-
101
The volatility of the stock market and financial cycle : GARCH family models
Published 2022“…The paper initially assesses several types of GARCH models’ criteria, namely the log-likelihood, AIC and BIC, in choosing the best model to illustrate the financial cycle. …”
Get full text
Article -
102
Comparing the accuracy of density forecasts from competing GARCH models
Published 2009“…We include an illustrative simulation to compare a set of distributions, including symmetric and asymmetric distribution, and a family of GARCH volatility models. Our results on simulated data show that the choice of the conditional distribution appears to be a more dominant factor in determining the adequacy and accuracy (quality) of density forecasts than the choice of volatility model.…”
Get full text
Article -
103
Garch models and distributions comparison for nonlinear time series with volatilities
Published 2023“…The models considered are the standard GARCH, Integrated GARCH (IGARCH), Exponential GARCH (EGARCH), and Golsten, Jagannathan, and Runkle GARCH (GJR-GARCH), each with normal distribution, Student’s t-distribution, and Generalized Error Distribution (GED). …”
Article -
104
Enhancing stock volatility prediction with the AO-GARCH-MIDAS model
Published 2024“…This study introduces this approach for the first time to generalized autoregressive conditional heteroskedasticity mixed data sampling (GARCH-MIDAS) models, so as to establish an additional outliers corrected GARCH-MIDAS model (AO-GARCH-MIDAS). …”
Get full text
Article -
105
Modelling the volatility of currency exchange rate using GARCH model
Published 2002“…This paper attempts to study GARCH models with their modifications, in capturing the volatility of the exchange rates. …”
Get full text
Article -
106
Forecasting currency in circulation in Malaysia using arch and garch models
Published 2018“…Two methods are considered, which are Autoregressive Conditional Heteroscedastic (ARCH) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH). Using the Root Mean Square Error (RMSE) as the forecasting performance measure, this study concludes that GARCH is a more appropriate model compared to ARCH.…”
Get full text
Article -
107
Traffic speed prediction using GARCH-GRU hybrid model.
Published 2023“…This paper presents a novel technique, termed as GARCH-GRU, based on additive decomposition that splits data into random (residual) and deterministic parts. …”
Article -
108
Application of Arima and Garch models in forecasting crude oil prices
Published 2009“…Finally, using several measures, comparison performances between ARIMA(1,2,1) and GARCH(1,1) models are made. GARCH(1,1) is found to be a better model than ARIMA(1,2,1) model. …”
Get full text
Thesis -
109
Modelling and forecasting volatile data by using ARIMA and GARCH models
Published 2013“…In terms of forecasting performances between ARIMA and GARCH models, it can be concluded that GARCH is a better model for kijang emas prices data while ARIMA is a better model for crude oil prices data.…”
Get full text
Thesis -
110
The performance of hybrid arima-garch modeling in forecasting gold price
Published 2013“…In the second phase, the GARCH is used to model the nonlinear patterns of the residuals. …”
Conference or Workshop Item -
111
-
112
-
113
-
114
-
115
-
116
ARIMA and symmetric GARCH-type models in forecasting Malaysia gold price
Published 2019“…The empirical results indicate that ARIMA(0,1,0) - standard GARCH(1,1) using t innovations is the most preferred ARIMA with symmetric GARCH-type model.…”
Get full text
Conference or Workshop Item -
117
Modelos ARCH, GARCH y EGARCH: aplicaciones a series financieras
Published 2008-08-01Subjects: “…modelos ARCH, GARCH y EGARCH, predicción.…”
Get full text
Article -
118
On Diagnostic Checking of Vector ARMA-GARCH Models with Gaussian and Student-t Innovations
Published 2013-04-01Subjects: Get full text
Article -
119
The application of the hybrid copula-GARCH approach in the simulation of extreme discharge values
Published 2022-11-01“…The results of simulations revealed that a higher accuracy of the copula-GARCH approach compared with two models copula and VAR-GARCH. …”
Get full text
Article -
120
Identifying the Role of Gold on Sustainable Investment in Indonesia: The DCC-GARCH Approach
Published 2021-08-01“…Therefore, the method used in this research, DCC-GARCH, was relaxing the basic assumptions in the theory of modern portfolio that is under the assumption of the normality of stock return and securities would have constant correlation. …”
Get full text
Article