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 ...

In this paper, we develop an inventory model under a stock-dependent demand rate and stockdependent holding cost rate with relaxed terminal conditions. Shortages are allowed and partially backlogged in the model. The purpose of this study is to determine the optimal order quantity and the ending inventory level such that the total profit per unit time is maximized for the retailer. We first est...

the prime objective of the study is to identify the long-run and short-run relationship between indian stock price viz., bse sensex (hereafter named as bse) and gold price (gold) in india. the daily closing price data were collected for the period of ten years ranging from 1st april 2004 to 31st march 2014 with 2490 observations. the study employed two models: model one used gold as dependent v...

U sing daily data, this study examined asymmetric pass-through of Iran’s oil price to banking stock index in Tehran Stock Exchange at different time horizons. Based on the results, the coefficient of long-run pass-through of oil price to banking stock index was estimated to be 0.63. Furthermore, based on the short-term ARDL-CECM models, the relationship between the positive component...

Managers are responsible for providing financial statements and they might try to make a good picture of their firm's conditions. Therefore, they try to delay the disclosure of bad news and release the good news as soon as possible. The ten-dency of managers toward hiding bad news increases the stock price crash risk. The protection of investor is one of the factors that can prevent from fallin...

The purpose of this research is predicting the stock prices using the Particle Swarm Optimization Algorithm and Box-Jenkins method. In this way, the information of 165 corporations is collected from 2001 to 2016. Then, this research considers price to earnings per share and earnings per share as main variables. The relevant regression equation was created using two variables of earnings per sha...

Stock prices in each industry are one of the major issues in the stock market. Given the increasing number of shareholders in the stock market and their attention to the price of different stocks in transactions, the prediction of the stock price trend has become significant. Many people use the share price movement process when com-paring different stocks while investing, and also want to pred...

This paper investigates the implications of an intertemporally dependent demand structure in the market for an exhaustible resource. The demand structure is derived endogenously in a partial equilibrium model where price-taking users combine the resource with capital to produce final output. It is shown that, when demand for the resource is modelled explicitly as a derived demand, the common as...