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).
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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.
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