Quantopian Summer Lecture: You Don’t Know How Wrong You Are

Any estimate comes with a degree of uncertainty, but often that uncertainty is ignored. This is incredibly dangerous in finance, as a wrong estimate can be the difference between steady gains and massive losses. This lecture will cover some problems with how estimates are often taken and discuss some ways to quantify the uncertainty.

This talk is part of Quantopian’s Summer Lecture Series. We are currently developing a quant finance curriculum and will be releasing clone-able notebooks and algorithms to go along with this lecture.

Pizza and beer will be served.

Speaker Details

Delaney Granizo-Mackenzie will be presenting. Delaney is an engineer at Quantopian whose focus is on how Quantopian can be used as a teaching tool. After studying computer science at Princeton, Delaney joined Quantopian in 2014. Since then he has led successful course integrations at MIT Sloan and Stanford, and is planning on expanding to many more schools this fall. Delaney’s background includes 7 years of academic research at a bioinformatics lab, and a strong focus on statistics and machine learning.

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