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Clustered Dynamic Conditional Correlation Multivariate GARCH Model
2008The time-varying correlations between multivariate financial time series have been intensively studied. For example DCC and Block-DCC models have been proposed. In this paper, we present a novel Clustered DCC model which extends the previous models by incorporating clustering techniques.
Tu Zhou, Laiwan Chan
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Conditional correlated jump dynamics in foreign exchange
Economics Letters, 2004Abstract This paper studies conditional correlated jump dynamics in foreign exchange returns using a new bivariate jump model with autoregressive jump intensities. Using daily data of German Mark against British Pound and Japanese Yen against the US dollar, we find currency return correlations are driven not only by the normal disturbances, but also ...
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Identifying financial time series with similar dynamic conditional correlation
Computational Statistics & Data Analysis, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Understanding Dynamic Conditional Correlations between Commodities Futures Markets
2016We estimate dynamic conditional correlations between 10 commodities futures returns in energy, metals and agriculture markets over the period 1998-2014 with a DCC-GARCH model. We look at the factors influencing those correlations, adopting a pooled mean group (PMG) estimator.
Behmiri, Niaz Bashiri +5 more
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A local dynamic conditional correlation model [PDF]
This paper introduces the idea that the variances or correlations in financial returns may all change conditionally and slowly over time. A multi-step local dynamic conditional correlation model is proposed for simultaneously modelling these components.
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Conditional Selection of Genomic Alterations Dictates Cancer Evolution and Oncogenic Dependencies
Cancer Cell, 2017Marco Mina +2 more
exaly
Dynamic Spectral Conditional Correlations
Karim M. Abadir, Georg Michael Rockingeropenaire +1 more source

