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Volatility Analysis of Web News and Public Attitude by GARCH Model
Web News Public Attitude Volatility Analysis GARCH Model
2013/2/20
GARCH (Generalized Auto-Regressive Conditional Heteroskedasticity) model proposed by Professor Engle is successful to analyze the volatility of stock price. In this paper GARCH model is used to analyz...
Realized Wavelet Jump-GARCH model: Can wavelet decomposition of volatility improve its forecasting?
wavelet decomposition jumps volatility forecasting Realized GARCH
2012/4/28
In this paper, we propose a forecasting model for volatility based on its decomposition to several investment horizons and jumps. As a forecasting tool, we utilize Realized GARCH framework of Hansen e...
Air Quality Time Series Based GARCH Model Analyses of Air Quality Information for a Total Quantity Control District
GARCH Time series Air quality total quantity control district Impact response analyses Air pollution
2016/3/25
Air quality data collected at 8 monitoring stations located in the central Taiwan Air Quality Total Quantity Control
District were analyzed using multivariate statistical factor analyses. Based on th...
Bayesian estimation of GARCH model with an adaptive proposal density
Bayesian estimation GARCH model adaptive proposal density
2011/1/4
A Bayesian estimation of a GARCH model is performed for US Dollar/Japanese Yen exchange rate by the Metropolis-Hastings algorithm with a proposal density given by the adaptive construction scheme. In ...
CHANGES OF STRUCTURE IN FINANCIAL TIME SERIES AND THE GARCH MODEL
integrated periodogram spectral distribution functional central limit theorem Kiefer-Muller process Brownian bridge sample autocorrelation change point GARCH process long range dependence IGARCH non-stationarity
2009/2/26
In this paper we propose a goodness of fit test that checks the resemblance of the spectral density of a GARCH process to that of the log-returns. The asymptotic behavior of the test statistics are gi...
Markov Chain Monte Carlo on Asymmetric GARCH Model Using the Adaptive Construction Scheme
Markov Chain Monte Carlo Bayesian inference
2010/11/2
We perform Markov chain Monte Carlo simulations for a Bayesian inference of the GJR-GARCH model which is one of asymmetric GARCH models. The adaptive construction scheme is used for the
construction ...
An Adaptive Markov Chain Monte Carlo Method for GARCH Model
Chain Monte Carlo Bayesian inference GARCH model Metropolis-Hastings algorithm
2010/10/29
We propose a method to construct a proposal density for the Metropolis-Hastings algorithm in Markov Chain Monte Carlo (MCMC)simulations of the GARCH model. The proposal density is constructed adaptive...