Disentangling systematic and idiosyncratic dynamics in panels of volatility measures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11230%2F14%3A10295822" target="_blank" >RIV/00216208:11230/14:10295822 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.jeconom.2014.05.017" target="_blank" >http://dx.doi.org/10.1016/j.jeconom.2014.05.017</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jeconom.2014.05.017" target="_blank" >10.1016/j.jeconom.2014.05.017</a>
Alternative languages
Result language
angličtina
Original language name
Disentangling systematic and idiosyncratic dynamics in panels of volatility measures
Original language description
Realized volatilities observed across several assets show a common secular trend and some idiosyncratic pattern which we accommodate by extending the class of Multiplicative Error Models (MEMs). In our model, the common trend is estimated nonparametrically, while the idiosyncratic dynamics are assumed to follow univariate MEMs. Estimation theory based on seminonparametric methods is developed for this class of models for large cross-sections and large time dimensions. The methodology is illustrated using two panels of realized volatility measures between 2001 and 2008: the SPDR Sectoral Indices of the S&P500 and the constituents of the S&P100. Results show that the shape of the common volatility trend captures the overall level of risk in the market and that the idiosyncratic dynamics have a heterogeneous degree of persistence around the trend. Out-of-sample forecasting shows that the proposed methodology improves volatility prediction over several benchmark specifications.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA13-24313S" target="_blank" >GA13-24313S: Wavelet analysis of nonstationary and long memory economic time series</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Econometrics
ISSN
0304-4076
e-ISSN
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Volume of the periodical
182
Issue of the periodical within the volume
2
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
21
Pages from-to
364-384
UT code for WoS article
000340335400008
EID of the result in the Scopus database
2-s2.0-84905020370