確率解析の金融への応用<br>Stochastic Analysis with Financial Applications : Hong Kong 2009 (Progress in Probability) 〈Vol. 65〉

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確率解析の金融への応用
Stochastic Analysis with Financial Applications : Hong Kong 2009 (Progress in Probability) 〈Vol. 65〉

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  • 製本 Hardcover:ハードカバー版/ページ数 429 p.
  • 商品コード 9783034800969

Full Description

Stochastic analysis has a variety of applications to biological systems as well as physical and engineering problems, and its applications to finance and insurance have bloomed exponentially in recent times.

Contents

Part I: Stochastic Analysis.- Dirichlet forms for Poisson measures and Levy processes: the lent particle method.- Backward stochastic difference equations with finite states.- On a forward-backward stochastic system associated to the Burgers equation.- Quantifying model uncertainties in complex systems.- On the estimate for commutators in DiPerna-Lions theory.- Approximation theorem for stochastic differential equations driven by G-Brownian motion.- Stochastic flows for nonlinear SPDEs driven by linear multiplicative space-time white noises.- Optimal stopping problem associated with jump-diffusion processes.- A review of recent results on approximation of solutions of stochastic differential equations.- Strong consistency of Bayesian estimator under discrete observations and unknown transition density.- Stability of a nonlinear equation related to a spatially-inhomogeneous branching process.- Exponentially stable stationary solutions for delay stochastic evolution equations.- Robust stochastic control and equivalent martingale measures.- Multivalued stochastic differential questions driven by point processes.- Logarithmic derivatives of densities for jump processes.- Part II: Financial Applications.- Convertible bonds in a defaultable diffusion model.- A geometric approach to option pricing with transaction costs in discrete models.- Completeness and hedging in a Levy bond market.- Asymptotically efficient discrete hedging.- Estimating joint default probability by efficient importance sampling with applications from bottom up.- Market models of forward CDS spreads.- Optimal threshold dividend strategies under the compound Poisson model with regime switching.

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