TY - JOUR
T1 - A financial modeling approach to industry exchange-traded funds selection
AU - Conlon, Thomas
AU - Cotter, John
AU - Kovalenko, Illia
AU - Post, Thierry
N1 - Publisher Copyright:
© 2023 Elsevier B.V.
PY - 2023/12
Y1 - 2023/12
N2 - This study uses a comprehensive approach to optimize the portfolio allocation to equity sector Exchange Traded Funds. We combine data on the market prices of options written on the funds, the Heston stochastic volatility model, risk premium transformation, copulas, and optimization with stochastic dominance constraints. This comprehensive strategy provides significant performance out-of-sample gains relative to the passive and active alternative strategies, both before and after accounting for risk and transaction costs. Our findings point at market inefficiencies that can be exploited using sector funds, past public data, and blending multiple methods.
AB - This study uses a comprehensive approach to optimize the portfolio allocation to equity sector Exchange Traded Funds. We combine data on the market prices of options written on the funds, the Heston stochastic volatility model, risk premium transformation, copulas, and optimization with stochastic dominance constraints. This comprehensive strategy provides significant performance out-of-sample gains relative to the passive and active alternative strategies, both before and after accounting for risk and transaction costs. Our findings point at market inefficiencies that can be exploited using sector funds, past public data, and blending multiple methods.
KW - Copulas
KW - Option-implied distribution
KW - Portfolio optimization
KW - Sector exchange traded funds
KW - Stochastic dominance
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U2 - 10.1016/j.jempfin.2023.101441
DO - 10.1016/j.jempfin.2023.101441
M3 - Article
AN - SCOPUS:85178914908
SN - 0927-5398
VL - 74
JO - Journal of Empirical Finance
JF - Journal of Empirical Finance
M1 - 101441
ER -