Stochastic Processes for Finance
by Patrick Roger
Publisher: BookBoon 2010
Number of pages: 104
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).
Home page url
Download or read it online for free here:
by AP Faure - Bookboon
Forwards, futures, swaps, options, hybrids and a category 'other' (credit derivatives, weather derivatives, etc.) make up the derivative markets. The word is drawn from 'derive' and means that the derivative instrument cannot exist on its own.
by Christian-Oliver Ewald - Social Science Electronic Publishing
These are the lecture notes for a course in continuous time finance. Contents: stochastic processes in continuous time, financial market theory, stochastic integration, explicit financial market models, and portfolio optimization.
by 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.
by Farida Kachapova - Bookboon
This book explains portfolio modelling in financial mathematics as a consistent mathematical theory with all steps justified. Topics include mean-variance portfolio analysis and capital market theory. The book contains many examples with solutions.