After the fall of Lehman Brothers, Joe Peta was out of a job. He found a new one but lost that, too, when an ambulance mowed him down. In search of a way to cheer himself up while he recuperated in a wheelchair, Peta started watching baseball again, as he had growing up. That’s when inspiration hit: Why not apply his outstanding risk-analysis skills to improve on sabermetrics, the method made famous by Moneyball - and beat the only market in town, the Vegas betting line? Why not treat MLB like the S&P 500?
In Trading Bases, Peta shows how to subtract luck - in particular "cluster luck", as he puts it - from a team’s statistics to best predict how it will perform in the next game and over the whole season. His baseball "hedge fund" returned an astounding 41 percent in 2011 - and has never been down more than 5 percent. Peta takes listeners to the ballpark in San Francisco, trading floors and baseball bars in New York, and sports books in Vegas, all while tracing the progress of his wagers.
Often humorous, occasionally touching, and with a wink toward the sheer implausibility of the whole project, Trading Bases is all about the love of critical reasoning, trading cultures, risk management, and baseball. And not necessarily in that order.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
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Customer ReviewsMost Helpful
By Cameron on 18-04-16
A fascinating book, but buy the print version.
With lively energy and a passion for the material, Joe Peta guides the reader through his journey from investment banker to investment better. His prose style is compelling, and he holds just the right mix of anecdote and analysis from cover to cover. The issue is that he does so with a myriad of statistics which, when read one by one, become incredibly tedious and difficult to interpret. Strongly recommend this book, but only in its print form.
3 of 3 people found this review helpful
By Holley on 28-03-13
Captured from the first chapter. Great baseball insights. I do not gamble but the complexity of the analysis had many applications.
2 of 2 people found this review helpful