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 Sharon Kioko, Justin Marlowe - The Rebus Foundation
This is a new generation textbook for financial management in the public sector. It offers a thorough, applied, and concise introduction to the essential financial concepts and analytical tools that today's effective public servants need to know.
by Sandy Hager - University of California Press
This book is the first comprehensive historical analysis of public debt ownership in the United States. It reveals that ownership of federal bonds has been increasingly concentrated in the hands of the 1 percent over the last three decades.
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 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.