The interaction of BRICS stock markets with the United States is studied using an asymmetric Granger causality test based on the frequency domain. This type of analysis allows for both positive and negative shocks over different horizons. There is a clear bivariate causality that runs both ways between the United States stock market and the respective BRICS markets. In addition, both negative a...

  The main purpose of present study is to analyze the relationship between stock and exchange markets in two Asian countries, Iran and South Korea. A monthly time series of stock price and exchange rate are used over the period 2002: 05 - 2012: 03. The data is collected from the Central Bank of each country and WDI. The calculated stock return and real exchange rate change are used in analysis....

Using the efficiency of capital allocation function to characterize the stock market system efficiency.Using panel data analysis method,from a regional perspective empirical analysisto implement the stock market during the capital allocation function efficiency issue approval system for China.The results show: the efficiency of resource allocation of China stock market is lower,and stock market...

Stock market analysis is a widely studied problem as it offers practical applications for signal processing and predictive methods and a tangible financial reward. Creating a system that yields consistent returns is extremely challenging and is currently an open problem as stock market prices are extremely volatile and vary widely both within a given stock and comparatively amongst many stocks....

Stock market prediction is essential and of great interest because successful prediction of stock prices may promise smart benefits. These tasks are highly complicated and very difficult. Many researchers have made valiant attempts in data mining to devise an efficient system for stock market movement analysis. In this paper, we have developed an efficient approach to stock market prediction by...

This research paper was an endeavor to make a model, to find out the connection involving stock market and interest rate (Pakistani market) and to run certain tests related to statistical analysis. These tests run with the help of month end closing stock prices of Karachi Stock Exchange and interest rates of previous ten years i.e. Jan 2004 to Dec 2013. Correlation, Regression analysis and desc...

The use of intelligent systems for stock market predictions has been widely established. This paper deals with the application of hybridized soft computing techniques for automated stock market forecasting and trend analysis. We make use of a neural network for one day ahead stock forecasting and a neuro-fuzzy system for analyzing the trend of the predicted stock values. To demonstrate the prop...