EconPapers    
Economics at your fingertips  
 

Do High-frequency-based Measures Improve Conditional Covariance Forecasts?

Elena Ivona Dumitrescu and Georgiana-Denisa Banulescu ()
Additional contact information
Georgiana-Denisa Banulescu: LEO - Laboratoire d'Économie d'Orleans [FRE2014] - UO - Université d'Orléans - UT - Université de Tours - CNRS - Centre National de la Recherche Scientifique

Post-Print from HAL

Abstract: Forthcoming

Keywords: [No; keyword; available] (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Published in Financial Mathematics, Volatility and Covariance Modelling, Routledge, 2019, Advances in Applied Financial Econometrics

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
Working Paper: Do High-frequency-based Measures Improve Conditional Covariance Forecasts? (2019) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03331122

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2025-03-19
Handle: RePEc:hal:journl:hal-03331122