Discrete Dynamics in Nature and Society · 2018 · 25 citations · 11 references
BusinessFinanceRisk ManagementAsset PricingFinancial EconomicsRisk AnalysisBond PricingCatastrophe ModelingCatastrophe RiskDependence ModelingExtreme Value TheoryMoral HazardBond Pricing ModelsCatastrophe Bond RiskCatastrophe PricingCatastrophe Risk ModelingCatastrophe Risk PricingExtreme Value CopulasMoral Hazard AnalysisTail Risk
Catastrophe events are gaining attention due to their devastating consequences. The study aims to price multiple‑event catastrophe bonds by modeling nonlinear dependency and tail behavior using a CIR‑Copula‑POT framework. The authors employ a CIR‑Copula‑POT model with floating coupon/principal structures, estimating bond prices via Monte Carlo simulation and conducting sensitivity analysis on intensity, maturity, and dependence.
Catastrophe events are attracting increased attention because of their devastating consequences. Aimed at the nonlinear dependency and tail characteristics of different triggered indexes of multiple-event catastrophe bonds, this paper applies Copula function and the extreme value theory to multiple-event catastrophe bond pricing. At the same time, floating coupon and principal payoff structures are adopted instead of fixed coupon and principal payoff structures, to reduce moral hazard and improve bond attractiveness. Furthermore, we develop a CIR-Copula-POT bond pricing model with CIR stochastic rate and estimate flood multiple-event triggered catastrophe bond price using Monte Carlo simulation method. Finally, we implement the sensitivity analysis to show how catastrophe intensity, maturity date, and the dependence affect the prices of catastrophe bonds.
11
A Theory of the Term Structure of Interest Rates
John C. Cox, Jonathan E. Ingersoll, Stephen A. Ross · Econometrica · 1985 · 8.6K citations
Statistical Inference Using Extreme Order Statistics
James Pickands · The Annals of Statistics · 1975 · 3.6K citations