the goal of this research is to predict total stock market index of tehran stock exchange, using the compound method of arima and neural network in order for the active participations of finance market as well as macro decision makers to be able to predict trend of the market. first, the series of price index was decomposed by wavelet transform, then the smooth's series  predicted by using...

Restructuring in electric power sectors took a significant step backward in the summer of 2000 when wholesale and retail markets in California experienced staggering price increases that continued through June of 2001. During this period, California suppliers neared bankruptcy and one went into bankruptcy, as did the state’s cornerstone market institution, the California Power Exchange. While t...

The aim of this annual workshop is to offer a forum for young researchers from the field of International Economics to present and to discuss their current topics of research with other experts. The workshop also provides the opportunity to gain an overview of recent developments, problems and methodological approaches in this field. The aim of this paper is to investigate the market efficiency...

considering the current upward drift in farm use all over the world, the russian agro-food market has immense possibilities to create such economic conditions under which the farming sector could develop dynamically. the increase in the grain production is of crucial importance for all agricultural branches. in this respect, the grain sector is russia’s strategically significant economic segmen...

In this paper, we model the community question answering (CQA) websites on Stack Exchange platform as knowledge markets, and analyze how and why these markets can fail at scale. Analyzing CQA websites as markets allows site operators to reason about the failures in knowledge markets, and design policies to prevent these failures. Our main contribution is to provide insight on knowledge market f...

in this article, demand equations for import of consumer, intermediate and capital goods for the period 1971(2) to 1999(1), is estimated and analyzed, using the ardl pesaran & shin method. the results show that the behavior of the different categories of imported goods in iran is best explained by the parallel market exchange rate, implying this rate is a closer approximation fir the opportunit...

This paper empirically investigates the exchange rate effects of Iranian Rial against Dollar (Rial vs.US) on stock prices in Iran. The sample period for the study has been taken from March 20, 2004 to March 20, 2010 using daily nominal exchange rate of Rial /us and daily closing values of Tehran Stock Exchange. Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model has been use...