Abstract
Investigators publish new report on ar tificial intelligence. According to news reporting from Liverpool, United Kingdo m, by NewsRx journalists, research stated, "We evaluate whether machine learning methods can better model excess portfolio returns compared to the standard regr ession-based strategies generally used in the finance and econometric literature ." Our news journalists obtained a quote from the research from Liverpool John Moor es University: "We examine 17 benchmark factor model specifications based on Exp ected Utility Theory and theory drawn from behavioural finance. We assess whethe r machine learning can identify features of the data-generating process undetect ed by standard methods and rank the best-performing algorithms. Our tests use 95 years of CRSP data, from 1926 to 2021, encompassing the price history of the br oad US stock market."
NETL
NSTL