Results 41 to 50 of about 211 (177)
Backward stochastic differential equations (BSDEs), Continuous filtration, Quadratic growth, Utility maximization, Portfolio constraints, 91B28, 91B16, 60H10, C60, G11,
Marie-Amélie Morlais +1 more
core +1 more source
We study the dynamics of the family of copulas {Ct}t≥0 of a pair of stochastic processes given by stochastic differential equations (SDE). We associate to it a parabolic partial differential equation (PDE). Having embedded the set of bivariate copulas in
Jaworski Piotr
doaj +1 more source
Cross hedging with stochastic correlation
Cross hedging, Incomplete markets, Correlation, Local risk minimisation, BSDE, 91G20, 60H10, 60H07, C30, G13,
Stefan Ankirchner, Gregor Heyne
core +1 more source
Functional integro‐differential stochastic evolution equations in Hilbert space
We investigate a class of abstract functional integro‐differential stochastic evolution equations in a real separable Hilbert space. Global existence results concerning mild and periodic solutions are formulated under various growth and compactness conditions.
David N. Keck, Mark A. McKibben
wiley +1 more source
Pricing options under stochastic volatility: a power series approach
Options, Stochastic volatility, SDEs, PDEs, Duhamel’s principle, 60H10, 91B24, C02, G13,
SCARLATTI S. +7 more
core +1 more source
Arbitrage-free market models for option prices: the multi-strike case
Option prices, Market model, Implied volatility, Static arbitrage, Dynamic arbitrage, Drift restrictions, Existence result, 60H10, 91B28, C60, G13,
Schweizer, Martin +3 more
core +1 more source
Periodicity in distribution. I. Discrete systems
We consider the existence of periodic in distribution solutions to the difference equations in a Banach space. A random process is called periodic in distribution if all its finite‐dimensional distributions are periodic with respect to shift of time with one period. Only averaged characteristics of a periodic process are periodic functions.
A. Ya. Dorogovtsev
wiley +1 more source
Calibration and simulation of Heston model
We calibrate Heston stochastic volatility model to real market data using several optimization techniques. We compare both global and local optimizers for different weights showing remarkable differences even for data (DAX options) from two consecutive ...
Mrázek Milan, Pospíšil Jan
doaj +1 more source
Discretizing a backward stochastic differential equation
We show a simple method to discretize Pardoux‐Peng′s nonlinear backward stochastic differential equation. This discretization scheme also gives a numerical method to solve a class of semi‐linear PDEs.
Yinnan Zhang, Weian Zheng
wiley +1 more source
This article can be considered as a continuation of Petrović and Milošević [The truncated Euler-Maruyama method for highly nonlinear neutral stochastic differential equations with time-dependent delay, Filomat 35 (2021), no.
Petrović Aleksandra M.
doaj +1 more source

