This paper employs a general non-linear analysis tool to analyse the nature of time series associated with the price (returns) of a particular company in Tehran Stock Exchange. It is shown that the behavior of the process associated with the price (returns) time-series of this company is weakly chaotic, and due to the non-random behavior of the process, short term prediction of stock price is p...

At the micro perspectives, many studies have identified total shipment quantity, wholesale price at previous day, national holiday effect, as the variables affecting the wholesale price level of stored apple. However, the report of production volume effect at a given year on wholesale price level from the point of macro perspectives in practice, especially in agricultural industry, has been rel...

The authors present an analytical model of a irst-price sealed-bid cattle auction in which a spot and coordinated markets are interconnected. The model reveals that the conventional wisdom that market coordination negatively affects the bid price in the spot market is an oversimpli ication. The relationships between key market variables impact bids and bid shading in complex ways. While captive...

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...

This paper employs a general non-linear analysis tool to analyse the nature of time series associated with the price (returns) of a particular company in Tehran Stock Exchange. It is shown that the behavior of the process associated with the price (returns) time-series of this company is weakly chaotic, and due to the non-random behavior of the process, short term prediction of stock price is p...

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In an in…nite horizon model with stochastic costs, moderate in‡ation, costly price adjustment, and optimal price setting, we demonstrate that individual price reductions will be larger but less frequent than price increases. With positive in‡ation, aggregate prices are more responsive to cost increases than to cost decreases, and a calibrated version of the model …ts well the magnitude of downw...

This study aims to estimate the function of copper consumption using the Johansen approach in time series data, between 1991-2011 in Iran. The literature review of specialized consumption and demand functions shows factors influencing the consumption of copper including copper price variables, aluminum price as a substitute commodity, oil price as a complementary commodity, and industrializatio...