Sökning: "jump process"
Visar resultat 11 - 15 av 46 avhandlingar innehållade orden jump process.
11. Topics in Mean-Field Control and Games for Pure Jump Processes
Sammanfattning : This thesis is the collection of four papers addressing topics in stochastic optimal control, zero-sum games, backward stochastic differential equations, Pontryagin stochastic maximum principle and relaxed stochastic optimal control.In the first two papers, we establish existence of Markov chains of mean-field type, with countable state space and unbounded jump intensities. LÄS MER
12. Calibration, Optimality and Financial Mathematics
Sammanfattning : This thesis consists of a summary and five papers, dealing with financial applications of optimal stopping, optimal control and volatility.In Paper I, we present a method to recover a time-independent piecewise constant volatility from a finite set of perpetual American put option prices. LÄS MER
13. Efficiency Enhancement Techniques for Free-Electron Lasers
Sammanfattning : The central question addressed in this thesis is how to make the free-electron laser (FEL) more efficient. In recent years, coherent diffraction imaging provides an important motivation for efficiency enhancement. This is because a more efficient FEL process enables converting a larger fraction of the electron beam's power into optical power. LÄS MER
14. Pricing of Some Path-Dependent Options on Equities and Commodities
Sammanfattning : This thesis brings together three papers about the pricing of European and Bermudan path-dependent options, and one paper about the stochastic modelling of a futures price curve. Paper one proposes a fast numerical method to compute the price of so called cliquet options with global floor, when the underlying asset follows the Bachelier-Samuelson model. LÄS MER
15. A Differentiable Approach to Stochastic Differential Equations : the Smoluchowski Limit Revisited
Sammanfattning : In this thesis we generalize results by Smoluchowski [43], Chandrasekhar[6], Kramers, and Nelson [30]. Their aim is to construct Brownian motion as a limit of stochastic processes with differentiable sample paths by exploiting a scaling limit which is a particular type of averaging studied by Papanicolao [35]. LÄS MER