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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

environment, electricity price forecasting is an essential task for market participants. However, time series of electricity price … has complex behavior such as nonlinearity, nonstationarity, and high volatility. ARIMA is suitable in forecasting, but it … 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

اخلاقیات در چاپ پول

Firouzi Naeim, Peyman - 2010

I investigate the ethics of money production, consider theories of ethics which can cover my discussion and then I will have a look on the history of money production. Last part has been dedicated to adjust these two different fields and as conclusion, I found that: by definition in which we...

Persistent link: https://www.econbiz.de/10015236518