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Swiss Journal of Economics and Statistics

, Volume 150, Issue 3, pp 191–226 | Cite as

Obtaining and Predicting the Bounds of Realized Correlations

  • Lidan Grossmass
Open Access
Article
  • 33 Downloads

Summary

This paper argues that the inherent data problems make precise point identification of realized correlation difficult but identification bounds in the spirit of Manski (1995) can be derived. These identification bounds allow for a more robust approach to inference especially when the realized correlation is used for estimating other risk measures. We forecast the identification bounds using the HAR model of Corsi (2003) using data during the year of onset of the credit crisis and find that the bounds provide good predictive coverage of the realized correlation for both 1- and 10-step forecasts even in volatile periods.

Keyword

High Frequency Data Realized Covariance Partial Identification Bounds 

JEL-Classification

C14 C18 C58 G17 

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Copyright information

© Swiss Society of Economics and Statistics 2014

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of KonstanzKonstanzGermany

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