Copula-based Time Series (Review)
Forecasting Volatility with Copula-Based Time Series Models
... Figure 1 shows the time series of the realized range RR M t obtained from (8), converted to annualized volatility in percentage points. While the level of volatility is rather low at approxi- mately 4 ...
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Goodness-of- fit tests for multivariate copula-based time series models
... moments based on inversion of Spearman’s rho or Kendall’s tau (Berg and Quessy, 2009), minimum dis- tance type estimators (Tsukahara, 2005) or the pseudo-maximum-likelihood estimator (Genest et ...are based ...
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Copula-Based Models for Financial Time Series 1
... and copula-based modelling is of course no ...of copula-based models takes two broad ...the copula-based multivariate density model in its entirety, and thus requires methods for ...
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Estimation of Copula-Based Semiparametric Time Series Models
... Simulating Copula-Based Time Series Models Figure 1 presents time series plots and the corresponding scatter plots of realizations of three time series models with ...
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Copula-Based Dependence Characterizations and Modeling for Time Series
... on copula-based time series characterizations and ...discusses copula inversion methods for their ...in time series and stochastic ...which copula-based ...
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A review of copula models for economic time series
... of copula theory and applications have appeared in the literature to ...on copula theory, providing clear and detailed introductions to copulas and dependence modeling, with an emphasis on statistical ...of ...
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Copula-based fuzzy clustering of spatial time series
... Different simulation studies and a real case study have been presented to illustrate the usefulness and effectiveness of the suggested clustering method for spatial-time series. In particular, the findings ...
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Copula-based semiparametric models for multivariate time series
... the copula-based univariate time series modeling approach of Chen & Fan ...of copula-based semiparametric time series models, ...semiparametric ...
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Extreme value copula estimation based on block maxima of a multivariate stationary time series
... multivariate time series, nothing has been done in this direction yet, up to the best of our ...limit copula of the vector of componentwise block maxima when the block size tends to ...multivariate ...
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A new multivariate nonlinear time series model for portfolio risk measurement: the threshold copula-based TAR approach
... The Copula-TAR approach provides an intuitive way to incorporate structural changes in the dependent structure of nancial time series that may be attributed to nancial crises or asset ...threshold ...
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Copula-based stochastic modelling of evapotranspiration time series conditioned on rainfall as design tool in water resources management
... of copula-based frequency analysis, was given throughout two studies in Chapter 3 in which a bivariate frequency analysis was implemented to study the meteorological drought return period for Uccle (study ...
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Model assessment for time series dynamics using copula spectral densities:A graphical tool
... of time series models, but their applicability is seriously impacted by the limitations of covariances as a measure of ...are based on copulas instead of covariances, we propose a novel graphical ...
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Long-term and high-resolution global time series of brightness temperature from copula-based fusion of SMAP enhanced and SMOS data
... moisture time series at adequate spatial resolution are key to foster the application of soil moisture observations and remotely-sensed products in climate and numerical weather prediction ...shorter ...
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Risk Correlation Based on Time Varying Copula Function and Extreme Value Theory
... a series of financial crises, starting with the American subprime mortgage crisis, followed by the European sovereign debt caused by the financial crisis in Greece, and culminating in the global dramatic decrease ...
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Data on copula modeling of mixed discrete and continuous neural time series
... t Copula is an important tool for modeling neural ...on copula has been expanded to jointly model mixed time series in neuroscience (“Hu et ...using Copula ” ...our copula model ...
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Copula Model Selection of Stock Return Time Series Using Information Complexity
... the copula models to study the dependency structure between the ...well-known copula models to the portfolio of the stock return price dataset using consistent information complexity (CICOMP) criterion ...
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CiteSeerX — A Copula-Based Model of Speculative Price Dynamics in Discrete Time
... of copula functions, in the spirit of Darsow et ...of copula functions representing dependence between each increment of the process and the correspond- ing level of the process before the ...discrete ...
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Testing independence based on Bernstein empirical copula and copula density.
... tests based on Bernstein empirical copula ...Bernstein copula density estimator and derived its asymptotic properties under dependent ...Bernstein copula density in the construc- tion of our ...
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Copula Link-Based Additive Models for Right-Censored Event Time Data
... 2-dimensional copula function with coefficient θi = m {η3i(x3i; β3)} capturing the (possibly varying) condi- tional dependence of (T1i , T 2i ) across observations ...of time (or a stratified set of ...
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Landslide Density Based on TIME Series
... analysis based on a temporal landslide distribution over three different years was conducted in Kundasang, Sabah, ...analysis based on temporal landslide ...identified based on aerial photographs ...
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