Baaquie B.E. Quantum Finance

Designed to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas of mathematical finance that all have an enormous impact on the way modern financial markets operate, namely: Black-Scholes’ arbitrage pricing of options and other derivative securities; Markowitz portfolio optimization theory and the Capital Asset Pricing Model; and interest...

Paris-Princeton Lectures on Mathematical Finance (Springer, 2004)(ISBN 3540229531) The Paris-Princeton Lectures in Financial Mathematics, of which this is the first volume, will, on an annual basis, publish cutting-edge research in self-contained, expository articles from outstanding - established or upcoming! - specialists. The aim is to produce a series of articles that can serve as an introductory reference for research in the field. It arise...

Department of Mathematics University of Connecticut, 2003. These are lecture notes on mathematical finance. Mathematical finance is not about predicting the price of a stock. What it is about is figuring out the price of options and derivatives. The sections of these notes can be grouped into five categories: elementary probability, the binomial asset pricing model, advanced probability, the continuous model, and term structure models.

McGraw-Hill/Irwin, 2007. - 690 pages. The Mathematics of Money: Math for Business and Personal Finance covers all the traditional topics of the business math course, but with a more algebraic focus than many of the texts currently on the market. The text develops a solid understanding of percent and interest early, then applies that foundation to other applications in business and personal finance. While it is appropriate for students of all lev...

Princeton University Press, 2009. - 416 pages. Second Edition Originally published in 2003, Mathematical Techniques in Finance has become a standard textbook for master's-level finance courses containing a significant quantitative element while also being suitable for finance PhD students. This fully revised second edition continues to offer a carefully crafted blend of numerical applications and theoretical grounding in economics, finance, and...

Prentice Hall, 2010. - 384 pages. 2nd Edition Designed for finance directors, finance managers, analysts and decision-makers, Mastering Financial Mathematics in Microsoft Excel, is a practical guide to applying Excel for solving mathematical problems. Financial mathematics can be applied more quickly and easily in Excel than any other package, there is therefore demand for a book in this field. Will improve financial managers’ abilities w...

Course Technology PTR, 2011. - 304 page. "Master Math: Business and Personal Finance Math" is a comprehensive reference guide that explains and clarifies the principles of business and personal finance math in a simple, easy-to-follow style and format. Beginning with the most fundamental topics and progressing through to the more advanced, this book helps clarify the mathematics of personal finance and business using step-by step procedures and...

(Springer, 1997)(ISBN 0387983635)(T)(S)(558s) This is the first book in the Selecta, the collected works of Benoit Mandelbrot. This volume incorporates his original contributions to finance and is a major contribution to the understanding of how speculative prices vary in time. The chapters consist of much new material prepared for this volume, as well as reprints of his classic papers. Much of this work helps to lay a foundation for evaluating...

Blackwell Publishing Limited, 1997. - 262 pages. Pliska's book lays out the fundamentals of discrete time models in a clear and concise manner. The book is mostly self contained and well supported with examples that enhance understanding. I read it as a part of my introductory Phd finance course along with Theory of Financial Decision Making by Ingersoll and Foundations for Financial Economics Huang & Litzenberger (not direct competitors) a...

BookBoon, 2010. - 115 pages. Lecture Notes from the Srasbourg Business School. This book is intented to be a technical support for students in finance. It is the reason why it is entitled "Probability for finance". Our purpose is to provide the essentials tools of probability theory useful to understand financial models. Consequently, almost all the examples illustrating probability results are taken from the fields of economics and finance. I...