RT Generic
T1 Models for expected returns with statistical factors
A1 Cueto, José Manuel
A1 Grané Chávez, Aurea
A1 Cascos Fernández, Ignacio
A2 Universidad Carlos III de Madrid. Departamento de Estadística, 
AB In this paper we propose factor-models assembled out of three new factors and evaluate them on European Equities. The new factors are built from statistical measurements on stock prices, in particular, coefficient of variation, skewness and kurtosis. Data come from Reuters, correspond to nearly 2000 EU companies and span from Jan-2008 to Feb-2018. Regarding methodology, we propose a non-parametric resampling procedure that accounts for time dependency in order to test the validity of the model and the significance of the parameters involved. We compare our bootstrap-based inferential results with classical proposals (based on F-statistics). Methods under assessment are Time-series regression, Cross-Sectional regression and the Fama-MacBeth procedure. The main findings indicate that the two factors that better improve the CAPM-model with regard to the adjusted R2 in the time-series regressions are the skewness and the cofficient of variation. For this reason, a model including those two factors together with the market is thoroughly studied.
SN 2387-0303
YR 2019
FD 2019-09-04
LK https://hdl.handle.net/10016/28776
UL https://hdl.handle.net/10016/28776
LA eng
NO Research partially supported by ECO2015-66593-P
DS e-Archivo
RD 1 sept. 2024