Average Reviews:
(More customer reviews)Quick fact:
1) Highly recommand this book to serious Quants.
2) Graduate lever math is required for serious reader.
3) Good reference book and good for self-study
4) Well written, easy read.
5) worth the money.
The field of quantitative techniques have developed so much in the last 10 years, but almost no book cover enough serious topics about these new directions. I had already learn a bit of the robust techniques while working, including robust estimates, robust portfolio construction, error control, bayesian estimates and others. But those are all picked up in pieces, at different times, and with much research efforts. So you can imagine my delight to see a book that covers a lot of the pieces concisely.
This book itself is very well written, occasionally misspelled math labels are easily corrected by more math inclined reader, and will not interfare with casual reading. Like many of Fabozzi books, overall organization is slightly loose, so that you can start any chapter in the book and still get pretty much decent view about that subject. But better written for quants than some of Fabozzi's early books (which are mainly used as reference books)
what is missing in this book?
just one: sometimes, reference papers or books are given even though a little more details would save serious reader a lot more time. Yes, I know, those are advance topics, still would like to see them as a serious reader. Maybe as appendix for relevent chapers.
Over all, worth every penny of it.
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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
