Potential of fast and frugal trees in factor investing on the US equity market

Abstract This paper examines the predictive value of fast-and-frugal trees modelling embeding thefive factors suggested by model. We examine a fast-andfrugaltrees predictive model of returns upon stock traded on the S&P500 over the years2010 to 2024. We allow for three variations in the predictive context of the fast-and-frugaltrees used: Skewness in the coefficients of the Fama-French models OLS regressionestimates Analysts following the chosen firm/industry sector. Market value of the firm or sector examined.We find the FFT model is a worthy competitor to regression models in predictingstock returns for the S&P 500 in our sample period, especially in terms of theconsistent nature of the predictions across sectoral groups. But a logisticregression alternative outperforms both OLS and our fast-and-frugal-tree inpredicting S&P 500 returns in our sample period.

Authors

Institutions

Publication Details

Journal
Mind & Society
Published
2025-10-19
DOI
https://doi.org/10.1007/s11299-025-00351-y
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Potential of fast and frugal trees in factor investing on the US equity market

Egor Kiselev, Len Skerratt, William Forbes
Mind & Society
Financial Markets and Investment Strategies
article

Potential of fast and frugal trees in factor investing on the US equity market

Egor Kiselev, Len Skerratt, William Forbes
article en

Abstract

Abstract This paper examines the predictive value of fast-and-frugal trees modelling embeding thefive factors suggested by model. We examine a fast-andfrugaltrees predictive model of returns upon stock traded on the S&P500 over the years2010 to 2024. We allow for three variations in the predictive context of the fast-and-frugaltrees used: Skewness in the coefficients of the Fama-French models OLS regressionestimates Analysts following the chosen firm/industry sector. Market value of the firm or sector examined.We find the FFT model is a worthy competitor to regression models in predictingstock returns for the S&P 500 in our sample period, especially in terms of theconsistent nature of the predictions across sectoral groups. But a logisticregression alternative outperforms both OLS and our fast-and-frugal-tree inpredicting S&P 500 returns in our sample period.

Mind & SocietyVol. 24(2)
University of Dundee (GB)
Openalex Percentile: Top 62%
Financial Markets and Investment Strategies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Potential of fast and frugal trees in factor investing on the US equity market — Egor Kiselev, Len Skerratt, et al. · Mind & Society (2025) | TGRS Research Map | TGRS