Probability for Finance
by Patrick Roger
Publisher: BookBoon 2010
Number of pages: 115
The book is intended to be a technical support for students in finance. From the table of contents: Probability spaces and random variables; Moments of a random variable; Usual probability distributions in financial models; Conditional expectations and Limit theorems.
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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.
by Henk van Elst - arXiv
These lecture notes provide a self-contained introduction to the mathematical methods required in a Bachelor degree programme in Business, Economics, or Management. A special focus is set on applications in quantitative economical modelling.
by Bernt Arne Ødegaard
Useful examples and algorithms for people working within the field of finance. Typical examples are option/derivatives pricing, term structure calculations, mean variance analysis. The author made C++ subroutines that implements common algorithms.
by P. Frantz, R. Payne, J. Favilukis - The London School of Economics and Political Science
This is an extract from a subject guide for an undergraduate course in Economics, Management, Finance and the Social Sciences. It aims to give a general background to further academic or practical work in finance or accounting after graduation.