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...

While the relationship between stock market return and oil price is of great interest to researchers, previous studies do not investigate stock market return with petrochemical products market. In this paper, we analyzed the relationship between prices of main petrochemical products and stock returns of petrochemical companies in Tehran stock exchange. Using a panel data model and GLS estimatio...

The stock market is forward looking; economic indicators and important future events are factored into stock prices. According to the Efficient Market Hypothesis†, markets operate efficiently and stock prices instantly and stock prices instantly reflect all information available. However, inefficiencies in the stock market exist due to the behaviors and expectations of investors. Stock prices m...

Teleology comes from the Greek term telos, in English purpose. According to Aristotle, each object has a final purpose for its being. Human knowledge is also associated with such a purpose. The teleological analysis of knowledge management processes and knowledge types is a new approach to mapping organizational knowledge, especially in academic environment. In this paper, we show advantages of...

BACKGROUND Because the movement of stock prices is not only ubiquitous in financial markets but also crucial for investors, extensive studies have been done to understand the law behind it. In particular, since the financial crisis in 2008, researchers have a more interest in investigating large market volatilities in order to grasp changing market trends. METHODOLOGY/PRINCIPAL FINDINGS In th...

The Stock market forecasters focus on developing a successful approach to predict stock prices. The vital idea to successful stock market prediction is not only achieving best results but also to minimize the inaccurate forecast of stock prices. This paper attempts to design and implement a predictive system for guiding stock market investment. The novelty of our approach is the combination of ...

The paper investigates the effects of interest rates on stock market performance by using monthly time series data for the economy of Bangladesh over the period of 1991 to 2012. A wide range of econometric techniques have been employed to analyze the relationship between the interest rate and stock market return. The study reveals a stable and significant long run relationship between the varia...

The authors examine how the co-movement between daily stock and Treasury bond returns varies with stock market uncertainty. They use the lagged implied volatility from equity index options to provide an objective, observable, and dynamic measure of stock market uncertainty. The authors find that stock and bond returns tend to move substantially together during periods of lower stock market unce...

The purpose of this study is to compare the impacts of momentum on stock returns of companies listed in Tehran Stock Exchange in different market conditions. For this purpose, the sample size is 120 months from 2008 to 2017. The research hypotheses are estimated using multivariate linear regression using time series method. Based on the results of the hypotheses test, the momentum in each of th...