Read and Download eBook Full
Author: A. J. Roberts
Publisher: SIAM
Published: 2009-01-01
Total Pages: 143
ISBN-13: 0898718228
DOWNLOAD EBOOKFinancial mathematics and its calculus introduced in an accessible manner for undergraduate students. Topics covered include financial indices as stochastic processes, Ito's stochastic calculus, the Fokker-Planck Equation and extra MATLAB/SCILAB code.
Author: J. Michael Steele
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 303
ISBN-13: 1468493051
DOWNLOAD EBOOKStochastic calculus has important applications to mathematical finance. This book will appeal to practitioners and students who want an elementary introduction to these areas. From the reviews: "As the preface says, ‘This is a text with an attitude, and it is designed to reflect, wherever possible and appropriate, a prejudice for the concrete over the abstract’. This is also reflected in the style of writing which is unusually lively for a mathematics book." --ZENTRALBLATT MATH
Author: Thomas Mikosch
Publisher: World Scientific
Published: 1998
Total Pages: 230
ISBN-13: 9789810235437
DOWNLOAD EBOOKModelling with the Ito integral or stochastic differential equations has become increasingly important in various applied fields, including physics, biology, chemistry and finance. However, stochastic calculus is based on a deep mathematical theory. This book is suitable for the reader without a deep mathematical background. It gives an elementary introduction to that area of probability theory, without burdening the reader with a great deal of measure theory. Applications are taken from stochastic finance. In particular, the Black -- Scholes option pricing formula is derived. The book can serve as a text for a course on stochastic calculus for non-mathematicians or as elementary reading material for anyone who wants to learn about Ito calculus and/or stochastic finance.
Author: Paul Wilmott
Publisher: Cambridge University Press
Published: 1995-09-29
Total Pages: 338
ISBN-13: 9780521497893
DOWNLOAD EBOOKBasic option theory - Numerical methods - Further option theory - Interest rate derivative products.
Author: Martin Baxter
Publisher: Cambridge University Press
Published: 1996-09-19
Total Pages: 252
ISBN-13: 9780521552899
DOWNLOAD EBOOKA rigorous introduction to the mathematics of pricing, construction and hedging of derivative securities.
Author: Paul Malliavin
Publisher: Springer Science & Business Media
Published: 2006-02-25
Total Pages: 148
ISBN-13: 3540307990
DOWNLOAD EBOOKHighly esteemed author Topics covered are relevant and timely
Author: Sheldon M. Ross
Publisher: Cambridge University Press
Published: 2011-02-28
Total Pages: 323
ISBN-13: 1139498037
DOWNLOAD EBOOKThis textbook on the basics of option pricing is accessible to readers with limited mathematical training. It is for both professional traders and undergraduates studying the basics of finance. Assuming no prior knowledge of probability, Sheldon M. Ross offers clear, simple explanations of arbitrage, the Black-Scholes option pricing formula, and other topics such as utility functions, optimal portfolio selections, and the capital assets pricing model. Among the many new features of this third edition are new chapters on Brownian motion and geometric Brownian motion, stochastic order relations and stochastic dynamic programming, along with expanded sets of exercises and references for all the chapters.
Author: Arlie O. Petters
Publisher: Springer
Published: 2016-06-17
Total Pages: 499
ISBN-13: 1493937839
DOWNLOAD EBOOKThis textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student’s conceptual understanding and facility with applications. The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper. The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.
Author: Stanley R. Pliska
Publisher: Wiley
Published: 1997-07-07
Total Pages: 276
ISBN-13: 9781557869456
DOWNLOAD EBOOKThe purpose of this book is to provide a rigorous yet accessible introduction to the modern financial theory of security markets. The main subjects are derivatives and portfolio management. The book is intended to be used as a text by advanced undergraduates and beginning graduate students. It is also likely to be useful to practicing financial engineers, portfolio manager, and actuaries who wish to acquire a fundamental understanding of financial theory. The book makes heavy use of mathematics, but not at an advanced level. Various mathematical concepts are developed as needed, and computational examples are emphasized.
Author: Sergio M. Focardi
Publisher: John Wiley & Sons
Published: 2004-04-12
Total Pages: 802
ISBN-13: 0471674230
DOWNLOAD EBOOKthe mathematics of financial modeling & investment management 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 foundations. This comprehensive resource will introduce you to key mathematical techniques-matrix algebra, calculus, ordinary differential equations, probability theory, stochastic calculus, time series analysis, optimization-as well as show you how these techniques are successfully implemented in the world of modern finance. Special emphasis is placed on the new mathematical tools that allow a deeper understanding of financial econometrics and financial economics. Recent advances in financial econometrics, such as tools for estimating and representing the tails of the distributions, the analysis of correlation phenomena, and dimensionality reduction through factor analysis and cointegration are discussed in depth. Using a wealth of real-world examples, Focardi and Fabozzi simultaneously show both the mathematical techniques and the areas in finance where these techniques are applied. They also cover a variety of useful financial applications, such as: * Arbitrage pricing * Interest rate modeling * Derivative pricing * Credit risk modeling * Equity and bond portfolio management * Risk management * And much more Filled with in-depth insight and expert advice, The Mathematics of Financial Modeling & Investment Management clearly ties together financial theory and mathematical techniques.
