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In this paper, we derive a forward analytical formula for computing the expected exposure of financial derivatives. Under general assumptions about the underlying diffusion process, we give a convenient decomposition of the exposure into two terms: The first term is an intrinsic value part which...
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Financial institutions have massive computations to carry out overnight which are very demanding in terms of the consumed CPU. The challenge is to price many different products on a cluster-like architecture. We have used the Premia software to valuate the financial derivatives. In this work, we...
Persistent link: https://www.econbiz.de/10010899233
Financial institutions have massive computations to carry out overnight which are very demanding in terms of the consumed CPU. The challenge is to price many different products on a cluster-like architecture. We have used the Premia software to valuate the financial derivatives. In this work, we...
Persistent link: https://www.econbiz.de/10008513297
We consider hedging strategies against contingent claims depending on a large number of assets (typically options on an index). We introduce strategies involving a limited number of assets and give explicit formulae to characterize optimal strategies. Numerical methods to compute these formulae...
Persistent link: https://www.econbiz.de/10008521940
This paper investigates the use of multiple directions of stratification as a variance reduction technique for Monte Carlo simulations of path-dependent options driven by Gaussian vectors. The precision of the method depends on the choice of the directions of stratification and the allocation...
Persistent link: https://www.econbiz.de/10009320901
This paper is devoted to pricing American options using Monte Carlo and the Malliavin calculus. Unlike the majority of articles related to this topic, in this work we will not use localization fonctions to reduce the variance. Our method is based on expressing the conditional expectation...
Persistent link: https://www.econbiz.de/10009002569
This paper investigates the use of multiple directions of stratification as a variance reduction technique for Monte Carlo simulations of path-dependent options driven by Gaussian vectors. The precision of the method depends on the choice of the directions of stratification and the allocation...
Persistent link: https://www.econbiz.de/10008565909