Stochastic Processes for Finance
by Patrick Roger
Publisher: BookBoon 2010
ISBN-13: 9788776816667
Number of pages: 104
Description:
Topics: Discrete-time stochastic processes (Markov chains , Martingales); Continuous-time stochastic processes (General framework, Brownian motion); Stochastic integral and Ito's lemma (Girsanov theorem, Stochastic differential equations).
Download or read it online for free here:
Download link
(4.2MB, PDF)
Similar books
Analysis and Linear Algebra for Financeby Patrick Roger - Bookboon
These volumes present the elements of analysis and linear algebra used in financial models and in microeconomics. Functions and matrices are developed in part I and vector spaces, linear mappings and optimization methods are developed in part II.
(12098 views)
Randomness and Optimal Estimation in Data Samplingby M. Khoshnevisan, at al. - American Research Press
The purpose of this book is to postulate some theories and test them numerically. It is designed for graduates and researchers who are active in the area of estimation and data sampling applied in financial survey modeling and applied statistics.
(11696 views)
Applied Quantitative Financeby W. Härdle, T. Kleinow, G. Stahl - Springer
The book is designed for researchers who wish to develop professional skill in modern quantitative applications in finance. It presents solutions, theoretical developments and method proliferation for many practical problems in quantitative finance.
(24100 views)
Topics in Stochastic Portfolio Theoryby Alexander Vervuurt - arXiv
Stochastic Portfolio Theory is a framework in which the normative assumptions from classical financial mathematics are not made, but in which one takes a descriptive approach to studying properties of markets that follow from empirical observations.
(8888 views)