The Mathematics of Financial Modeling and Investment Management

The Mathematics of Financial Modeling and Investment Management
Author :
Publisher : John Wiley & Sons
Total Pages : 802
Release :
ISBN-10 : 9780471674238
ISBN-13 : 0471674230
Rating : 4/5 (38 Downloads)

Book Synopsis The Mathematics of Financial Modeling and Investment Management by : Sergio M. Focardi

Download or read book The Mathematics of Financial Modeling and Investment Management written by Sergio M. Focardi and published by John Wiley & Sons. This book was released on 2004-04-12 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: the 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.


The Mathematics of Financial Modeling and Investment Management Related Books

The Mathematics of Financial Modeling and Investment Management
Language: en
Pages: 802
Authors: Sergio M. Focardi
Categories: Business & Economics
Type: BOOK - Published: 2004-04-12 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

the mathematics of financial modeling & investment management The Mathematics of Financial Modeling & Investment Management covers a wide range of technical top
The Mathematics of Financial Models
Language: en
Pages: 344
Authors: Kannoo Ravindran
Categories: Business & Economics
Type: BOOK - Published: 2014-08-18 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

Learn how quantitative models can help fight client problems head-on Before financial problems can be solved, they need to be fully understood. Since in-depth q
Advanced Modelling in Mathematical Finance
Language: en
Pages: 508
Authors: Jan Kallsen
Categories: Mathematics
Type: BOOK - Published: 2016-12-01 - Publisher: Springer

DOWNLOAD EBOOK

This Festschrift resulted from a workshop on “Advanced Modelling in Mathematical Finance” held in honour of Ernst Eberlein’s 70th birthday, from 20 to 22
The Mathematics of Finance
Language: en
Pages: 274
Authors: Victor Goodman
Categories: Capital market
Type: BOOK - Published: 2009 - Publisher: American Mathematical Soc.

DOWNLOAD EBOOK

The book begins with binomial stock price models, moves on to multistage models, then to the Cox-Ross-Rubinstein option pricing process, and then to the Black-S
Mathematical Modeling And Computation In Finance: With Exercises And Python And Matlab Computer Codes
Language: en
Pages: 1310
Authors: Cornelis W Oosterlee
Categories: Business & Economics
Type: BOOK - Published: 2019-10-29 - Publisher: World Scientific

DOWNLOAD EBOOK

This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models