-
Replicating the Levitt and Porter estimates of drunk driving (replication data)
Estimates of the prevalence and risk of drinking-and-driving are a high-priority need for researchers and policymakers. Levitt and Porter (Journal of Political Economy, 2001,... -
Do High-Frequency Data Improve High-Dimensional Portfolio Allocations? (repli...
This paper addresses the debate about the usefulness of high-frequency (HF) data in large-scale portfolio allocation. We construct global minimum variance portfolios based on... -
A blocking and regularization approach to high-dimensional realized covarianc...
We introduce a blocking and regularization approach to estimate high-dimensional covariances using high-frequency data. Assets are first grouped according to liquidity. Using...
