Using the Laplace transform approach, we compute expected value and variance of the error of a hedging strategy for a contingent claim when trading in discrete time. The method applies to a fairly gen-eral class of models, including Black-Scholes, Merton’s jump-diffusion and Normal Inverse Gaussian, and to several interesting strategies, as the Black-Scholes delta, the Wilmott’s improved-delta and the lo-cally risk-minimizing strategy. The formulas obtained are valid for any fixed number of trading dates, whereas all previous results are asymptotic approximations. They can also be employed under model mispecification, to measure the influence of model risk on a hedging strategy.
In financial markets, errors in option hedging can arise from two sources. First, the option value i...
The performance of optimal strategies for hedging a claim on a non-traded asset is analyzed. The cla...
Traditional dynamic hedging strategies are based on local information (ie Delta and Gamma) of the f...
Using the Laplace transform approach, we compute the expected value and the variance of the error of...
We propose a methodology based on the Laplace transform to compute the variance of the hedging error...
We propose a methodology for evaluating the hedging errors of derivative securities due to the discr...
Wemeasure, in terms of expectation and variance, the cost of hedg-ing a contingent claim when the he...
We consider the performance of non-optimal hedging strategies in exponential Lévy models. Given that...
The first part of this thesis deals with approximations of stochastic integrals and discrete time he...
Market liquidity risk refers to the degree to which large size transactions can be carried out in a ...
Discrete time hedging produces a residual risk, namely, the tracking error. The major problem is to ...
Market liquidity risk refers to the degree to which large size transactions can be carried out in a ...
When continuous-time portfolio weights are applied to a discrete-time hedging problem, errors are li...
We consider the delta-hedging strategy for a vanilla option under the discrete hedg-ing and transact...
Traditional dynamic hedging strategies are based on local information (ie Delta and Gamma) of the fi...
In financial markets, errors in option hedging can arise from two sources. First, the option value i...
The performance of optimal strategies for hedging a claim on a non-traded asset is analyzed. The cla...
Traditional dynamic hedging strategies are based on local information (ie Delta and Gamma) of the f...
Using the Laplace transform approach, we compute the expected value and the variance of the error of...
We propose a methodology based on the Laplace transform to compute the variance of the hedging error...
We propose a methodology for evaluating the hedging errors of derivative securities due to the discr...
Wemeasure, in terms of expectation and variance, the cost of hedg-ing a contingent claim when the he...
We consider the performance of non-optimal hedging strategies in exponential Lévy models. Given that...
The first part of this thesis deals with approximations of stochastic integrals and discrete time he...
Market liquidity risk refers to the degree to which large size transactions can be carried out in a ...
Discrete time hedging produces a residual risk, namely, the tracking error. The major problem is to ...
Market liquidity risk refers to the degree to which large size transactions can be carried out in a ...
When continuous-time portfolio weights are applied to a discrete-time hedging problem, errors are li...
We consider the delta-hedging strategy for a vanilla option under the discrete hedg-ing and transact...
Traditional dynamic hedging strategies are based on local information (ie Delta and Gamma) of the fi...
In financial markets, errors in option hedging can arise from two sources. First, the option value i...
The performance of optimal strategies for hedging a claim on a non-traded asset is analyzed. The cla...
Traditional dynamic hedging strategies are based on local information (ie Delta and Gamma) of the f...