Theory of Stochastic Processes: With Applications to Financial Mathematics and Risk Theory

Front Cover
Springer Science & Business Media, Jul 10, 2010 - Mathematics - 376 pages

Providing the necessary materials within a theoretical framework, this volume presents stochastic principles and processes, and related areas. Over 1000 exercises illustrate the concepts discussed, including modern approaches to sample paths and optimal stopping.

 

Contents

Definition of stochastic process Cylinder σalgebra
1
Characteristics of a stochastic process Mean and covariance
11
Trajectories Modifications Filtrations
21
Continuity Differentiability Integrability
33
and Poisson processes Poisson point measures
43
Gaussian processes
59
7
68
8
103
Hints
152
metrics Functional limit theorems
241
Statistics of stochastic processes
271
Stochastic processes in financial mathematics discrete time
303
Stochastic processes in financial mathematics continuous time 315
314
Basic functionals of the risk theory
327
Appendix
359
Index
371

Prediction and interpolation
129
Discrete and continuous time
137

Other editions - View all

Common terms and phrases

Bibliographic information