exponential GARCH
Stock Market Volatility and Macroeconomic Variables Volatility in Nigeria: An Exponential GARCH Approach
... a GARCH model with a small number of terms seems to perform better than an ARCH model with many ...the GARCH model can capture this asymmetry or lopsidedness. The exponential GARCH (EGARCH) ...
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Bayesian analysis of realized matrix-exponential GARCH models
... matrix-exponential GARCH models. For any square matrix, A, the matrix- exponential transformation is defined by Exp(X) = ∑ ∞ i=0 (1/i!)A i , with A 0 = I ...
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Bayesian Analysis of Realized Matrix-Exponential GARCH Models
... on GARCH models, Engle and Gallo (2006) and Shephard and Sheppard (2010), among others, incorporated realized measures for modeling and forecasting ...realized GARCH framework, which pro- vides a structure ...
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Stock Market Volatility and Macroeconomic Variables Volatility in Nigeria: An Exponential GARCH Approach
... using exponential generalized autoregressive conditional heteroskedasticity (EGARCH) and lag-augmented VAR (LA-VAR) models and found evidence that there is a bilateral relationship between inflation and stock ...
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On the Invertibility of EGARCH(p,q)
... the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, ...
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On the Invertibility of EGARCH(p,q)
... the exponential GARCH (or EGARCH) model of Nelson (1990, 1991), and the GJR (alternatively, asymmetric or threshold) model of Glosten, Jagannathan and Runkle ...
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On the Invertibility of EGARCH
... the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, ...
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Garch models without positivity constraints: exponential or log garch?
... (1986), GARCH models have attracted much attention and have been widely investigated in the liter- ...(Exponential GARCH) introduced and studied by Nelson (1991) is very popu- ...
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On the Invertibility of EGARCH
... the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, ...
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On the Invertibility of EGARCH
... the exponential GARCH (or EGARCH) specification can capture asymmetry, which refers to the different effects on conditional volatility of positive and negative effects of equal magnitude, and leverage, ...
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Accounting Information and Stock Volatility in the Nigerian Capital Market: A Garch Analysis Approach.
... asymmetric GARCH methodology to examine the effect of stock market liberalization on stock returns volatility of fifteen emerging markets, including Nigeria for the period December 1984 to March ...the ...
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Modeling and Forecasting Volatility of the Malaysian and the Singaporean stock indices using Asymmetric GARCH models and Non-normal Densities
... Modeling financial time series is not an easy task because they possess some special characteristics (see Ruey S. Tasy (2002)). They often exhibit volatility clustering (i.e. large changes tend to be followed by large ...
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Advances in Statistical Forecasting Methods: An Overview
... result. GARCH model with normal error distribution fails to capture asymmetric behavior of financial returns and therefore to improve volatility forecasting performance, some GARCH models were introduced by ...
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Speculate a lot
... To determine the effects of housing cooling measures on the volatility of the carpark market, one standard approach is to use generalized autoregressive conditional heteroskedasticity (GARCH) model (Bollerslev, ...
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Forecasting Volatility and Price of the SET50 Index Using the Markov Regime Switching
... the GARCH type models was started by Engle ...The Exponential GARCH (EGARCH) model proposed by Nelson (1991) to cope with the skewness of ten encountered in financial returns, led to the ...
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Exploring oil price – exchange rate nexus for Nigeria
... the period 2007-2010 using daily data. The generalised autoregressive conditional heteroscedasticity (GARCH) and exponential GARCH (EGARCH) models are employed to examine the impact of oil price ...
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Symmetric and asymmetric garch models for forecasting the prices of gold
... of GARCH to capture volatility, how far can GARCH models and its extension, namely Exponential GARCH (EGARCH), Threshold GARCH (TGARCH), Power GARCH (PGARCH) and ...
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Volatility estimation using support vector machine: Applications to major foreign exchange rates
... MLE-based GARCH forecast using the support vector machine ...models: exponential GARCH (E-GARCH) and Glosten-Jagannathan-Runkle GARCH ...series; GARCH; E-GARCH; ...
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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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Volatility persistence in crude oil markets
... Outlier-adjusted data. For the Brent return series, the short-memory (GARCH model) appears to be the most relevant to fit the data (Table 7). Consequently, the effect of a volatility shock vanishes over time at an ...
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