Estimating The Correlation Of Non-Contemporaneous Time-Series
This paper examines the statistical problem of estimating the correlation of non-contemporaneous time-series observations such as daily returns for the FTSE and S&P500 stock indexes.
A December 2007 .pdf version is available on SSRN, and there is an abridged version.
About Thomas Coleman
Thomas S. Coleman is Senior Advisor at the Becker Friedman Institute for Research in Economics and Adjunct Professor of Finance at the Booth School of Business at the University of Chicago. Prior to returning to academia, Mr. Coleman worked in the finance industry for more than twenty years with considerable experience in trading, risk management, and quantitative modeling. Mr. Coleman earned a PhD in economics from the University of Chicago and a BA in physics from Harvard College.