HAR-RV-X models using time-varying correlations
Overnight Stock Returns and Time-varying Correlations
... the correlations of overnight stock ...conditional correlations of the stock returns during non-trading hours should be lower than the conditional correlations of the returns during trading ...return ...
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Market conditions and time varying conditional correlations
... analyses using our GARCH model approach for the time-varying joint behavior reveal that this effect is secondary in importance to volatility as a driver of ...that time-varying ...
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A Multivariate GARCH Model with Time-Varying Correlations
... with time- varying ...the varying-correlation MGARCH ...for time-varying correlations provides some interesting time histories that are not available in a ...
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Multivariate option pricing with time varying volatility and correlations
... 5.1.2 Pricing results In order to perform option pricing with the above models the appropriate risk neutral dy- namics have to be derived. However, this is easily done for the model considered here and the result ...
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Multivariate Option Pricing with Time Varying Volatility and Correlations
... 5.1.2 Pricing results In order to perform option pricing with the above models the appropriate risk neutral dy- namics have to be derived. However, this is easily done for the model considered here and the result ...
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Time-varying Correlations of Russian and U.S. Equity Returns
... the correlations with the three independent variables are given in table ...the correlations, while the change in energy price had a negative effect of the ...interpreted using the volatility ...
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Multivariate Option Pricing With Time Varying Volatility and Correlations
... In order to perform option pricing with the above models the appropriate risk neutral dy- namics have to be derived. However, this is easily done for the model considered here and the result is given in (17), ...
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Identification of time-varying systems using multiresolution wavelet models
... systems; time-varying systems; identification; wavelets ...including time-frequency representations (Jones and Parks 1992, Sattar and Salomonsson 1999, Potamianos and Maragos 2001), ...
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Time-varying Models for Macroeconomic Forecasts
... paradigm using Gibbs sam- pling and the Metropolis-Hasting algorithm, which are powerful data-based MCMC methods for simulating the joint distributions of interest with suitable convergent ...approach using ...
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Analysis of time varying parameter models
... 3.3 A s y m p t o t i c Pro p e r t i e s o f Spectral E s t i m a t o r s Our purpose in the present section is to suggest a computationally feasible estimation procedure which yields an asymptotically efficient ...
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Forecasting tourist arrivals using time-varying parameter structural time series models
... With regard to the unobserved components, including the trend, seasonal, cycle and irregular components, it is useful to run BSMs to examine the properties (i.e. stochastic versus deterministic processes) of these ...
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Economic Factors Contributing to Time Varying Conditional Correlations in Stock Returns
... In addition to these data, we consider the absolute value of deviations from the covered interest parity (CIP) condition as a proxy for capital market openness. To our knowledge, this is the first study using this ...
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Economic Factors Contributing to Time-Varying Conditional Correlations in Stock Returns
... In addition to these data, we consider the absolute value of deviations from the covered interest parity (CIP) condition as a proxy for capital market openness. To our knowledge, this is the first study using this ...
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Time-Varying EEG Correlations Improve Automated Neonatal Seizure Detection
... experts using measures of IOA to determine its ...evaluated using bootstrap estimates of the differences in Fleiss’ kappa (κ) between an ’all hu- man’ annotation (three human experts) and a com- posite ...
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Hierarchical Shrinkage in Time-varying Parameter Models
... results using both the h = 1 and h = 12 ...of time-variation in coefficients and even a small amount of monthly time-variation can lead to a large degree of change in ...
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Hierarchical shrinkage in time varying parameter models
... that using the Lasso on the time-varying coefficients leads to substantive forecast im- provements over unrestricted TVP models for h = ...
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Hierarchical Shrinkage in Time-Varying Parameter Models
... that using the Lasso on the time-varying coefficients leads to substantive forecast im- provements over unrestricted TVP models for h = ...
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Hierarchical shrinkage in time-varying parameter models
... simply using an intercept, the monthly dummies and p = ...that using the Lasso on the time-varying coefficients leads to substantive forecast improvements over unrestricted TVP models ...
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Time-varying sparsity in dynamic regression models
... DR models with a large number of potential ...are: Time Varying Dimension (TVD) models (Chan et ...(BMA) using a g-prior for ...
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Time Varying Spatio-temporal Covariance Models
... where h = ks 1 − s 2 k, u = |t 1 − t 2 |, ν > d/2 and α, β, σ 2 > 0. The estimated parameters of the covariance function (10) can be found in Ip (2015, Ch. 2). Here, we discuss the performance of interpolation in ...
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