RT Journal Article
SR Electronic
T1 The 10 Reasons Most Machine Learning Funds Fail
JF The Journal of Portfolio Management
FD Institutional Investor Journals
SP 120
OP 133
DO 10.3905/jpm.2018.44.6.120
VO 44
IS 6
A1 Marcos López de Prado
YR 2018
UL https://pm-research.com/content/44/6/120.abstract
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