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. (2012) with high frequency measures such as realized correlation to obtain a "GRAS" model. We …nd that the inclusion of realized measures signi…cantly improves the in-sample …t of dynamic copula models across a range of U.S. equity returns. Moreover, we …nd 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.

The claim that lawyers act as gatekeepers or certifiers in financial transactions is widely discussed in the legal literature. There has, however, been little empirical examination of the claim. We test the hypothesis that law firms have replaced investment banks as the gatekeepers of the market for sovereign debt. Our results suggest that hiring outside law firms sends a negative signal to the market regarding the pending issuance; a finding that is inconsistent with the thesis that outside law firms primarily play a certification role in the sovereign debt market.

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