Change search
ReferencesLink to record
Permanent link

Direct link
Dynamic Conditional Correlation Multiplicative Error Processes
Stockholm University, Faculty of Science, Department of Mathematics.
2016 (English)In: Journal of Empirical Finance, ISSN 0927-5398, E-ISSN 1879-1727, Vol. 36, 41-67 p.Article in journal (Refereed) Published
Abstract [en]

We introduce a dynamic model for multivariate processes of (non-negative) high-frequency tradingvariables revealing time-varying conditional variances and correlations. Modeling the variables' conditional mean processes using a multiplicative error model, we map the resulting residuals into aGaussian domain using a copula-type transformation. Based on high-frequency volatility, cumulativetrading volumes, trade counts and market depth of various stocks traded at the NYSE, we show thatthe proposed transformation is supported by the data and allows capturing (multivariate) dynamicsin higher order moments. The latter are modeled using a DCC-GARCH specification. We suggest estimating the model by composite maximum likelihood which is sufficientlyflexible to be applicablein high dimensions. Strong empirical evidence for time-varying conditional (co-)variances in tradingprocesses supports the usefulness of the approach. Taking these higher-order dynamics explicitlyinto account significantly improves the goodness-of-fit and out-of-sample forecasts of the multiplicative error model.

Place, publisher, year, edition, pages
2016. Vol. 36, 41-67 p.
Keyword [en]
Multiplicative error model, Trading processes, Gaussian domain, DCC-GARCH, Liquidity risk
National Category
Probability Theory and Statistics Economics and Business
Research subject
Statistics
Identifiers
URN: urn:nbn:se:su:diva-127171DOI: 10.1016/j.jempfin.2015.12.002ISI: 000373417300004OAI: oai:DiVA.org:su-127171DiVA: diva2:907193
Available from: 2016-02-26 Created: 2016-02-26 Last updated: 2016-05-09Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Bodnar, Taras
By organisation
Department of Mathematics
In the same journal
Journal of Empirical Finance
Probability Theory and StatisticsEconomics and Business

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 32 hits
ReferencesLink to record
Permanent link

Direct link