This is a summary of links featured on Quantocracy on Thursday, 03/10/2016. To see our most recent links, visit the Quant Mashup. Read on readers!
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Some Limits of Machine Learning in Trading [MKTSTK]Aka my first podcast. Sorry Ive been AWOL for so long; Ive been deep in the lab working on my creation. As my work-life balance has careened towards work, I have found it difficult to sit down and write like I used to, so I am giving this whole podcast thing a try So without further ado, I present a thought which occurred to me whilst gazing at the bay, why is machine learning so hard in
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What You Don t Want to Hear About Dividend Stocks [Meb Faber]When was the last time you had an idea that resulted in the threat of your torture? In the early 1600s, Galileo was expanding upon Copernicus idea that the earth revolves around the sun. The easy-going church was slightly less than enthused. In short, things escalated The Pope got involved There was a trial The threat of torture Eventually, Galileo was found vehemently suspect of
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Quant Nerds Can Be Fun Too: We’re Hosting a March Madness Challenge [GestaltU]This is cross-posted from SkewU, our sister blog. We dont normally do this sort of thing, but this is important because: 1. You should check out SkewU, as its quite a bit different than GestaltU. Our posts over there are more diverse and whimsical if thats something that interests you. 2. And more importantly, standard March Madness bracket rules are the most awful, terrible, nonsensical,
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Trading the Presidential Election [Jonathan Kinlay]There is a great deal of market lore related to the US presidential elections. It is generally held that elections are good for the market, regardless of whether the incoming president is Democrat or Republican. To examine this thesis, I gathered data on presidential elections since 1950, considering only the first term of each newly elected president. My reason for considering first terms only