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  • 1
    Digitale Medien
    Digitale Medien
    350 Main Street , Malden , MA 02148 , USA , and 108 Cowley Road , Oxford OX4 IJF , UK . : Blackwell Publishers, Inc.
    Mathematical finance 13 (2003), S. 0 
    ISSN: 1467-9965
    Quelle: Blackwell Publishing Journal Backfiles 1879-2005
    Thema: Mathematik , Wirtschaftswissenschaften
    Notizen: In a market driven by a Lévy martingale, we consider a claim ξ. We study the problem of minimal variance hedging and we give an explicit formula for the minimal variance portfolio in terms of Malliavin derivatives. We discuss two types of stochastic (Malliavin) derivatives for ξ: one based on the chaos expansion in terms of iterated integrals with respect to the power jump processes and one based on the chaos expansion in terms of iterated integrals with respect to the Wiener process and the Poisson random measure components. We study the relation between these two expansions, the corresponding two derivatives, and the corresponding versions of the Clark-Haussmann-Ocone theorem.
    Materialart: Digitale Medien
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  • 2
    Digitale Medien
    Digitale Medien
    Springer
    Finance and stochastics 2 (1998), S. 295-310 
    ISSN: 1432-1122
    Schlagwort(e): Key words: Geometric Brownian motion, optimal stopping time, continuation region, stopping set JEL classification: D81 Mathematics Subject Classifications (1991): 60G40, 93E20, 60H10, 90A09
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik , Wirtschaftswissenschaften
    Notizen: Abstract. Let $X_1(t)$ , $\cdots$ , $X_n(t)$ be $n$ geometric Brownian motions, possibly correlated. We study the optimal stopping problem: Find a stopping time $\tau^*〈\infty$ such that \[ \sup_{\tau}{\Bbb E}^x\Big\{ X_1(\tau)-X_2(\tau)-\cdots -X_n(\tau)\Big\}={\Bbb E}^x \Big\{ X_1(\tau^*)-X_2(\tau^*)-\cdots -X_n(\tau^*)\Big\} , \] the $\sup$ being taken all over all finite stopping times $\tau$ , and ${\Bbb E}^x$ denotes the expectation when $(X_1(0), \cdots, X_n(0))=x=(x_1,\cdots, x_n)$ . For $n=2$ this problem was solved by McDonald and Siegel, but they did not state the precise conditions for their result. We give a new proof of their solution for $n=2$ using variational inequalities and we solve the $n$ -dimensional case when the parameters satisfy certain (additional) conditions.
    Materialart: Digitale Medien
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  • 3
    ISSN: 1432-1122
    Schlagwort(e): JEL classification: G12 ; Mathematics Subject Classification (1991): 60H40, 60G20
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik , Wirtschaftswissenschaften
    Notizen: Abstract. We use a white noise approach to Malliavin calculus to prove the following white noise generalization of the Clark-Haussmann-Ocone formula \[F(\omega)=E[F]+\int_0^TE[D_tF|\F_t]\diamond W(t)dt\] Here E[F] denotes the generalized expectation, $D_tF(\omega)={{dF}\over{d\omega}}$ is the (generalized) Malliavin derivative, $\diamond$ is the Wick product and W(t) is 1-dimensional Gaussian white noise. The formula holds for all $f\in{\cal G}^*\supset L^2(\mu)$ , where ${\cal G}^*$ is a space of stochastic distributions and $\mu$ is the white noise probability measure. We also establish similar results for multidimensional Gaussian white noise, for multidimensional Poissonian white noise and for combined Gaussian and Poissonian noise. Finally we give an application to mathematical finance: We compute the replicating portfolio for a European call option in a Poissonian Black & Scholes type market.
    Materialart: Digitale Medien
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  • 4
    Digitale Medien
    Digitale Medien
    Springer
    Probability theory and related fields 95 (1993), S. 391-419 
    ISSN: 1432-2064
    Schlagwort(e): 60 H 15
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Summary We give a program for solving stochastic boundary value problems involving functionals of (multiparameter) white noise. As an example we solve the stochastic Schrödinger equation {ie391-1} whereV is a positive, noisy potential. We represent the potentialV by a white noise functional and interpret the product of the two distribution valued processesV andu as a Wick productV ◊u. Such an interpretation is in accordance with the usual interpretation of a white noise product in ordinary stochastic differential equations. The solutionu will not be a generalized white noise functional but can be represented as anL 1 functional process.
    Materialart: Digitale Medien
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  • 5
    Digitale Medien
    Digitale Medien
    Springer
    Inventiones mathematicae 91 (1988), S. 273-297 
    ISSN: 1432-1297
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Summary Given a quasiregular function ϕ on an open setU in ℝ n it is shown that there exists a diffusionX t inU such that ϕ mapsX t inton-dimensional Brownian motion. The process is constructed from a Dirichlet form which can be described explicitly. This enables us to apply stochastic methods in the investigation of quasiregular mappings. Some examples of applications are given, including boundary behaviour and value distribution.
    Materialart: Digitale Medien
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  • 6
    Digitale Medien
    Digitale Medien
    Springer
    Mathematische Annalen 287 (1990), S. 1-18 
    ISSN: 1432-1807
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Materialart: Digitale Medien
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  • 7
    Digitale Medien
    Digitale Medien
    Springer
    Journal of theoretical probability 3 (1990), S. 207-226 
    ISSN: 1572-9230
    Schlagwort(e): Stochastic integral ; diffusion ; conformal martingales
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract We give necessary and sufficient conditions that a time change of ann-dimensional Ito stochastic integralX t of the form $$dX_t = u(t,\omega )dt + v(t,\omega )dB_t $$ leads to a process with the same law as a diffusionY t of the form $$dY_t = b(Y_t )dt + \sigma (Y_t )dB_t $$ where the generatorA ofY t is assumed to have a unique solution of the martingale problem. The result has applications to conformal martingales in ℂ n and harmonic morphisms.
    Materialart: Digitale Medien
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  • 8
    Digitale Medien
    Digitale Medien
    Springer
    Potential analysis 1 (1992), S. 291-306 
    ISSN: 1572-929X
    Schlagwort(e): Primary: 60H10, 60H15 ; Secondary: 81S25 ; Wick products ; stochastic differential equations ; toy Fock space
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract We develop Wick calculus over finite probability spaces and prove that there is a one-to-one correspondence between the solutions of Wick stochastic functional equations and the solutions of the deterministic functional equations obtained by ‘turning off’ the noise. We also point out some possible applications to ordinary and partial stochastic differential equations.
    Materialart: Digitale Medien
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  • 9
    Digitale Medien
    Digitale Medien
    Springer
    Acta applicandae mathematicae 63 (2000), S. 141-150 
    ISSN: 1572-9036
    Schlagwort(e): stochastic Neumann problem ; white noise analysis
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract We illustrate the use of white noise analysis in the solution of stochastic partial differential equations by explicitly solving the stochastic Neumann boundary-value problem LU(x)−c(x)U(x)=0, x∈D⊂R d ,γ(x)⋅∇U(x)=−W(x), x∈∂D, where L is a uniformly elliptic linear partial differential operator and W(x), x∈R d , is d-parameter white noise.
    Materialart: Digitale Medien
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  • 10
    Digitale Medien
    Digitale Medien
    Springer
    Arkiv för matematik 21 (1983), S. 191-203 
    ISSN: 1871-2487
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Mathematik
    Notizen: Abstract Stochastic proofs of the Beurling projection theorem and the Hall projection theorem for harmonic measure are given. Somed-dimensional versions (for alld〉1) which follow from this
    Materialart: Digitale Medien
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