Cont R. (ed.) Frontiers in quantitative finance: volatility and credit risk modeling

This book presents some important financial models and shows how they can be solved numerically and/or simulated using Excel. In this sense this is a finance "cookbook"; like any cookbook, it gives recipes with a list of ingredients and instructions for making and baking. As any cook knows, a recipe is just a starting point; having followed the recipe a number of times, you can think of your own variations and make the results suit your tastes an...

Год издания: 2007 Количество страниц - 1027 The remarkable growth of financial markets over the past decades has been accompanied by an equally remarkable explosion in financial engineering, the interdisciplinary field focusing on applications of mathematical and statistical modeling and computational technology to problems in the financial services industry. The goals of financial engineering research are to develop empirically realistic stocha...

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...

Wiley, 2004, 800 pp. The Mathematics of Financial Modeling & Investment Management covers a wide range of technical topics in mathematics and finance-enabling the investment management practitioner, researcher, or student to fully understand the process of financial decision-making and its economic. Using a wealth of real-world examples, Focardi and Fabozzi simultaneously show both the mathematical techniques and the areas in finance where...

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...

M.S. Joshi, 2008. - 538 pages. An ideal introduction for those starting out as practitioners of mathematical finance, this book provides a clear understanding of the intuition behind derivatives pricing, how models are implemented, and how they are used and adapted in practice. Strengths and weaknesses of different models, e.g. Black-Scholes, stochastic volatility, jump-diffusion and variance gamma, are examined. Both the theory and the implemen...

Unlike most books on investments, financial engineering, or derivative securities, the book starts from basic ideas in finance and gradually builds up the theory. Modern Finance:A Brief History Financial Engineering and Computation Financial Markets Computer Technology Analysis of Algorithms Complexity Analysis of Algorithms Description of Algorithms Software Implementation Basic Financial Mathematics Bond Price Volatility Term Structure of Inte...

Academic Press; 2 edition (December 15, 2008), 696 страниц Язык: English ISBN-10: 0123735742 ISBN-13: 978-0123735744 Cash Flow Engineering and Forward Contracts Engineering Simple Interest Rate Derivatives Introduction to Swap Engineering Repo Market Strategies in Financial Engineering Dynamic Replication Methods and Synthetics Mechanics of Options Engineering Convexity Positions Options Engineering with Applications Pricing Tools in Fi...

The MIT Press, 2008, 1168 pp. Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. Financial Modeling bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial models with spreadsheets. Simon Benninga takes the reader step by step through each model, showing how it can be solved using Microsoft Excel. The long-awaited thir...

One mathematical and financial foundations. Basic theory of derivatives. Risk and return. Products and Markets. Derivatives. The Random Behavior of Assets. Elementary Stochastic Calculus. The Black–Scholes Model. al Differential Equations. The Black–Scholes Formulae and the ‘Greeks’. Simple Generalizations of the Black–Scholes World. Early Exercise and American Options. Probability Density Functions and First-exit times. Multi-asset Options. Ho...