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Conquering Risk: Attacking Wall Street and Vegas Paperback – January 1, 2010
Elihu D Feustel (Author) Find all the books, read about the author, and more. See search results for this author |
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- Print length304 pages
- LanguageEnglish
- Publication dateJanuary 1, 2010
- Dimensions6 x 0.69 x 9 inches
- ISBN-101450723004
- ISBN-13978-1450723008
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- Publisher : Independent Publisher (January 1, 2010)
- Language : English
- Paperback : 304 pages
- ISBN-10 : 1450723004
- ISBN-13 : 978-1450723008
- Item Weight : 14.4 ounces
- Dimensions : 6 x 0.69 x 9 inches
- Best Sellers Rank: #693,318 in Books (See Top 100 in Books)
- #99 in Sports Gambling (Books)
- Customer Reviews:
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The rest of this review is mostly negative. It is intended for people who have already read the book, to point out a few areas in which I disagree. I like 95% of this book, for the reasons given in the first paragraph. This covers the remaining 5%.
While I appreciate the reasons for keeping the mathematical level low, the trend among professional sports bettors has been to use far more rigorous and sophisticated methods than the ad-hoc-plus-regression-and-backtesting described here. In particular, signal processing and natural language processing techniques have revolutionized the field. For all the additional equations and computer power, it's not clear that the new methods outperform the simpler ones. Their huge advantage is they can be applied to far more markets with far less human intervention. Thus they are more suitable to someone who wants to build a business than someone who wants to work for himself and make a living. It would be nice to have a chapter on this, at least to point out the competition. This could have replaced the staggeringly dull and useless blow-by-blow account of one author's experience in fantasy fencing.
One specific problem is the discussion of Poisson models. An example is given of betting on Kobe Bryant's Assists+Rebounds total in the 2009-10 NBA season. The authors review whether this meets the assumptions of a Poisson distribution, but don't look to see if the actual numbers follow one. They don't. Kobe averaged about 10.5 for the season. The Poisson model says he should have had 52 of his 73 games between 8 and 14; he in fact had 38 (he had 22 games below 8, instead of 13 from the model, and 13 above 14, instead of 8 from the model). The key point, which is never made in the book for any model, is that the deviation from Poisson very likely means Kobe has different expected totals in different games; the most likely influencing factor is who he is guarding, but it could also depend on his health, how evenly-matched the game is, the Laker line-up and so on. That means any bet using any model that does not incorporate the additional relevant information is likely foolish. Simple models are valuable because they often work, and when they don't, they tell you to find new data rather than elaborate the model. Transforming the data so it fit a Poisson, or using a non-Poisson alternative, would be very foolish.
I also would have liked to see a better discussion of Kelly, including modern work and extensions for overlapping and correlated bets. The authors treat expected value and expected return equally, without considering the important problem of setting the appropriate denominator for games with more than two outcomes. They claim it is impossible to generate positive expected value out of a series of negative expected value bets. This is not true (see, for example, Parrondo's Paradox) but it is probably wise to leave that fact out of a book like this where it could do far more harm by encouraging disastrous schemes than good by refining ideas of risk.
Although the book claims to cover Wall Street as well as Las Vegas, there is no mention of high-frequency trading. That is both the type of trading most similar to sports betting, and the field with the most cross pollenization. Many successful HFT practitioners started in sports betting. "Chasing steam" in sports betting is the same as "sniping" in HFT, "syndicates" are like "icebergs." Moreover, this is not an area where the authors' anemic debate about market efficiency is relevant; there is no doubt that HFT makes consistent money. Setting up an operation has costs similar to setting up a medium-sized sports-betting syndicate. Medium-frequency trading (a.k.a. day trading) is accessible to individuals with relatively small bankrolls. As with sports betting, a large fraction, maybe 98%, of people who do this will lose money; but it takes only moderate sense and discipline to make a living at it.
In the discussion of longer-term investing, the authors seem more like fish than professionals. They recommend a Roth IRA. The difference between a Roth and a regular IRA is you pay the government today for the promise that it won't tax you later. Only it's not really a promise, it's just how the current tax code is written, and the tax code changes every year. Personally, I think retirement accounts will become irresistible tax targets as budget pressures mount; and are odds-on to at least render holders under 50 ineligible for social security benefits. Of course, others disagree, but you should at least look as carefully into the issue as into whether an Internet sports betting sites pays its winners (I'd give Washington a D rating based on its history). The authors also recommend market orders, which no one should ever use. If you want to be pretty sure of buying or selling something, enter a limit above (buying) or below (selling) the current market. But unless you want to pay $1,000 for a $50 stock, or sell it at a penny, avoid market orders (if the execution price is more than 60% away from the previous price you might, emphasize might, get the trade cancelled, but that's far too much to risk).
There's also a recommendation of index funds. While I am a big fan of low-cost, tax-efficient index investing; there is also a big flaw. An index fund, by definition, has to be overinvested in the overpriced stocks and underinvested in the underpriced ones. You may not know which stock is which, but it's a mathematical certainty about the index fund. Plenty of research indicates you do better with almost any other weighting; equally-weighted, weighting by revenues or employees or whatever. Also lots of research, even by the strongest efficient-market partisans, indicates value stocks do better than growth stocks, levered low-volatility assets do better than high-volatility assets and momentum investing does better than passive investing. There are also plenty of well-documented arbitrages out there: buy merger targets and short acquirers, buy convertible bonds and short stocks, borrow in low-yielding currencies and invest in high-yielding ones and more. These may or may not be suitable for individuals, but it's silly to say you have to be smarter or have better information than everyone else to do better than average in the market. There's also little doubt that individuals who focus on niches, a few small companies or currencies, a minor commodity spread, can make consistent profits.
While this is a great book for what it does, it has its limitations. For a more professional look at advantage gambling, there is no competition for James Grosjean's Beyond Counting. There are a number of good mathematical treatments, but Ed Thorp's The Mathematics of Gambling is a great one, and available free on the Internet. Unfortunately I don't know a good book on advantage financial trading.