PDF Ebook Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Selecting Superior Returns and Controlling Risk (Mc
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PDF Ebook Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Selecting Superior Returns and Controlling Risk (Mc
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"This new edition of Active Portfolio Management continues the standard of excellence established in the first edition, with new and clear insights to help investment professionals."
-William E. Jacques, Partner and Chief Investment Officer, Martingale Asset Management.
"Active Portfolio Management offers investors an opportunity to better understand the balance between manager skill and portfolio risk. Both fundamental and quantitative investment managers will benefit from studying this updated edition by Grinold and Kahn."
-Scott Stewart, Portfolio Manager, Fidelity Select Equity � Discipline
Co-Manager, Fidelity Freedom � Funds.
"This Second edition will not remain on the shelf, but will be continually referenced by both novice and expert. There is a substantial expansion in both depth and breadth on the original. It clearly and concisely explains all aspects of the foundations and the latest thinking in active portfolio management."
-Eric N. Remole, Managing Director, Head of Global Structured Equity, Credit Suisse Asset Management.
Mathematically rigorous and meticulously organized, Active Portfolio Management broke new ground when it first became available to investment managers in 1994. By outlining an innovative process to uncover raw signals of asset returns, develop them into refined forecasts, then use those forecasts to construct portfolios of exceptional return and minimal risk, i.e., portfolios that consistently beat the market, this hallmark book helped thousands of investment managers. Active Portfolio Management, Second Edition, now sets the bar even higher. Like its predecessor, this volume details how to apply economics, econometrics, and operations research to solving practical investment problems, and uncovering superior profit opportunities. It outlines an active management framework that begins with a benchmark portfolio, then defines exceptional returns as they relate to that benchmark. Beyond the comprehensive treatment of the active management process covered previously, this new edition expands to cover asset allocation, long/short investing, information horizons, and other topics relevant today. It revisits a number of discussions from the first edition, shedding new light on some of today's most pressing issues, including risk, dispersion, market impact, and performance analysis, while providing empirical evidence where appropriate. The result is an updated, comprehensive set of strategic concepts and rules of thumb for guiding the process of-and increasing the profits from-active investment management.
- Sales Rank: #576288 in eBooks
- Published on: 1999-11-16
- Released on: 1999-11-16
- Format: Kindle eBook
Most helpful customer reviews
44 of 48 people found the following review helpful.
My favorite book on portfolio theory
By Scott C. Locklin
There's three basic categories of quants. Structurers, risk managers and traders. Structurers don't need this book. They should go buy Hull and be happy. Every risk manager and trader in the business needs this book. When I was first introduced to this book, I figured it was more or less only for their money management businessa manual for building Barclays Index Plus funds. That is what Grinold and Kahn do for a living, and they probably wrote the book to have something to give to dumb pupils who don't know anything. The book certainly covers some of the details and models used in money management tasks. However, this book is a lot more than that. They didn't write a book about specific investment instances that come up. They write a book which generalizes well to all fields involving information under uncertainty. They don't talk much about futures or options; this really is about equities, but if you're trading in those other markets, you still need this book.
Yes, you actually do need some calculus and linear algebra to read the book. It's written for people who understand math; it's a book on *quantitative* finance -not "seat of pants" trading. Even if you skip the mathematics (and most of the heavy stuff is kept neatly tucked away in appendices, so as not to frighten the MBAs and small children), you're likely to get something out of it: at least you'll have a vague idea of what the propeller heads in the white laboratory jackets are up to. What I find most remarkable about the book is how it rewards upon rereadings. Got a trading problem? There is probably a section in this book which relates to it. When I'm banging my head on a problem, and getting no joy from the google machine, Grinold and Kahn's book often has something which at least points me to the answer. This is a remarkable quality, as the book really was, as far as I can tell, written to help out with the kinds of tasks they face at BGI.
If you're a former physics nerd, the classic physics book it most resembles for me is the Landau & L. (amazon won't let me say the other guy's name) book on classical mechanics. The clarity and density of G&K's book very much resemble L&L. Like L&L, it can be used as a first text on this sort of thing. You may prefer to get your basics elsewhere; I liked learning mechanics from Goldstein for example, but once I knew my p's and q's, I tossed Goldstein and just read L&L when I needed professional insight. G&K is like this; theirs is the book that you'll keep around as a reference once you have a handle on the basics whether you learn the basics from them or not.
