Stochastic Analysis and Applications 2007
DOI: 10.1007/978-3-540-70847-6_8
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Hedging with Options in Models with Jumps

Abstract: Abel Symposium 2005 on Stochastic analysis and applications in honor of Kiyosi Ito's 90th birthday. AbstractWe consider the problem of hedging a contingent claim, in a market where prices of traded assets can undergo jumps, by trading in the underlying asset and a set of traded options. We give a general expression for the hedging strategy which minimizes the variance of the hedging error, in terms of integral representations of the options involved. This formula is then applied to compute hedge ratios for com… Show more

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Cited by 70 publications
(53 citation statements)
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“…Future research is directed at extending the analysis by comparing the quadratic hedging strategies of Cont et al (2007) with the delta-gamma hedge and assessing the hedging error under different market conditions in terms of volatility, skewness and excess kurtosis.…”
Section: Discussionmentioning
confidence: 99%
“…Future research is directed at extending the analysis by comparing the quadratic hedging strategies of Cont et al (2007) with the delta-gamma hedge and assessing the hedging error under different market conditions in terms of volatility, skewness and excess kurtosis.…”
Section: Discussionmentioning
confidence: 99%
“…In this case, we are dealing with options on an underlying whose price can experience jumps: since jump risk will play an important role for the CPPI fund, our previous study [6] suggest that delta-hedging may not be the best choice and other hedging strategies can be more efficient.…”
Section: Discussionmentioning
confidence: 99%
“…Since the stochastic volatility y and the logarithmized asset price X are modelled as a bivariate affine process in these models, the joint conditional characteristic function can be computed by solving some generalized Riccati equations, as shown in great generality by [9]. This opens the door to explicit solutions of diverse financial problems dealing with, e.g., optimal investment (cf., e.g., [4,21,23]) and hedging of derivatives (see, e.g., [8,15,20,23]). In this paper, we introduce an estimation algorithm for the subclass of time-changed Lévy models introduced by [5].…”
Section: Introductionmentioning
confidence: 99%