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Stability of Regime-Switching Jump Diffusions
SIAM Journal on Control and Optimization, 2010Summary: This work is concerned with the stability of a class of switching jump-diffusion processes. The processes under consideration can be thought of as a number of jump-diffusion processes modulated by a random switching device. The motivation of our study stems from a wide range of applications in communication systems, flexible manufacturing and ...
Yin, George, Xi, Fubao
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Exact Simulation Problems for Jump-Diffusions
Methodology and Computing in Applied Probability, 2013zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gonçalves, Flávio B. +1 more
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2019
In this chapter we introduce jump-diffusion processes and provide a theoretical framework that justifies the nonparametric (data-based) extraction of the parameters and functions controlling the arrival of a jump and the distribution of the jump size from the estimated conditional Kramers–Moyal moments. The method and the results are applicable to both
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In this chapter we introduce jump-diffusion processes and provide a theoretical framework that justifies the nonparametric (data-based) extraction of the parameters and functions controlling the arrival of a jump and the distribution of the jump size from the estimated conditional Kramers–Moyal moments. The method and the results are applicable to both
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Local -estimation for jump-diffusion processes
Statistics & Probability Letters, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Yunyan +2 more
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Neural Conformal Inference for jump diffusion processes
Journal of EconometricszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hyeong Jin Hyun, Xiao Wang
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Optimal Stopping of Jump Diffusions
2019Fix an open set \(\mathcal S\subset \mathbb {R}^k\) (the solvency region ) and let Y(t) be a jump diffusion in \(\mathbb {R}^k\) given by \( \mathrm{d}Y(t)=b(Y(t))\mathrm{d}t+\sigma (Y(t))\mathrm{d}B(t) +\int _{\mathbb {R}^\ell } \!\gamma (Y(t^-), z) \bar{N}(\mathrm{d}t,\mathrm{d}z),\quad Y(0)=y\!\in \!\mathbb {R}^\ell , \) where \(b:\mathbb {R}^k ...
Bernt Øksendal, Agnès Sulem
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General Jump-Diffusion Setting [PDF]
In the preceding chapter we showed that in a model with Gaussian diffusion factors the asset allocation problem reduces, via the change of measure technique, to a controlled diffusion problem in the factor process, even though there are jumps in the asset price model. The problem can be handled by classical methods of stochastic control, and the result
Mark H. A. Davis, Sébastien Lleo
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Jump-diffusion international asset allocation
Mathematics and Financial Economics, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Variation in bridgmanite grain size accounts for the mid-mantle viscosity jump
Nature, 2023Hongzhan Fei +2 more
exaly