Personally, I would have liked a little more meat on non-parametric statistics, maybe some overarching Bayesian framework and some ideas on backtesting, a la bootstrap resampling, but it would probably change the tenor of the book and reduce its utility for what they do at work. Still, they'll probably read this review, and if they take requests, that's mine.
48 of 54 people found the following review helpful.
Not an easy read
By GM
This book was recommended to me as the bible of active management. I attempted reading it several times, but gave up every time. Coming from a science and engineering background, I find the exposition verbose, yet lacking a ground-up derive-from-fundamentals approach. Even in the description of CAPM, I cannot tell the assumptions from the conclusions of the theory. The book is not an easy read, but I don't think that's because the subject is inherently hard.
Update: I've found "Quantitative Equity Portfolio Management: An Active Approach to Portfolio Construction and Management" by Chincarini and Kim to be a good alternative.
Update 2: Please see Timothy Falcon Crack's response to my review. Having read his books, I really respect his opinion. He calls this book "masterpiece", and he says he ended up writing another book (Foundations for Scientific Investing) to make understanding the subject easier. You may want to check it out first.
13 of 14 people found the following review helpful.
Groundbreaking
By investingbythebooks
Academic financial text books have, to a large extent, focused on beta and the so called efficient market. Active Portfolio Management was groundbreaking when it was first published in 1994 as instead it was devoted to the practical process of generating alpha from a quantative angle. Richard Grinold and Ronald Kahn, today retired and at BlackRock respectively, share a history in academia, at BARRA and above all at the quant behemoth Barclays Global Investors where they both held leading positions while writing this book.
Even though the book is full of financial theory the approach is practical. The topic at hand is the generation of risk adjusted relative returns. The market returns are always the baseline and success is measured by the IR (the ratio of residual return to residual variance) rather than an academic Sharpe ratio. When I first read this book 10 - 12 years ago I didn't by any means find it enjoyable. It's thick, theoretical, filled with formulas and I was frankly not ready for it. Yet, over the years I find myself returning to the key concepts of the book over and over again. Out of the four parts the first lays out the authors' theories and then the latter three cover the practical work of a quant PM.
The claim to fame of the book is a concept called The Fundamental Law of Active Management that reads IR=IC*√BR. It states that there are two sources of oportunities to increase the information ratio. The first is the ability to forecast asset's residual return, measured by the information coefficient. The IC is the connection between forecasts and eventual returns, IC=2*(N1/N)-1 where N1 denotes the number of correct bets and N the total number of bets made. It's a measure of skill. Active asset management is all about forecasting. Success in forecasting doesn't only hinge on doing things right but also on doing the right thing, i.e. not only on the PMs skill but on wheather the pond he is fishing in is promissing. This is where BGIs quant signals come into play but also Warren Buffett's concept of Graham and Doddsville. The second source of IR is breadth - the number of independent active oportunities per year the PM have to use his skill on. IC is about the quality of investment opportunities while BR is about the quantity of investment opportunities through coverage of more securities or a higher frequency of opportunities. It is for example more valuable to be able to forecast the returns of 1600 stocks than 1100 stocks. To increase the IR from 0,5 to 1,0 one would need to double skill, increase breadth by a factor of four or some combination of the two. This additive value of further breadth requires investment opportunities to be totally uncorrelated (this favours an eclectic investment style). If a new opportunity is fully correlated to a previous one it adds no IR. Most opportunities fall somewhere in between.
Often the asset management process focuses excessively on the quality of bets versus the quantity. The concept of breadth emphasizes the negative secondary effects that come with placing limits on an investment process with an edge. It's not only that limiting the investment universe deducts IR, the implications are broader. Limiting yourself to being long only lowers IR. Placing restrictions on the amount of cash in the portfolio lowers IR, so does demanding sector neutrality in an equity portfolio etc. In reality you only need to have a very small edge, say a 0,52 hit ratio to create a great IR if the breadth is large - so don't constrain yourself without good cause.
The opening line of the book reads "The art of investing is evolving into the science of investing." In many ways the book was a precursor to today's world of multifactor risk factor models, exotic betas etc., i.e. the systematization of all the alpha signals that can be systemized - leaving precious little pure alpha for traditional active investors. In an interview Grinold stated "The goal is to replace heroic personalities contending in an atmosphere of greed and fear with compelling hypotheses subjected to hard data." This is an important book, but I kind of like my heroes.
This is a review by investingbythebooks.com
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