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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

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AH - Economics

  • OECD FORD branch

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

  • 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