Schaeffer P.V., Commodity modeling and pricing: methods for analyzing resource market behavior

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...

Springer, 1997. - 316 Pages. Financial Mathematics is an exciting, emerging field of application. The five sets of course notes in this book provide a bird's eye view of the current "state of the art" and directions of research. For graduate students it will therefore serve as an introduction to the field while reseachers will find it a compact source of reference. The reader is expected to have a good knowledge of the basic mathematical tools...

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...

Steven E. Shreve, 1997. - 347 pages. Contens: Introduction to Probability Theory Conditional Expectation Arbitrage Pricing The Markov Property Stopping Times and American Options Properties of American Derivative Securities Jensen’s Inequality Random Walks Pricing in terms of Market Probabilities: The Radon-Nikodym Theorem. Capital Asset Pricing General Random Variables Semi-Continuous Models Brownian Motion The Ito Integral Ito’s Formula...

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...

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...

John Wiley & Sons, Inc., 2002. – 304 pages. This book is designed as a graduate textbook in financial engineering. It was motivated by the need to present the main techniques used in quantitative pricing in a single source adequate for Master level students. Students are expected to have some background in algebra, elementary statistics, calculus, and elementary techniques of financial pricing, such as binomial trees and simple Monte Carlo s...

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...