GARCH family
Modeling and Forecasting USD/UGX Volatility through GARCH Family Models: Evidence from Gaussian, T and GED Distributions
... GARCH family models are not limited to forex markets, but also extend to stock markets in which they are used to model stylized facts similar to those of forex ...of GARCH family models to ...
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On the Performance of Garch Family Models in the Presence of Additive Outliers
... of GARCH family models. Consequently, some GARCH models are reviewed and the impacts of additive outliers on the GARCH models are ...the GARCH family models in the presence of ...
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Stock Market Volatility Analysis using GARCH Family Models: Evidence from Zimbabwe Stock Exchange
... Abstract:- Understanding the pattern of stock market volatility is important to investors as well as for investment policy. Volatility is directly associated with risks and returns, higher the volatility the more ...
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MODELING AND FORECASTING VOLATILITY OF PRICE INFLATION IN ETHIOPIA USING GARCH FAMILY MODELS
... After correctly fitting the conditional mean model, the residuals are tested for the existence of the ARCH effect. Lagrangian multiplier test statistics is applied in this study to test the conditional hetroscedasticity ...
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Volatility modelling of foreign exchange rate: discrete GARCH family versus continuous GARCH
... models GARCH, EGARCH and TGARCH are ...continuous GARCH that is the analogue of the discerete conditional variance model GARCH (COGARCH), is constructed on driving Levy ...
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THE EFFECT OF HIGH POSITIVE AUTOCORRELATION ON THE PERFORMANCE OF GARCH FAMILY MODELS
... multivariate GARCH, Stochastic volatitlity (SV) and various variants of the models have been proposed to handle volatility in financial time series (Lawrance, ...and GARCH models are now so widely used and ...
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Volatility and Long Term Relations in Equity Markets: Empirical Evidence from Germany, Switzerland, and the UK
... Stock returns show evidence of volatility clustering, that is great changes in returns tend to be followed by great changes and small changes by small changes. This means that the variance tends to change over time. In ...
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Estimating Financial Volatility with High-Frequency Returns
... the GARCH family models and the stochastic volatility ...model family, our paper only investigates the frameworks most directly designed to incorporate these four stylized ...
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Which Model Performs Better While Forecasting Stock Market Volatility? Answer for Dhaka Stock Exchange (DSE)
... On this background already an enormous amount of effort has been made from the researchers to model the variance dynamics of stock market return and its different characteristics in Bangladesh [6]-[15]. Some of them have ...
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Symmetric and asymmetric garch models for forecasting the prices of gold
... the GARCH family ...asymmetric GARCH models which include EGARCH, TGARCH, PGARCH, GARCH and ...of GARCH model in capturing volatility information in forecasting volatile time ...
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Modelling and forecasting exchange rate of US dollar against Malaysian ringgit using hybrid ARIMA-GARCH and ARIMA-EGARCH models
... and GARCH family models in modelling and forecasting volatile data by using E-Views ...software. GARCH family models can be divided into two groups which are symmetric and ...symmetric, ...
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Filtered Extreme Value Theory for Value At Risk Estimation
... of GARCH, GARCH with student-t distribution, GARCH with skewed student-t distribution and FIGARCH by using alternative back-testing algorithms, namely, Kupiec test (1995), Christoffersen test (1998), ...
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Comparison of option pricing between ARMA-GARCH and GARCH-M models
... between GARCH / TGARCH-M and ARMA-GARCH / TGARCH ...that GARCH models driven by z-distributed innovations perform better in fitting financial ...
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Measuring the Forecast Performance of GARCH and Bilinear-GARCH Models in Time Series Data
... are GARCH and Bilinear-GARCH, Monthly inflation rates of Botswana from 1978 to 2012 were used for empirical ...stationary. GARCH (1,1) and Bilinear-GARCH (1,1) was fitted to the model and ...
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Optimally harnessing inter-day and intra-day information for daily value-at-risk prediction
... Location-scale VaR models can easily make use of different information sets via the conditional volatility component. This paper is concerned with two specific types of information, inter-day, which is defined as ...
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Volatility Modelling using Arch and Garch Models (A Case Study of the Nigerian Stock Exchange)
... Among these models, the Autoregressive Conditional Heteroskedasticity (ARCH) model proposed by Engle [2] and its extension, the Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model byBollerslev ...
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Construction of stationary time series via the Gibbs sampler with application to volatility models
... In this paper we focus on a general method for constructing stationary time series models with marginals of choice. The construction of such time series is based on the Gibbs sampler. Although principally used for ...
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Asymptotic Theory of General Multivariate GARCH Models
... In this section, we focus on the univariate GARCH model (1.3). In the model definition, we assume that the innovations have unit variance. However, in prac- tice, in order to improve the goodness-of-fit, we may wish ...
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Examining the Value-at-risk Performance of Fractionally Integrated GARCH Models: Evidence from Energy Commodities
... to the squared return series using 12 lags. Both tests indicate that the return series have strong ARCH effects. To examine whether the energy commodity return series are stationary, the augmented Dickey and Fuller ...
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... symmetric GARCH model, the study shows that the sum of ARCH and GARCH coefficients is higher in the pre-break period compared to the post-break period, thus indicating that persistence of shock to ...
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