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Quantitative Value, + Web Site: A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors Hardcover


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Frequently Bought Together

Quantitative Value, + Web Site: A Practitioner's Guide to Automating Intelligent Investment and Eliminating Behavioral Errors + The Manual of Ideas: The Proven Framework for Finding the Best Value Investments + The Art of Value Investing: How the World's Best Investors Beat the Market
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Product Details

  • Hardcover: 288 pages
  • Publisher: Wiley; 1 edition (December 26, 2012)
  • Language: English
  • ISBN-10: 1118328078
  • ISBN-13: 978-1118328071
  • Product Dimensions: 9.1 x 6.1 x 1.2 inches
  • Shipping Weight: 1.1 pounds (View shipping rates and policies)
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (47 customer reviews)
  • Amazon Best Sellers Rank: #60,918 in Books (See Top 100 in Books)

Editorial Reviews

Review

"Quantitative Value is a must read for those with a love of value investing and a desire to make the investment process less ad-hoc. A must read."
--Tony Tang, Ph.D., Global Macro Researcher and Portfolio Manager, AQR Capital Management

"Gray and Carlisle take you behind the curtains to build a black box based on the best value minds in finance.  They combine academia's best ideas with the ideas of Buffet, Graham, and Thorp, to develop a quant system that performs in markets both good and bad."
--Mebane Faber, Author of The Ivy Portfolio and Portfolio Manager for Cambria Investment Management

"This book is an excellent primer to quantitative investing. It combines insights from both academic luminaries and successful professional investors, and presents them in a clear, engaging manner. The authors rigorously back-test simple strategies that can be used by the individual as well as institutional investor."
--Alex Edmans Ph.D., Finance Professor at The Wharton School, University of Pennsylvania

"Quantitative Value is the new guide to Graham-and-Doddsville. Gray and Carlisle synthesize the lessons of the great value investors to systematically identify high quality value stocks while avoiding common behavioral pitfalls."
--Tadas Viskanta, Founder and Editor, Abnormal Returns; Author of Abnormal Returns: Winning Strategies from the Frontlines of the Investment Blogosphere.

"We seek to marry Ed Thorp's quantitative approach to Warren Buffett's value investment philosophy." That's the approach we take in our Value Investing class at UC Davis and Quantitative Value will become required reading for our class. The book we wish we would have written!"
--Lonnie J. Rush and Jacob L. Taylor, Managing Partners of Farnam Street Investments and Visiting Professors at UC Davis Graduate School of Management

From the Inside Flap

Legendary investment gurus Warren Buffett and Ed Thorp represent different ends of the investing spectrum: one a value investor, the other a quant. While Buffett and Thorp have conflicting philosophical approaches, they agree that the market is beatable. In Quantitative Value, Wesley Gray and Tobias Carlisle take the best aspects from the disciplines of value investing and quantitative investing and apply them to a completely unique and winning approach to stock selection. As the authors explain, the quantitative value strategy offers a superior way to invest: capture the benefits of a value investing philosophy without the behavioral errors associated with "stock picking." To demystify their innovative approach, Gray and Carlisle outline the framework for quantitative value investing, including the four key elements the investment process:
 
1) How to avoid stocks that can cause a permanent loss of capital: Learn how to uncover financial statement manipulation, fraud, and financial distress.
 
2) How to find stocks with the highest quality: Learn how to find strong economic franchises, and robust financial strength. Gray and Carlisle look at long term returns on capital and assets, free cash flow, and a variety of metrics related to margins and general financial strength.
 
3) The secret to finding deeply undervalued stocks: Does the price-to-earnings ratio find undervalued stocks better than free cash flow? Gray and Carlisle examine the historical data on over 50 valuation ratios, including some unusual metrics, rare multi-year averages, and uncommon combinations.
 
4) The five signals sent by smart money: The book uncovers the signals sent by insiders, short sellers, shareholder activists and institutional investment managers.
 
After detailing the quantitative value investment process, Gray and Carlisle conduct a historical test of the resulting quantitative value model. Their conclusions are surprising and counter-intuitive.
 
The book includes a companion website that offers a monthly-updated screening tool to find stocks using the model outlined in the book, an updated back-testing tool, and a blog about recent developments in quantitative value investing. For any investor who wants to make the most of their time in today's complex marketplace, they should look no further than Quantitative Value.

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Customer Reviews

4.6 out of 5 stars
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I highly recommend this book to individual and professional investors.
David B. Ott
The book breaths out the author's theoretical and practical experience and this writing style is very straightforward and comprehensive.
GUNTHER SEGHERS
In any case this book is a very precious contribution to the field of value investing and to quantitative valuation in particular.
David Segev

Most Helpful Customer Reviews

57 of 58 people found the following review helpful By Ant Gara on February 14, 2013
Format: Hardcover Verified Purchase
As far as I know, the only investing books to mesh quantitative investing and value investing have been "What Works on Wall Street," "The Little Book That Still Beats the Market," and "Ben Graham Was A Quant." "Quantitative Value" shares a lot in common with "What Works on Wall Street," and improves on "The Little Book." In fact, this was probably one of the best investing books I've ever read, combining the tried-and-true approach of value investing, behavioral finance, and quantitative methods to produce one very interesting piece. I really, really, REALLY wanted to give this five stars, as it is exceptional, but there were several major issues with their methodology and logic. But first, the positives.

