Mathematical Models in Portfolio Analysis
by Farida Kachapova
Publisher: Bookboon 2013
Number of pages: 110
This book explains portfolio modelling in financial mathematics as a consistent mathematical theory with all steps justified. The topics include mean-variance portfolio analysis and capital market theory. The book contains many examples with solutions. Linear algebra rather than calculus is used as foundation for portfolio analysis; this approach is more conceptual and helps to avoid tedious calculations.
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by Patrick Roger - BookBoon
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).
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 MTD Training - BookBoon
This textbook explains what all of the financial statements of a company means from a non finance point of view. Explained in easy to understand language, you will soon gain a great insight into the finance aspects of a company.
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.