Showing 1 - 4 of 4
has complex behavior such as nonlinearity, nonstationarity, and high volatility. ARIMA is suitable in forecasting, but it … is not able to handle nonlinearity and volatility are existent in time series. Therefore, GARCH models are used to handle … volatility in the in time series forecasting. The proposed method is computed using the daily electricity price data of Iran …
Persistent link: https://www.econbiz.de/10015264450
This paper investigates the impact of the crude oil price uncertainty on the growth of Industry and Mine sector in Iran over the period of 1367:1 to 1389:4. We applied Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) Model to generate the crude oil price uncertainty...
Persistent link: https://www.econbiz.de/10015256117
In this research, the DCC model is estimated to calculate dynamic correlation series between crude oil price and growth of Industry and Mine sector during 1367:1-1392:4. Then, Macroeconomic variables which can explain the dynamic correlation are analyzed as variables of contagion. So, the...
Persistent link: https://www.econbiz.de/10015256121
This paper evaluates dynamic correlation between growth of Industry and Mine sector and crude oil price in Iran over the period of 1367:1 to 1389:4, with emphasis on the origin of oil price shocks. We apply Dynamic Conditional Correlation (DCC) model to estimate dynamic correlation. Our results...
Persistent link: https://www.econbiz.de/10015256130