Forecasting Realized Volatility Measures with Multivariate and Univariate Models: The Case of The US Banking Sector
Gianluca Cubadda,
Alain Hecq and
Antonio Riccardo ()
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Antonio Riccardo: ICE Data Services Italy
No 445, CEIS Research Paper from Tor Vergata University, CEIS
Abstract:
This paper compares the forecasting performances of both univariate and multivariate models for realized volatilities series. We consider realized volatility measures of the returns of 13 major banks traded in the NYSE. Since our variables are characterized by the presence of long range dependence, we use several modelling approaches that are able to capture such feature. We look at the forecasting accuracy of the considered models to make inference on the underlying mechanism that has generated volatilities of the assets. Our main conclusion is that the contagion effect among the considered volatilities is small or, at least, not well captured by the considered multivariate models.
Keywords: Consumption; asymmetry; expectations; noisy information (search for similar items in EconPapers)
JEL-codes: C32 (search for similar items in EconPapers)
Pages: 27 pages
Date: 2018-10-30, Revised 2018-10-30
New Economics Papers: this item is included in nep-ets and nep-for
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:rtv:ceisrp:445
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