Are the recessionary consequences of oil-price shocks due to oil-price shocks themselves or to contractionary monetary policies that arise in response to inflation concerns engendered by rising oil prices? Can systematic monetary policy be used to alleviate the consequences of oil shocks on the economy? This paper builds a dynamic general equilibrium model of monopolistic competition in which o...

The purpose of this study is to optimize the stock price forecasting model with meta-innovation method in pharmaceutical companies.In this research, stock portfolio optimization has been done in two separate phases.The first phase is related to forecasting stock futures based on past stock information, which is forecasting the stock price using artificial neural network.The neural network used ...

The extensive fluctuations in oil prices have vast impacts on economies. The economical instability may be observed for both oil-exporting and oil-importing countries due to high volatility of oil prices. Oil price data as a time series is a highly nonlinear system which exhibits complex patterns. Traditional oil time series analysis employs statistical methods to model and explain the oil data...

In a comment to our article entitled ‘‘Forecasting Pharmaceutical Prices for Economic Evaluations When There Is No Market: A Review’’, which was recently published in PharmacoEconomics Open [1], Holko stated that marketspecific aspects could affect efficiency of forecasting price using the price of a close substitute [2]. We thank the author for the comment on our article and agree that there a...

forecasting stock price had been paying attention to many analysts and stockholders. today, this issue more recent years has been do by new methods but new methods, good enough, not have analysis of description and changes effective variables on stock price whereas all this method rely on regression bases. ardl (autoregression distributed lag ) of one equation cumulative regression method obtai...

The purpose of this study is to develop a forecasting model of daily wholesale price with macro and micro variables for a shipment timing support system for stored apples based on the transaction quantity and the wholesale price information announced by Seoul Agricultural & Marine Products Corporation’s online system. This study identified two operational definitions for production volume and a...

Forecasting financial markets is an important issue in finance area and research studies. On one hand, the importance of prediction, and on the other hand, its complexity, have led to huge number of researches which have proposed many forecasting methods in this area. In this study, we propose a hybrid model including Wavelet Transform, ARMA-GARCH and Artificial Neural Network (ANN) for single-...

there are several researches that deal with the behavior of ses and their relationships with different economical factors. these range from papers dealing with this subject through econometrical procedures to statistical methods known as copula. this article considers the impact of oil and gold price on tehran stock exchange market (tse). oil and gold are two factors that are essential for the ...