An Introduction to Business Mathematics
by Henk van Elst
Publisher: arXiv 2015
Number of pages: 87
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.
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by Patrick Roger - BookBoon
The book is intended to be a technical support for students in finance. Topics: Probability spaces and random variables; Moments of a random variable; Usual probability distributions in financial models; Conditional expectations and Limit theorems.
by Zura Kakushadze - arXiv
These are the lecture notes for an advanced Ph.D. level course, primarily focused on an introduction to stochastic calculus and derivative pricing with various stochastic computations recast in the language of path integral, which is used in physics.
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 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.