-10121-w

Ordering information: This journal article can be ordered from
http://www.springer. ... ry/journal/10614/PS2

DOI: 10.1007/s10614-021-10121-w

Access Statistics for this article

Computational Economics is currently edited by Hans Amman

More articles in Computational Economics from Springer, Society for Computational Economics Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:kap:compec:v:59:y:2022:i:3:d:10.1007_s10614-021-10121-w