PT  - JOURNAL ARTICLE
AU  - Marcos López de Prado
TI  - The 10 Reasons Most Machine Learning Funds Fail
AID  - 10.3905/jpm.2018.44.6.120
DP  - 2018 Jun 30
TA  - The Journal of Portfolio Management
PG  - 120--133
VI  - 44
IP  - 6
4099  - https://pm-research.com/content/44/6/120.short
4100  - https://pm-research.com/content/44/6/120.full
AB  - The rate of failure in quantitative finance is high, particularly in financial machine learning applications. The few managers who succeed amass a large amount of assets and deliver consistently exceptional performance to their investors. However, that is a rare outcome, for reasons that the author explains in this article. In the author's experience, 10 critical mistakes underlie those failures.TOPIC: Big data/machine learning