Seven Deadly Sins of Quantitative Analysts | from Quandl

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Transcript of Seven Deadly Sins of Quantitative Analysts | from Quandl

Page 1: Seven Deadly Sins of Quantitative Analysts | from Quandl
Page 2: Seven Deadly Sins of Quantitative Analysts | from Quandl

SOONER OR LATER, EVERY QUANT IS TEMPTED BY FORBIDDEN FRUIT.

THESE ALL-TOO-HUMAN TRAITS CAN PERMEATE EVEN THE MOST SOPHISTICATED ANALYSIS.

KEEP THESE TIPS IN MIND AS YOU DEVELOP STRATEGIES, AND YOU

JUST MAY TURN VICE INTO VIRTUE.

Page 3: Seven Deadly Sins of Quantitative Analysts | from Quandl

Do not overfit your model.Stay lean and parsimonious.

#7DEADLYSINSOFQUANTS

Page 4: Seven Deadly Sins of Quantitative Analysts | from Quandl

Do not extend your model beyond its natural scope.Stick to what you know.

#7DEADLYSINSOFQUANTS

Page 5: Seven Deadly Sins of Quantitative Analysts | from Quandl

You will be tempted to iterate onout-of-sample data. Don’t do it.

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Page 6: Seven Deadly Sins of Quantitative Analysts | from Quandl

If you are lazy or sloppy with your data, you will fail.

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Page 7: Seven Deadly Sins of Quantitative Analysts | from Quandl

Never get emotional. All models eventually fail. Recognize failure, and

react rationally.

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Page 8: Seven Deadly Sins of Quantitative Analysts | from Quandl

To be like the best, emulate their rigor and discipline; not their models.

Copycats fail.

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Page 9: Seven Deadly Sins of Quantitative Analysts | from Quandl

The market knows more than you and always will.Forget this truth at your peril.

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Page 10: Seven Deadly Sins of Quantitative Analysts | from Quandl

Printable pdf available:

https://www.quandl.com/blog/7-deadly-sins-of-a-quant

Page 11: Seven Deadly Sins of Quantitative Analysts | from Quandl

https://www.quandl.com/blog/7-deadly-sins-of-a-quant

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