TY - JOUR
T1 - Asset pricing anomalies
T2 - Liquidity risk hedgers or liquidity risk spreaders?
AU - Virk, Nader Shahzad
AU - Butt, Hilal Anwar
N1 - Publisher Copyright:
© 2022 Elsevier Inc.
PY - 2022/5/1
Y1 - 2022/5/1
N2 - We capture two distinct investing preferences – hedging against aggregate liquidity risk or betting on it – in the cross-section of stock returns. A three-factor model underpinned by exposures to changes in market liquidity, isolating two alternating patterns, is developed. Our results can be summarized in the following ways: one, the improved performance of recent asset-pricing models is driven by factors that mimic liquidity risk hedging and are linked to cross-sectional mispricing. Two, our model outperforms competing models in explaining time-series return variation across market states. Three, our parsimonious model enables an understanding of diverging return premia in the cross-section. Four, the estimated risk premiums in our model correspond to theoretical, economic, and statistical restrictions holistically across varied and complex anomaly structures. In this respect, the performance of the proposed model is even better than the risk premiums on factors in the model that have the largest cross-sectional r-squared values.
AB - We capture two distinct investing preferences – hedging against aggregate liquidity risk or betting on it – in the cross-section of stock returns. A three-factor model underpinned by exposures to changes in market liquidity, isolating two alternating patterns, is developed. Our results can be summarized in the following ways: one, the improved performance of recent asset-pricing models is driven by factors that mimic liquidity risk hedging and are linked to cross-sectional mispricing. Two, our model outperforms competing models in explaining time-series return variation across market states. Three, our parsimonious model enables an understanding of diverging return premia in the cross-section. Four, the estimated risk premiums in our model correspond to theoretical, economic, and statistical restrictions holistically across varied and complex anomaly structures. In this respect, the performance of the proposed model is even better than the risk premiums on factors in the model that have the largest cross-sectional r-squared values.
KW - Aggregate liquidity-risk
KW - Asset-pricing models
KW - Estimated risk premium
KW - Mispricing
KW - Risk
UR - http://www.scopus.com/inward/record.url?scp=85126854093&partnerID=8YFLogxK
U2 - 10.1016/j.irfa.2022.102104
DO - 10.1016/j.irfa.2022.102104
M3 - Article
AN - SCOPUS:85126854093
VL - 81
JO - International Review of Financial Analysis
JF - International Review of Financial Analysis
SN - 1057-5219
M1 - 102104
ER -