Skip to Content
Hands-On Machine Learning for Algorithmic Trading
book

Hands-On Machine Learning for Algorithmic Trading

by Stefan Jansen
December 2018
Beginner to intermediate
684 pages
21h 9m
English
Packt Publishing
Content preview from Hands-On Machine Learning for Algorithmic Trading

Rationale

The low volatility anomaly contradicts the hypothesis of efficient markets and the CAPM assumptions. Instead, several behavioral explanations have been advanced.

The lottery effect builds on empirical evidence that individuals take on bets that resemble lottery tickets with a small expected loss but a large potential win, even though this large win may have a fairly low probability. If investors perceive the risk-return profile of a low price, volatile stock as similar to a lottery ticket, then it could be an attractive bet. As a result, investors may overpay for high volatility stocks and underpay for low volatility stocks due to their biased preferences. The representativeness bias suggests that investors extrapolate the success ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Machine Learning for Algorithmic Trading - Second Edition

Machine Learning for Algorithmic Trading - Second Edition

Stefan Jansen

Publisher Resources

ISBN: 9781789346411Supplemental Content