137: Dr. William Ziemba – The Horse Bettor Exploiting Anomalies in Financial Markets

137: Dr. William Ziemba – The Horse Bettor Exploiting Anomalies in Financial Markets

Dr. William Ziemba’s an academic, a practitioner, gambler, trader and an author. He’s worked with and consulted to many well-respected names in the field, such as; Edward Thorp, Blair Hull and the very successful horse bettor, Bill Benter. In the beginning, horse betting was William’s field of expertise (he even published a book titled, Beat The Racetrack!) And in many ways, for William, horse betting worked as a gateway to trading financial markets—which he’s been doing since 1983. Now in current times, William manages a fund; Alpha Z Advisors—which started trading in July 2013 and as of May 2017, has returned 527%. Much of William's trading revolves around calendar anomalies, arbitrage strategies and behavioral biases. We spend a good amount of time discussing these few things, plus William shares one anomaly he's been trading for many years. In the later part of this episode, we also talk about position sizing, the Kelly Criterion and finally, horse racing. Learn more about your ad choices. Visit megaphone.fm/adchoices

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103: Dave Bergstrom – Escaping Randomness, and Turning to Data for an Edge

103: Dave Bergstrom – Escaping Randomness, and Turning to Data for an Edge

On this episode, I’m joined by a quant trader who works at a high frequency trading firm—though you might be surprised to hear, he started out on the same path that many retail traders do—his name is;...

15 Dec 201658min

Q4: Scott Sanderson – Portfolio Optimization: Risk Preferences In, Trades Out

Q4: Scott Sanderson – Portfolio Optimization: Risk Preferences In, Trades Out

When one has a price model that they think will work well for forecasting returns, the next step is to actually trade it. This isn’t that simple for a variety of reasons. For one thing, you need to de...

12 Dec 20161h 11min

102: Eugene Soltes – Unraveling a $65-Billion Ponzi Scheme and Notorious Cases of Insider Trading

102: Eugene Soltes – Unraveling a $65-Billion Ponzi Scheme and Notorious Cases of Insider Trading

Eugene Soltes is an author and finance professor at Harvard Business School. Over the past eight years, give or take, he’s spent a lot of time with many big-time executives and professionals who have ...

7 Dec 20161h 29min

Q3: Jonathan Larkin – Seeking Alpha? Try MORE Alpha Factors

Q3: Jonathan Larkin – Seeking Alpha? Try MORE Alpha Factors

In practice, no one trading model will ever be that good on its own. Luckily statistics has come up with a lot of theory about how you can combine weaker models to create better overall predictions. W...

5 Dec 201651min

101: Siam Kidd – Latching Onto Trends, Strategic Business Moves, and Breaking the Norm

101: Siam Kidd – Latching Onto Trends, Strategic Business Moves, and Breaking the Norm

My guest for episode 1-0-1 is Siam Kidd, from Norwich in the UK. He’s a former-air force pilot, turned retail trader. He’s also a serial entrepreneur, and on a quest to dramatically improve the school...

1 Dec 20161h 55min

Q2: Jessica Stauth – Seeking Alpha? Try Alpha Factors

Q2: Jessica Stauth – Seeking Alpha? Try Alpha Factors

Factors are at the core of a modern quant equity workflow. This episode introduces the notion of alpha and risk factors at a high level, and delves into some of the use cases which include: understand...

28 Nov 20161h 7min

100: Bao, @Modern_Rock – Overcome Adversity, Dominate a Niche, Become ‘the House’

100: Bao, @Modern_Rock – Overcome Adversity, Dominate a Niche, Become ‘the House’

My guest for this special milestone (being episode 100!) is someone who I’ve been attempting to bring on since before episode one was even released… Folks, I’d like to introduce you to Bao—or better k...

24 Nov 20161h 20min

Q1: Delaney Mackenzie – You Don’t Know How Wrong You Are

Q1: Delaney Mackenzie – You Don’t Know How Wrong You Are

The worst case in finance is when you think you’re right, but you’re actually wrong. This can be especially dangerous when you’ve used some methodology or statistics to justify a decision, but are una...

21 Nov 20161h 21min

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