Pricing path-dependent equity and credit derivatives within a general hybrid equity-credit framework: A unified CTMC approximation approach

IF 2.3 3区 经济学 Q2 ECONOMICS
Ning Cai , Siyi Wang , Wei Zhang , Haohong Lin
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引用次数: 0

Abstract

We propose a unified closed-form approximation approach to pricing path-dependent equity and credit derivatives such as defaultable single- and double-barrier options and equity default swaps (EDSs) under jump-to-default extended exponential Lévy models with local volatilities. This rich class of hybrid equity-credit models allows for state-dependent volatilities, state-dependent default intensities, and general Lévy types with either finite or infinite activities and with either finite or infinite variations, and includes many important hybrid equity-credit models as special cases. The convergences of the closed-form approximation pricing formulas are theoretically proved, and the corresponding convergence rates are also theoretically established. Numerical results indicate that our pricing method is accurate and efficient under a wide range of hybrid equity-credit models.
在一般混合股权-信贷框架内定价路径依赖的股权和信用衍生品:统一的CTMC近似方法
我们提出了一种统一的封闭式近似方法来定价路径依赖的股票和信用衍生品,如可违约的单障碍和双障碍期权和股票违约掉期(EDSs)在跳跃到违约的扩展指数lsamevy模型下具有局部波动。这类丰富的混合股权-信贷模型允许依赖于状态的波动、依赖于状态的违约强度和具有有限或无限活动以及有限或无限变化的一般lsamvy类型,并包括许多重要的混合股权-信贷模型作为特殊情况。从理论上证明了封闭式近似定价公式的收敛性,并建立了相应的收敛率。数值结果表明,在多种股权-信贷混合模型下,该定价方法是准确有效的。
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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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