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Counting jumps: does the counting process count?

Authors :
Ballotta, Laura
Fusai, Gianluca
Marazzina, Daniele
Source :
Quantitative Finance. Nov2024, Vol. 24 Issue 11, p1621-1640. 20p.
Publication Year :
2024

Abstract

In this paper, we develop a 'jump diffusion type' financial model based on renewal processes for the discontinuous part of the risk driver, and study its ability to price options and accurately reproduce the corresponding implied volatility surfaces. In this model, the log-returns process displays finite mean and variance, and non-vanishing skewness and excess kurtosis over a long period. The proposed construction is parsimonious, and it allows for a simple and intuitive pricing formula for European vanilla options; furthermore, it offers an efficient Monte Carlo sample path generator for the pricing of exotic options. We illustrate the performance of the proposed framework using observed market data, and we study the features of the best fitting model specifications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14697688
Volume :
24
Issue :
11
Database :
Academic Search Index
Journal :
Quantitative Finance
Publication Type :
Academic Journal
Accession number :
181257446
Full Text :
https://doi.org/10.1080/14697688.2024.2357731