No-arbitrage Approach to Pricing Credit Spread Derivatives
No-arbitrage Approach to Pricing Credit Spread Derivatives
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信用利差衍生品定价的无套利方法
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通讯作者:
Kwok
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作者:
Chi Chiu;Chu And Yue;Kuen Kwok;Kuen Yue;Kwok
No arbitrage in the case of pricing credit spread derivatives refers to determination of the time-dependent drift terms in the mean reversion stochastic processes of the instantaneous spot rate and spot spread by fitting the current term structures of default-free and defaultable bond prices. The riskless rate and the credit spread of a reference entity are taken to be correlated stochastic state variables in this pricing model. When the spot rate and spot spread both follow the Hull and White model, one can derive an analytic representation for the time-dependent drift terms and analytic price formulas for credit spread options. Algorithms for the numerical valuation of credit spread derivatives are developed, and the pricing behaviors of credit spread options are examined. C redit spread derivatives are credit rate-sensitive financial instruments designed to hedge against or capitalize on changes in the credit spread of a reference entity such as a risky bond. The credit spread of a risky bond is the difference between the current yield of the risky bond and a benchmark rate of comparable maturity. The spread represents the risk premium the market demands for holding the risky bond. Unlike default swaps, credit spread derivatives do not depend upon any specific credit event occurring. The buyer of a credit spread option pays an up-front premium, and in return the writer agrees to pay an amount should the actual spot spread breach some strike level. Alternatively, the payoff may depend on the difference between the spot spreads of two reference entities. Credit spread options may be used either to earn income from the option premium, to bet one's view on credit spread change, or to target the purchase of a reference entity on a forward basis at a favored price. By following a reduced-form approach that models the occasion of default as a point process, Jarrow, Lando, and Turnbull [1997] construct a Markov chain model for valuation of risky debt and credit derivatives that incorporates the credit ratings of a firm as an indicator of the likelihood of default. The Markov model provides the evolution of an arbitrage-free term structure of the credit spread. Problems arise in numerical implementation of the model because bonds with high credit ratings may experience no default within the sample period, so the risk premium adjustments become ill-defined as the estimated default probabilities are zero. Kijima and Komoribayashi [1998] propose a technique of risk premium …