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بررسي عوامل موثر بر قيمت طلا و ارايه مدل پيش بيني قيمت آن به كمك شبكه هاي عصبي فازي

Sarfaraz, Leyla; Afsar, Amir - 2005

Throughout the history man has considered gold as a precious metal and its forcast has always been important. Traditional methods of forcast, e.g.Regresion, ARIMA, Exponential Smoothing, Moving Average, and methods of this kind have been applied. Only recently Artificial Intelligence, Neural...

Persistent link: https://www.econbiz.de/10015225469

Day-ahead electricity price forecasting with emphasis on its volatility in Iran (GARCH combined with ARIMA models)

Pourghorban, Mojtaba; Mamipour, Siab - 2019

This paper provides a method to forecast day-ahead electricity prices based on autoregressive integrated moving average … 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 …

Persistent link: https://www.econbiz.de/10015264450

Estimation of Fractal Parameters of Tehran Stock Market Groups Time Series Using Discrete Wavelet Transform

Golmohammadpoor Azar, Kamran - 2014

Nowadays financial markets such as stock markets, gold and currency because of their significant returns are the investors’ main target. Their aim is to invest in a way that they can earn the highest profit. Among these markets, the stock market is of utmost importance since it deals with...

Persistent link: https://www.econbiz.de/10015244159

بحران مالی جهانی و شکست الگوی سرمایه‌داری نئو لیبرال یا آمریکائی

Vahabi, Mehrdad - 2008

The paper first investigates the causes of the recent financial and liquidity crisis in the US and all over the world as a preliminary phase of the imminent recession. It then questions Paulson-Bernanke’s plan as a solution to the crisis and ponders over the differences between EU plan and the...

Persistent link: https://www.econbiz.de/10015215530