Coefficients for Irregular Daily Variation Models
Forecasting Daily Stock Volatility Using GARCH CJ Type Models with Continuous and Jump Variation
... EGARCH-type models are estimated over the first 195,264 observations of the full sample, ...GARCH-CJ-type models are smaller than that of both GARCH- RV and GARCH type models ...GARCH-CJ-type ...
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Bayesian Asymptotics: Inverse Problems and Irregular Models
... semiparametric, irregular estimation problems, through a study of the Bernstein–von Mises ...bounded variation, supported on the half-line [θ, ∞) or on the interval [0, θ], with a finite jump at θ, is ...
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Identification and Estimation of 'Irregular' Correlated Random Coefficient Models
... In Section 4 we use our methods to estimate the average elasticity of calorie demand with respect to total household resources. Our sample is drawn from a population that participated in a pilot of the Nicaraguan ...
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Semiparametric estimation of random coefficients in structural economic models
... Identification of f θ|W depends on injectivity of S| D which, in turn, depends on the exogenous variation in Z. The estimation procedure for this case is the same as that one proposed in Section 5 with the ...
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Stock Return Prediction with Fully Flexible Models and Coefficients
... the coefficients are the top three obstructing factors in forecast ...in coefficients is small and uncertainty regarding the degree of time-variation in forecasting models only appears in the ...
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Long term variation in the upper atmosphere as seen in the geomagnetic solar quiet daily variation
... correlation coefficients between the absolute value of the magnetic field inclination and residual Sq amplitude showed that the signs of the coefficients were different for different geomagnetic stations ...
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Long-term variation in the upper atmosphere as seen in the geomagnetic solar quiet daily variation
... correlation coefficients between the absolute value of the magnetic field inclination and residual Sq amplitude showed that the signs of the coefficients were different for different geomagnetic stations ...
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A conditionally heteroskedastic model with time varying coefficients for daily gas spot prices
... GARCH models, the conditional kurtosis coefficient, defined as the ratio of the fourth-order conditional moment on the squared conditional variance, is constant and is equal to the kurtosis κ η of the independent ...
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A Conditionally Heteroskedastic Model with Time-varying Coefficients for Daily Gas Spot Prices.
... GARCH models of Engle (1982) and Bollerslev (1986), which ar- guably constitute the most important class of models for financial data may be inadequate for energy ...pronounced daily seasonal ...
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Can scale and coefficient heterogeneity be separated in random coefficients models?
... definition induce a particular correlation structure in the marginal utilities, which are given by θ = αβ. Now, let us contrast two separate approaches. The first approach makes use of the specification from Equation 2 ...
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Auto dependence structure of arch models: tail dependence coefficients
... the daily returns of an investment portfolio, the (unconditional) daily value-at-risk at a confidence level of 1 − α is simply the (absolute value of) the lower α-th quantile of X n ...α, daily ...
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Inference of high-dimensional linear models with time-varying coefficients
... temporal variation on small timescales [CITE], and many treatments for Parkinson’s disease are evaluated by medical professionals based on changes to a subject’s connectivity ...
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Identifying Taste Variation in Choice Models
... signed coefficients using log- normal distributions but this restriction reduces the overall goodness of fit and given that only a small proportion of the data showed counter intuitive responses the normally ...
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Mean-field stochastic differential equations with irregular coefficients
... drift coefficients. More precisely, we consider drift coefficients that are merely measurable in the spatial variable as opposed to the frequently used assumption of (Lipschitz) ...
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Stochastic flows of SDEs with irregular coefficients and stochastic transport equations
... Abstract In this article we study possibly degenerate stochastic differential equations SDEs with irregular or discontinuous coefficients, and prove that under certain conditions on the [r] ...
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Strong completeness for a class of stochastic differential equations with irregular coefficients
... If the SDE is strongly complete, the corresponding stochastic dynamics has the per- fect cocycle property, which is often the basic assumption in the study of stochastic dynamical systems. Continuous dependence on the ...
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Non-storm irregular variation of the st index
... a variation with a time scale of about one month, we assume that the number of independent data is about 96 (12 months for each of eight years from 1996 to ...
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On the terms of geomagnetic daily variation in Antarctica
... the daily magnetic variations recorded at an Antarctic ground observatory, we have found that for X, Y and Z magnetic field components the main con- tribution to the polar daily variation comes from ...
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Statistical Inference on the Ratio of Delta-Lognormal Coefficients of Variation
... of variation is useful to measure and compare the dispersion of the data when different units are used in different ...independent coefficients of variation with delta-lognormal ...delta-lognormal ...
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Robust asymptotic tests for the equality of multivariate coefficients of variation
... S. Aerts · G. Haesbroeck the date of receipt and acceptance should be inserted later Abstract In order to easily compare several populations on the basis of more than one feature, multivariate coefficients of ...
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