Robust Portfolio Optimization and Management
кра 2007 · John Wiley & Sons
Электронная кніга
512
Старонкі
reportАцэнкі і водгукі не спраўджаны Даведацца больш
Пра гэту электронную кнігу
Praise for Robust Portfolio Optimization and Management
"In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of this masterful book. Fabozzi, Kolm, Pachamanova, and Focardi deserve high praise for producing a technically rigorous yet remarkably accessible guide to the latest advances in portfolio construction."
--Mark Kritzman, President and CEO, Windham Capital Management, LLC
"The topic of robust optimization (RO) has become 'hot' over the past several years, especially in real-world financial applications. This interest has been sparked, in part, by practitioners who implemented classical portfolio models for asset allocation without considering estimation and model robustness a part of their overall allocation methodology, and experienced poor performance. Anyone interested in these developments ought to own a copy of this book. The authors cover the recent developments of the RO area in an intuitive, easy-to-read manner, provide numerous examples, and discuss practical considerations. I highly recommend this book to finance professionals and students alike."
--John M. Mulvey, Professor of Operations Research and Financial Engineering, Princeton University
"In the half century since Harry Markowitz introduced his elegant theory for selecting portfolios, investors and scholars have extended and refined its application to a wide range of real-world problems, culminating in the contents of this masterful book. Fabozzi, Kolm, Pachamanova, and Focardi deserve high praise for producing a technically rigorous yet remarkably accessible guide to the latest advances in portfolio construction."
--Mark Kritzman, President and CEO, Windham Capital Management, LLC
"The topic of robust optimization (RO) has become 'hot' over the past several years, especially in real-world financial applications. This interest has been sparked, in part, by practitioners who implemented classical portfolio models for asset allocation without considering estimation and model robustness a part of their overall allocation methodology, and experienced poor performance. Anyone interested in these developments ought to own a copy of this book. The authors cover the recent developments of the RO area in an intuitive, easy-to-read manner, provide numerous examples, and discuss practical considerations. I highly recommend this book to finance professionals and students alike."
--John M. Mulvey, Professor of Operations Research and Financial Engineering, Princeton University
Звесткі пра аўтара
Frank J. Fabozzi, PhD, CFA, is Professor in the Practice of Finance at Yale University's School of Management and the Editor of the Journal of Portfolio Management.
Petter N. Kolm, PhD, is a graduate student in finance at the Yale School of Management and a financial consultant in New York City. He previously worked at Goldman Sachs asset management where he developed quantitative investment models and strategies.
Dessislava A. Pachamanova, PhD, is an Assistant Professor of Operations Research at?Babson College. Her experience also includes work for Goldman Sachs and WestLB, and teaching management science, probability, statistics, and financial mathematics at MIT and Princeton University.
Sergio M. Focardi is a founding partner of the Paris-based consulting firm, The Intertek Group.
Ацаніце гэту электронную кнігу
Падзяліцеся сваімі меркаваннямі.
Чытанне інфармацыb
Смартфоны і планшэты
Усталюйце праграму "Кнігі Google Play" для Android і iPad/iPhone. Яна аўтаматычна сінхранізуецца з вашым уліковым запісам і дазваляе чытаць у інтэрнэце або па-за сеткай, дзе б вы ні былі.
Ноўтбукі і камп’ютары
У вэб-браўзеры камп’ютара можна слухаць аўдыякнігі, купленыя ў Google Play.
Электронныя кнiгi i iншыя прылады
Каб чытаць на такіх прыладах для электронных кніг, як, напрыклад, Kobo, трэба спампаваць файл і перанесці яго на сваю прыладу. Выканайце падрабязныя інструкцыі, прыведзеныя ў Даведачным цэнтры, каб перанесці файлы на прылады, якія падтрымліваюцца.
