GARCH-type models
Efficient Bayesian estimation and combination of GARCH type models
... simple GARCH specifications, this be- comes a real burden for sophisticated and highly parametrized GARCH-type ...the models need to be estimated many times on a large number of times ...of ...
23
Asymmetric GARCH type models for asymmetric volatility characteristics analysis and wind power forecasting
... the GARCH type models are employed to explore the asymmetric features of wind power time series and improved forecasting ...the GARCH-type models in depicting time-varying ...
11
A Comparison of Conditional Volatility Estimators for the ISE National 100 Index Returns
... 1000 GARCH type models in terms of their ability to fit to the historical data and to forecast the conditional variance in an out- of-sample ...used GARCH(1,1) model performs well, it is still ...
30
Hedging Strategy Using Copula and Nonparametric Methods: Evidence from China Securities Index Futures
... Bivariate GARCH-type models are also popular to be modeled the dynamic optimal hedge ratio (Cecchetti et ...these models cannot capture the phenomenon of the symmetry and nonlinear dependence ...
15
How efficient the GARCH type volatility models are? Evidence from Dhaka Stock Index
... volatility models must have the ability to forecast future ...volatility models must have the capacity to capture stylized factors of volatility ...volatility models immediately after the development ...
10
Application of Arima and Garch models in forecasting crude oil prices
... Chapter 2 reviews crude oil prices in forecasting. First, crude oil prices will be reviewed. Then, the volatility in crude oil prices will be discussed. The discussions start on the past researchers’ work in Box-Jenkins ...
25
Symmetric and asymmetric garch models for forecasting the prices of gold
... Through a case study, the ARCH model is investigated to ascertain its potential in modeling volatility. The guidelines for choosing and evaluate GARCH- type models will be developed. These guidelines ...
28
Garch Models in Value-At-Risk Estimation for REIT Ya-Ping Yuan 1, Jiong Sun2 , Hong-Kun Zhang 3
... We used the autoregressive model to filter out the autocorrelation of the REIT in this paper. According to the graphs of ACF and PACF, we finger out that AR(1) model to calculate the mean of the time series. Following ...
10
Asymptotic Theory for GARCH-in-mean Models
... of GARCH-type models has thus attracted a great amount of ...ARCH models under the assumption that the process has finite moments up to the 4th ...of GARCH(1, 1) based on a re-scaled ...
152
Forecasting Daily Stock Volatility Using GARCH CJ Type Models with Continuous and Jump Variation
... for GARCH-CJ-type models are smaller than that of both GARCH- RV and GARCH type models ...the GARCH-CJ-type models perform better than their ...
13
Evaluation Approaches of Value at Risk for Tehran Stock Exchange
... all GARCH type models of parametric approach under normal distribution and Riskmetrics model under student-t ...volatility models including GARCH, AGARCH, EGARCH, NARCH, NAGARCH and ...
22
Presenting a Model for Multiple-Step-Ahead-Forecasting of Volatility and Conditional Value at Risk in Fossil Energy Markets
... regression models of 2000 observations from October 11, 2005 to July 1, ...memory GARCH-type models (FIGARCH, HYGARCH, and ...using GARCH-type models ...
12
Forecasting Volatility of Gold Price Using Markov Regime Switching and Trading Strategy
... adopts GARCH type and MRS-GARCH models to estimate the volatility of the gold ...in GARCH type models are highly sig- nificant at ...volatility models show dif- ...
11
Effective energy commodities’ risk management: Econometric modeling of price volatility
... the GARCH type models that are being analyzed and presented so far in the paper refer to single-regime ...traditional GARCH model of Bollerslev (1986), developing a new hybrid model that has ...
50
Semiparametric Estimation of Multivariate GARCH Models
... univariate GARCH models, for actual and suitably transformed series, in the first step; the latter are then nonlinearly combined in the second step, according to basic properties of the covariance and ...
7
Tests for sphericity in multivariate garch models
... Tests for sphericity in multivariate garch models Francq, Christian and Jiménez Gamero, Maria Dolores and Meintanis, Simos.[r] ...
42
Forecasting Performances of GARCH Families of Models
... . In the equation-4, when p=0, the GARCH (0,q) model becomes equation-2 which is the original model derived by Engle. Hence, equation-2 and 4 are referred to as ARCH (q) and GARCH (p,q) variance ...
7
Measuring the Effectiveness of VaR in Indian Stock Market
... On the other hand, there are very few studies such as Samanta.G. P and Thakur.S.K (2006)Tripathi, V., & Aggarwal, S. (2007) to compare the various VaR models in developing financial markets especially to the ...
9
Measuring the Forecast Performance of GARCH and Bilinear-GARCH Models in Time Series Data
... fitted GARCH (1,1) and BL- GARCH (1,1) models for the inflation rates has investigated shows that out-of-sample forecast performance for classical GARCH model for the inflation rate series ...
7
Comparison of option pricing between ARMA-GARCH and GARCH-M models
... threshold GARCH model family, a group of asymmetric models are constructed by including a leverage e ff ect in the variance ...z-TGARCH models (their conditional variance follow TGARCH model, in- ...
78