TY - GEN
T1 - Financial Risk Disclosure Return Premium
T2 - 2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, CIFEr 2024
AU - Zhang, Beichen
AU - Yang, Steve
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - We examine the risk factors disclosed in the 10-K financial statement section 1A across 9 years with over 500 hundred companies. We propose a financial disclosure risk factor to extend the Fama-French 3 factor model and Fama-MacBeth cross-section regression. Using the risk factors data from 2015 to 2023, we find the average risk-return premium across nine sectors is significant after controlling for other risk factors from the Fama-French 3-factor model. The premium is measured by monthly return series on risky-minus-less risky stocks or by the coefficient of stock risk factor estimated from cross-section Fama-MacBeth regressions. These text risk factors can potentially be used to construct portfolios that can generate significant returns across different sectors.
AB - We examine the risk factors disclosed in the 10-K financial statement section 1A across 9 years with over 500 hundred companies. We propose a financial disclosure risk factor to extend the Fama-French 3 factor model and Fama-MacBeth cross-section regression. Using the risk factors data from 2015 to 2023, we find the average risk-return premium across nine sectors is significant after controlling for other risk factors from the Fama-French 3-factor model. The premium is measured by monthly return series on risky-minus-less risky stocks or by the coefficient of stock risk factor estimated from cross-section Fama-MacBeth regressions. These text risk factors can potentially be used to construct portfolios that can generate significant returns across different sectors.
KW - Fama-French 3 factor model
KW - Fama-McBeth cross-section regression
KW - financial statement
KW - risk factors
UR - http://www.scopus.com/inward/record.url?scp=85215013171&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85215013171&partnerID=8YFLogxK
U2 - 10.1109/CIFER62890.2024.10772758
DO - 10.1109/CIFER62890.2024.10772758
M3 - Conference contribution
AN - SCOPUS:85215013171
T3 - 2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, CIFEr 2024
BT - 2024 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, CIFEr 2024
Y2 - 22 October 2024 through 23 October 2024
ER -