Publications [#320607] of Andrew J. Patton

Journal Articles

1. Patton, AJ; De Lira Salvatierra, I, Dynamic Copula Models and High Frequency Data, Journal of Empirical Finance, vol. 30 (January, 2015), pp. 120-135, Elsevier BV [doi]
   (last updated on 2026/01/17)

   Abstract:
   © 2014 Elsevier B.V.This paper proposes a new class of dynamic copula models for daily asset returns that exploits information from high frequency (intra-daily) data. We augment the generalized autoregressive score (GAS) model of Creal et al. (2013) with high frequency measures such as realized correlation to obtain a "GRAS" model. We find that the inclusion of realized measures significantly improves the in-sample fit of dynamic copula models across a range of U.S. equity returns. Moreover, we find that out-of-sample density forecasts from our GRAS models are superior to those from simpler models. Finally, we consider a simple portfolio choice problem to illustrate the economic gains from exploiting high frequency data for modeling dynamic dependence.