EconPapers    
Economics at your fingertips  
 

Pricing catastrophe equity puts with counterparty risks under Markov-modulated, default-intensity processes

Jun-Home Chen, Yu-Min Lian and Szu-Lang Liao

The North American Journal of Economics and Finance, 2022, vol. 61, issue C

Abstract: According to the observation of the catastrophic events with regime-switching phenomena and default rate varying with economic condition, we extend the results of Chang et al. (2011) and also take the default rate varying with economic condition into consideration by using the Markov-modulated reduced-form model. In order to value options under stochastic interest rates and a default intensity environment, we employ Girsanov’s theorem to obtain two different forward measures and to derive a pricing formula. We also conduct numerical analyses using Monte Carlo simulations to illustrate the influence of the recovery rate, the time to maturity, the frequency of catastrophic events, and the effect of counterparties’ default intensity on the catastrophe equity put price.

Keywords: Catastrophe equity put; Counterparty risk; Stochastic interest rate; Forward measure; Monte Carlo simulation (search for similar items in EconPapers)
JEL-codes: C15 G12 G13 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1062940822000535
Full text for ScienceDirect subscribers only

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:eee:ecofin:v:61:y:2022:i:c:s1062940822000535

DOI: 10.1016/j.najef.2022.101699

Access Statistics for this article

The North American Journal of Economics and Finance is currently edited by Hamid Beladi

More articles in The North American Journal of Economics and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ecofin:v:61:y:2022:i:c:s1062940822000535