Data Mining In Oil Price Time Series Analysis
نویسنده
چکیده
This paper sums up the applications of statistic models such as ARCH-family models, cointegration theory and Granger causality etc in oil price time series analysis and introduces the method of data mining combined with statistic knowledge to analysis oil price time series. In addition, the paper also explains advantages, functions, relevant technologies of this method and its potential applications in hedging the oil shock risk.
منابع مشابه
Forecasting Gold Price using Data Mining Techniques by Considering New Factors
Gold price forecast is of great importance. Many models were presented by researchers to forecast gold price. It seems that although different models could forecast gold price under different conditions, the new factors affecting gold price forecast have a significant importance and effect on the increase of forecast accuracy. In this paper, different factors were studied in comparison to the p...
متن کامل08 Effects of the Import of Consumption, Intermediate and Capital Goods on Transmission of Crude Oil Price Volatility to the Industry and Mining Sector in Iran
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 import, as an effective and affected variable from crude oil price, is separated to real import of consumpt...
متن کاملModeling and prediction of time-series of monthly copper prices
One of the main tasks to analyze and design a mining system is predicting the behavior exhibited by prices in the future. In this paper, the applications of different prediction methods are evaluated in econometrics and financial management fields, such as ARIMA, TGARCH, and stochastic differential equations, for the time-series of monthly copper prices. Moreover, the performance of these metho...
متن کامل08 Effects of the Import of Consumption, Intermediate and Capital Goods on Transmission of Crude Oil Price Volatility to the Industry and Mining Sector in Iran
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 import, as an effective and affected variable from crude oil price, is separated to real import of consumpt...
متن کاملInvestigation of the Relations between Crude Oil Prices and Real Effective Exchange Rate (REER) in Iran using Phase-Angle Analysis
Abstract: This paper discusses two topics. At first, it uses continuous wavelet (Morlet) transform, coherency, and phase angle analysis to study the effect of mean volatility in OPEC Crude Oil prices, WTI crude oil prices, Brent Crude oil prices and Iran’s crude oil prices on The Iran’s REER. To this end, the monthly data of the variables for years 2003 to 2012 is used. Coherency analysis rev...
متن کامل