PROs:
- Explains basic cognitive biases typically affecting investing and how behavioral finance can help improve results by methodically sticking with the Quantitative Value program.
- Completely dissects Greenblatt's "Magic Formula" (From "The Little Book That Still Beats the Market"), demonstrating which of the two formulas has contributed more to the returns, how to possibly improve on the formula, and using it as a benchmark to which the authors compare their Quantitative Value approach.
- Tests a composite price metric of EBIT/EV, EBITDA/EV, E/P, B/P, Gross Profit/EV, and FCF/EV. Interestingly, the composite score doesn't outperform the best performing single metric (EBIT/EV), which is at odds with the composite score findings in "What Works on Wall Street," which consisted of P/S, P/E, P/B, EBITDA/EV, and P/FCF. Can draw your own conclusions, but I suspect the divergence is due to O'Shaughnessy included P/S and P/FCF, rather than FCF/EV (a flawed metric discussed below) and GP/EV.
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36 of 38 people found the following review helpful By bjorn on January 25, 2013
Format: Hardcover Verified Purchase
The book is fantastic. Well written, extensive research with a clear thought process. This is likely the best value investing process I have seen.....but there is one problem....you can't actually implement it.
- The screens are extremely complex and rigorous (which is why they work so well). But you would need a pretty intense and expensive database to actually be able to implement it.
- They provide a website to do it for you (yay!). However, the website only gives you stocks with a market cap in excess of 10 Billion (large cap only), whereas all of the book backtests are for stocks with a market cap of 1.4 billion or more.

I am sure this will work to outperform the market even for large cap only, maybe even by a lot...but it is really too bad we couldn't implement the same thing they are doing in the book.

5.17.13 Update: They have updated with a blog post addressing my concern. [...]

I am using the strategy (and happy with it thus far). I think they could have been more clear in the book how to actually implement this. I am quite confident I could not replicate this if their website goes away someday (whereas it would be easy to implement something along the lines of magic formula).
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30 of 32 people found the following review helpful By Value Guy on January 9, 2013
Format: Hardcover
This informative and exceptionally well-researched book wove together many strands of investing and finance for me. Almost everyone knows who Warren Buffett is, and many are familiar with Ben Graham, the father of value investing. If you've read a number of investing (or gambling) books, you may even be familiar with Ed Thorp, who pioneered the application of statistics to making money on Wall Street. Or perhaps you've heard of Nassim Taleb's "The Black Swan," or Daniel Kahneman, who won a Nobel Prize for his work in behavioral psychology.

It takes a powerful unifying theme to demonstrate how the specialties of these diverse financial thinkers can be integrated into a single approach to investing. Wesley Gray, a finance professor with an MBA/PhD from the University of Chicago, and Tobias Carlisle, an M&A lawyer with a Wall Street background, combine a compelling history with voluminous academic research to demonstrate how these different spheres are in reality closely related and complementary.

The authors describe how our innate behavioral and cognitive biases cause us to make poor investing decisions, and how we can avoid such outcomes by adhering to a systematic value investing process, based on techniques used by fundamental investors, that maximizes the statistical likelihood of investment success. Based on wide-ranging and amply documented academic research, the approach uses computers to search the universe of stocks and identify those that meet its robust stock selection criteria.

This is a comprehensive, soup-to-nuts investment process. First, the authors council us to control risk by eliminating stocks that pose a risk of a permanent loss of capital due to fraud, earnings manipulation or financial distress. Next, they tackle value.
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25 of 27 people found the following review helpful By Robert Ray on February 26, 2013
Format: Hardcover Verified Purchase
This is an interesting book, although it reads a little like an academic paper. It has useful notes on behavioral investing and computer models.
The ultimate conclusion is to use EBIT/TEV as the guide to stock selection with financial ratio based edits to eliminate likely frauds and imminent bankruptcies. They persuasively show that Magic Formula investing is (relatively) flawed because it gets away from using the pure EBIT/TEV ratio.
To an experienced investor it reinforces what he or she already knows; to the lesser experienced it is a valuable introduction to stock selection. All the accounting ratios and formulas are probably a little much for a neophyte. If I were Steve Cohen I would have their ultimate checklist loaded into my computer and start running a screen. The average investor without a big computer department will just have to look for high EBIT/TEV ratios and edit out the ones with poor financials (but not the ones with gloomy analysts' opinions, e.g. a Microsoft). Actually the authors implicitly suggest ignoring analysts' opinions (by not editing the model's results).
The authors consistently refer to financial ratios as those of a stock instead of a company which is quite irritating. They must know there is a difference between a company and its stock; it's sloppy writing. As academics they also evidently feel impelled to use volatility as a measure of risk, to the point of saying their ultimate strategy is more risky then the S&P 500 (when their backtesting clearly shows that it has lower overall drops during bear markets, which is what most non-academics would define as risk).
Unfortunately for an $ 85 book production values are poor. The graphs are difficult to read (they are almost all too small, with the different strategies poorly delineated).
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