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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