Linear Factor Models in Finance

Linear Factor Models in Finance on ScienceDirect(Opens new window)
Hardbound, 304 Pages
Published: DEC-2004
ISBN 10: 0-7506-6006-6
ISBN 13: 978-0-7506-6006-8
Imprint: BUTTERWORTH HEINEMANN


Series Editor:
Stephen Satchell, Consultant to financial institutions and Reader in Financial Econometrics at Trinity College, Cambridge, Stephen Satchell is Editor-in-Chief of the Journal of Asset Management and Derivatives, Use, Trading, and Regulation. He has edited or authored over 20 books on finance.

Edited by
John Knight, FCIBSE (Haden Young Ltd), UK

Description
The determination of the values of stocks, bonds, options, futures, and derivatives is done by the scientific process of asset pricing, which has developed dramatically in the last few years due to advances in financial theory and econometrics. This book covers the science of asset pricing by concentrating on the most widely used modelling technique called: Linear Factor Modelling. Linear Factor Models covers an important area for Quantitative Analysts/Investment Managers who are developing Quantitative Investment Strategies. Linear factor models (LFM) are part of modern investment processes that include asset valuation, portfolio theory and applications, linear factor models and applications, dynamic asset allocation strategies, portfolio performance measurement, risk management, international perspectives, and the use of derivatives. The book develops the building blocks for one of the most important theories of asset pricing - Linear Factor Modelling. Within this framework, we can include other asset pricing theories such as the Capital Asset Pricing Model (CAPM), arbitrage pricing theory and various pricing formulae for derivatives and option prices. As a bare minimum, the reader of this book must have a working knowledge of basic calculus, simple optimisation and elementary statistics. In particular, the reader must be comfortable with the algebraic manipulation of means, variances (and covariances) of linear combination(s) of random variables. Some topics may require a greater mathematical sophistication.

Included in series
Quantitative Finance

Audience:
This book is aimed at Quantitative Analysts and Investment Managers in Investment Firms and Banks. In addition the book will also appeal to those following Quantitative Finance; Quantitative Investment Strategy; Financial Engineering; Valuation and Portfolio Management; Finance Theory; and Financial Modeling courses at Masters Level.


 
Last update: 5 Nov 2011