This study is concerned with the aggregation of information in stock index cash and futures markets. The efficient price discovery is analyzed with reference to the error correction representation and to the common trend representation of cointegrated variables. The empirical evidence is based on three month of intraday data on the French CAC 40 index. The results indicate that deviations from ...

M argin loans have long been associated in the popular mind with instability in security markets. Galbraith (1954) placed them at the center of the 1929 Crash, arguing that heavy borrowing from brokers exacerbated the rise in stock prices in the late 1920s and the stock price declines during the Crash. More recently, the analyses of the U.S. Securities and Exchange Commission (1988) and of the ...

In this paper, we present a novel methodology for stock investment using episode mining and technical indicators. The time-series data of stock price and the derived moving average, a class of well-known technical indicators, are used for the construction of complex episode events and rules. Our objective is to devise a profitable episodebased investment model to mine associated events in the s...

In this study business operations and liquidity and credit risk on price fluctuations on the stock exchange since 2010 to 2013 has been Tehran distance. The sample consisted of 76 company The systematic elimination method is selected. The company had a total of 304 years, in this study, the hypothesis of linear regression and correlation to analyse the data and test hypotheses Eviews software i...

in this section of the journal ,a summary of theses completed at the m.b.a level is presented. the title of these are: 1- the application of technical analysis in selecting common stocks by mr. hasan amiri . 2- determination of factors influencing the capital struture of corporations listed in tehran stock exchange. by mr. omid pourheidari. 3- the adequacy of the stock price index of tehran sto...

The prediction of a stock market direction may serve as an early recommendation system for short-term investors and as an early financial distress warning system for long-term shareholders. In this paper, we propose an empirical study on the Korean and Hong Kong stock market with an integrated machine learning framework that employs Principal Component Analysis (PCA) and Support Vector Machine ...

This paper examines the correlation between the relative financial strength of public firms and their stock price performance. By using financial information obtained from the firms’ publicly available financial statement as inputs and outputs in Data Envelopment Analysis (CCR model), a relative financial strength of a firm is determined relative to other competing firms operating in the same m...

For decades, humans have been consuming large quantities of oil, coal and natural gas. Consequently, people must now take responsibility for having participated in productive activities that have caused the emissions of greenhouse gas (GHG) which has damaged the environment and caused problems associated with abnormal weather. Previous studies investigated the relationships between energy and c...

With the expansion of stock market, investors and capital are increasing step by step, which makes the stock market an increasing impact on the macro-economy. In order to reveal the effect of macro factors on the specified industry’s stock price, a new nonlinear regression model is established with Eviews6.0 software in the paper. We take macro variables as samples which are based on interest r...