Quantitative Equity Investing

Regular price €87.99
Title
A01=Frank J. Fabozzi
A01=Petter N. Kolm
A01=Sergio M. Focardi
asset allocation
asset management
Author_Frank J. Fabozzi
Author_Petter N. Kolm
Author_Sergio M. Focardi
Bayesian statistics
Black-Litterman model
bootstrap
Category=KF
classical portfolio theory
dynamic factor models
econometrics
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_nobargain
eq_non-fiction
equity portfolio
equity portfolio strategies
estimation
factor models
financial engineering
financial model building
forecasting
managing equity portfolios
market impact
model building
momentum
optimization
portfolio models
portfolio optimization
probability
quantitative equity investing
quantitative equity management
quantitative equity portfolio strategies
quantitative strategies
random matrix theory
reversal strategies
risk management
risk modeling
robust optimization
static factor models
statistics
time series
trading strategies
transaction costs

Product details

  • ISBN 9780470262474
  • Weight: 776g
  • Dimensions: 160 x 236mm
  • Publication Date: 19 Mar 2010
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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A comprehensive look at the tools and techniques used in quantitative equity management

Some books attempt to extend portfolio theory, but the real issue today relates to the practical implementation of the theory introduced by Harry Markowitz and others who followed. The purpose of this book is to close the implementation gap by presenting state-of-the art quantitative techniques and strategies for managing equity portfolios.

Throughout these pages, Frank Fabozzi, Sergio Focardi, and Petter Kolm address the essential elements of this discipline, including financial model building, financial engineering, static and dynamic factor models, asset allocation, portfolio models, transaction costs, trading strategies, and much more. They also provide ample illustrations and thorough discussions of implementation issues facing those in the investment management business and include the necessary background material in probability, statistics, and econometrics to make the book self-contained.

  • Written by a solid author team who has extensive financial experience in this area
  • Presents state-of-the art quantitative strategies for managing equity portfolios
  • Focuses on the implementation of quantitative equity asset management
  • Outlines effective analysis, optimization methods, and risk models

In today's financial environment, you have to have the skills to analyze, optimize and manage the risk of your quantitative equity investments. This guide offers you the best information available to achieve this goal.

FRANK J. FABOZZI is Professor in the Practice of Finance and Becton Fellow at the Yale School of Management and Editor of the Journal of Portfolio Management. He is a Chartered Financial Analyst and earned a doctorate in economics from the City University of New York.

SERGIO M. FOCARDI is Professor of Finance at EDHEC Business School in Nice and a founding partner of the Paris-based consulting firm The Intertek Group. He is also a member of the Editorial Board of the Journal of Portfolio Management. Sergio holds a degree in electronic engineering from the University of Genoa and a PhD in mathematical finance from the University of Karlsruhe as well as a postgraduate degree in communications from the Galileo Ferraris Electrotechnical Institute (Turin).

PETTER N. KOLM is the Deputy Director of the Mathematics in Finance Master's Program and Clinical Associate Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University; and a founding Partner of the New York–based financial consulting firm the Heimdall Group, LLC. Previously, Petter worked in the Quantitative Strategies Group at Goldman Sachs Asset Management. He received an MS in mathematics from ETH in Zurich; an MPhil in applied mathematics from the Royal Institute of Technology in Stockholm; and a PhD in applied mathematics from Yale University.