Multivariate Volatility Models
Multivariate volatility models
... Multivariate volatility models Ruey ...years, multivariate volatility models have been used to describe the time-varying feature of the ...used models for ...
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Consistent ranking of multivariate volatility models
... a multivariate framework. This paper examines the ranking of multivariate volatility models in terms of their ability to forecast out-of-sample conditional variance ...of multivariate ...
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Consistent ranking of multivariate volatility models
... a multivariate framework. This paper examines the ranking of multivariate volatility models in terms of their ability to forecast out-of-sample conditional variance ma- ...of ...
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Essays on multivariate volatility models: an application to emerging financial markets
... The multivariate volatility models mentioned above face the same problem, so their performance can be improved by assuming a mul- tivariate Student’s t-distribution that characterizes the fat-tailed ...
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Analytical quasi maximum likelihood inference in multivariate volatility models
... years, multivariate volatility models have become increasingly pop- ular in research and ...on models that are possible to estimate even in high ...of multivariate volatility ...
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Change Point Detection in the Conditional Correlation Structure of Multivariate Volatility Models
... used models, including constant condi- tional correlation (CCC), dynamic conditional correlation (DCC), BEKK, corrected DCC and factor ...appropriate multivariate volatility models can correct ...
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Change point detection in the conditional correlation structure of multivariate volatility models
... OF MULTIVARIATE VOLATILITY MODELS MARCO BARASSI, LAJOS HORV ´ ATH, AND YUQIAN ZHAO ...non–linear multivariate models with dy- namically evolving ...used models, including ...
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Semiparametric multivariate volatility models
... 5 Conclusions and outlook This paper shows that efficiency gains of semiparametric univariate volatility models over QMLE carry over to the multivariate case. We suggest two alternative types of ...
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Semiparametric multivariate volatility models
... 5 Conclusions and outlook This paper shows that efficiency gains of semiparametric univariate volatility models over QMLE carry over to the multivariate case. We suggest two alternative types of ...
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On the Univariate Representation of Multivariate Volatility Models with Common Factors
... some multivariate models accounting for co-movements and show that the implied marginal volatility processes are of low ...general multivariate framework, with correlated conditional variances ...
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Testing the Hypothesis of Contagion using Multivariate Volatility Models
... the models estimated in the null hypothesis and the ‘making’ of the crisis, since there exists a period that precedes the onset of the crisis, in which agents know about the high probability of a crisis and then ...
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Testing the Hypothesis of Contagion using Multivariate Volatility Models
... the models estimated in the null hypothesis and the ‘making’ of the crisis, since there exists a period that precedes the onset of the crisis, in which agents know about the high probability of a crisis and then ...
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Testing the Hypothesis of Contagion Using Multivariate Volatility Models
... some multivariate GARCH models described in the previous section to assess to what extent the ...make models, such as BEKK, even heavier and difficult to ...DCC-TT models offer this ...
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On Loss Functions and Ranking Forecasting Performances of Multivariate Volatility Models
... between models is generally pre- served and stable across frequencies with three striking ...DCC models with RM conditional variances rank 5th and 8th respectively at RCov 5m , but they rapidly climb ...
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Whittle estimation of multivariate exponential volatility models
... 3 Multivariate Volatility Models ...modelling volatility in a multivariate framework can lead to greater statistical ...random volatility has developed along two main lines of ...
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Specification Testing for Multivariate Time Series Volatility Models
... ABSTRACT Volatility models have been playing an important role in economics and ...and multivariate volatility models. Both GARCH models and stochastic volatility ...
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Multivariate Stochastic Volatility Models: Bayesian Estimation and Model Comparison
... study multivariate volatility ...the multivariate ARCH models (MARCH) have attracted a lot of attention in modern finance theory and enjoyed voluminous empirical ...
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Combination of multivariate volatility forecasts
... non-nested multivariate volatility ...the volatility predictions generated by different competing ...accurate volatility forecasts. The problem of model uncertainty in multivariate ...
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Essays on Multivariate Volatility Forecasting
... of multivariate volatility models, that is the comparison and ordering of sequences of variance ...the multivariate dimension the sufficient conditions that a loss function has to satisfy to ...
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Block Structure Multivariate Stochastic Volatility Models
... on multivariate models with milder restrictions, whose purpose was to combine the need for interpretability and efficiency faced by model users with the computational problems that may emerge when the ...
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