Arnott, Harvey: machine learning dangerous when data thin
Experts warn ML should be used “for its correct purpose” – not for prying long-term strategies from sparse information
Rob Arnott and Campbell Harvey – two of the best known experts in quant investing – have warned investors against using machine learning to derive investment strategies from too-thin data.
According to Arnott, using sparse data to train “powerful” machine learning algorithms is akin to driving a Ferrari on an off-road dirt track.
“If you visit the data often enough and in enough depth [using machine learning], you’ll find all sorts of things that look marvellous,” Arnott says. “It doesn’t mean
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Asset management
Pension schemes prep facilities to ‘repo’ fund units
Schroders, State Street and Cardano plan new way to shore up pension portfolios against repeat of 2022 gilt crisis
Fears of runaway risk on offshore reinsurance
Life insurers catch the eye of UK regulator for pension buyout financing trick
Hot topic: SEC climate disclosure rule divides industry
Proposal likely to flounder on First Amendment concerns, lawyers believe
‘Brace, brace’: quants say soft landing is unlikely
Investors should prepare for sticky inflation and volatile asset prices as central banks grapple with turning rates cycle
Trend following struggles to return to vogue
Macro outlook for trend appears to be favourable, but 2023’s performance flop gives would-be investors pause for thought
Start-up bond platform OpenYield prepares to launch
Start-up aims to give retail brokers the same electronic liquidity used by the professionals
Can machine learning help predict recessions? Not really
Artificial intelligence models stumble on noisy data and lack of interpretability
How patchy liquidity is stymieing systematic credit
…and what investors like AllianceBernstein, Man Numeric and Acadian are doing about it
Most read
- Top 10 operational risks for 2024
- Filling gaps in market data with optimal transport
- The American way: a stress-test substitute for Basel’s IRRBB?