TY - UNPB
T1 - Volatility Managed Multi-factor Portfolios
AU - Reschenhofer, Christoph
AU - Zechner, Josef
PY - 2022/1/10
Y1 - 2022/1/10
N2 - This paper shows that portfolio performance can be improved significantly when jointly using volatilities of past factor returns and option-implied market volatilities to determine factor exposures. Improvements are much larger in risk regimes characterized by option-implied right-skewed and/or high vola market returns. When model parameters are estimated separately for different regimes, risk-adjusted portfolio returns improve even further. The results are not driven by a specific set of factors but also achieved when principal components of a large universe of factors are used as factors. The findings are robust to transaction costs and to out-of-sample estimation.
AB - This paper shows that portfolio performance can be improved significantly when jointly using volatilities of past factor returns and option-implied market volatilities to determine factor exposures. Improvements are much larger in risk regimes characterized by option-implied right-skewed and/or high vola market returns. When model parameters are estimated separately for different regimes, risk-adjusted portfolio returns improve even further. The results are not driven by a specific set of factors but also achieved when principal components of a large universe of factors are used as factors. The findings are robust to transaction costs and to out-of-sample estimation.
KW - Volatility management
KW - equity risk premia
KW - portfolio management
KW - investment strategies
U2 - 10.2139/ssrn.4005163
DO - 10.2139/ssrn.4005163
M3 - Working Paper/Preprint
BT - Volatility Managed Multi-factor Portfolios
ER -