Pairs Trading: Quantitative Methods and Analysis (Wiley Finance) [Hardcover]

When people talk about "quant" stuff, they are generally talking about two fairly distinct kinds of quant. There are the derivatives guys (options sell side & risk hedgers), and the 'statistical arbitrage' guys. This is one of the best books for a larval 'statistical arbitrage' guy. 'Statistical arbitrage' is a term referring to the techniques used by sophisticated hedge funds and trading desks to provide 'risk free' returns. I stick in the scare quotes around these phrases, because they're not really arbitrage, though they can be pretty decoupled from market returns. The techniques go well beyond just trading pairs, so the phrase, 'stat arb' is probably with us for good, even though it is often neither stat nor arb. The mean reverting versions of these techniques were largely invented by Nunzio Tartaglia and company (primarily Gerry Bamberger according to Thorp) at Morgan Stanley in the 1980s. Many of his underlings went on to found their own hedge funds, and the secret eventually became relatively common knowledge. Boesky was one of the more famous practitioners of merger arbitrage, which is an older, related technique.

This book is a fun introduction to 'statistical arbitrage,' concentrating on the standard "mean reverting pairs" variety, and a decent explanation of merger arbitrage which he unifies with mean reverting stat arb in an interesting way. These two strategies still form the basis of a large number of high frequency techniques in one form or another. In fact, the book provides enough background material to be useful for all kinds of techniques for finding alpha; it has a very clear treatment of factor models, time series analysis (best low level one I have ever read, anywhere) and what market neutrality is and isn't. He provides a decent amount of discussion of the complexities surrounding tradeability and other practical issues that get swept under the rug in most books.

Sure, there are a lot of specific 'stat arb' techniques he doesn't mention explicitly. He doesn't talk about basket trading plays, index arbitrage, volatility arbitrage or any of the other myriad clever (and often over my head) techniques used by sophisticated fund managers to vacuum up loose change that dumb people leave on the street. So what? Vidyamurthy gives you enough material you can go out and learn the practical details of real strategies on your own. If you're gifted enough, you can go figure them out (and more) for yourself once you understand the material in the book: they're mostly variations on these themes. Why should Vidyamurthy give away the keys to the kingdom for $100? Be happy he wrote the book at all. Presumably, he makes a living actually doing 'stat arb' type things, and his motivation was to have a book to give to his underlings so he didn't have to explain GARCH and cointegration to someone who breathes out of his mouth for the 9,000th time.

Anyone who can't read this book simply doesn't have the intellectual horsepower or attention span to do this kind of trading. The book is almost excruciatingly clear, it is very short, and even does the MBA's the favor of tucking the scary mathematics involving matrices and standard deviations safely away in chapter appendices. I mean, it even has cartoons and funny anecdotes (which are actually very funny: I detect a Wodehouse fan in Vidyamurthy). You have to actually pay attention while you read, and some sections, you may have to read twice. The concepts will not leap off the page and embed themselves into your frontal lobes, but it really isn't that difficult for any intelligent person to understand. I can think of no better introduction to pairs trading, or general alpha quant type stuff than this book. It should probably be on every wannabe quant or trader's desk if it isn't already etched into the fiber of their being.

I totally have to disagree with the first reviewer. I would rather say the opposite: the book is mathematically too simple in many places. But on the other hand it is not a statistics book. The book tries to explain complicated matters in a simple way. If you have no idea about stochastic processes, ARIMA-models, cointegration, stationarity,... then this book might not be the right one for you. But honestly: then pairs trading might not be the right thing for you either. Pairs trading is based on statistical concepts. This book only gives a brief idea of what statistical concepts are of use for pairs trading and how to apply them. If you really want to go into pairs trading, you will have to get much deeper into statistics then then this book does or can do. In my opinion the book does a brilliant job in giving you a link between statistical models, pairs trading and financial models (like the APT). I also bought the book "Trading Pairs" by Mark Whistler, and I must say i was rather disappointed, as, to my opinion, the book does not tell you what pairs trading is really about, but the book by Ganapathy Vidyamurthy does.

I was looking for books on stat arb and risk arb and was surprised that not many titles showed up for my search on Amazon. I eventually bought this book (a used copy) and although the book covers exactly the kind of stuff you want to learn about pairs trading, the writing is very poor and there are way too many places where the sentences don't make any sense, regardless of your math/stat background. This book is not a how-to book. It's a general treatise and not a good one at that. I cannot recommend this book. You may want to check out Tsay's financial time series analysis book which, although not specifically for pairs trading, has all the essential materials.