there have been several efforts in the literature to extract as much information as possible from the financial networks. most of the research has been concerned about the hierarchical structures, clustering, topology and also the behavior of the market network; but not a notable work on the network filtration exists. this paper proposes a stock market filtering model using the correlation - ba...

because of its extensive applications in financial analysis, stock market volatility modeling is a significantly important issue for stock market practitioners and academicians. using garch models to formulate the conditional variance heteroskedasticity and the taking advantages of panel data technique such as higher degrees of freedom, more flexibility in the control of the omitted or unobserv...

This paper investigates international stock market dynamics and their linkages. It uses factor models to extract stock market indicators from common cyclical stock components of industrialized countries, emerging markets, the BRICT, and global stock markets. We find that the stock market indicators for these groups are correlated with each other and with the global market factor. The BRICT disp...

Stock market plays a vital role in a country’s economy and it is an important consideration in all the fields due to its potential financial gain. Using Data mining future stock price, whether stock price go high or low can be predicted. There are two types of stock market predictions, fundamental analysis based on unstructured data and technical analysis based on structured data. In this paper...

This paper investigates the statistical properties of stock returns in the West African regional stock market and the link between the West African regional stock market and economic growth. To examine the nature of the distribution of West African regional stock returns, the daily closing prices of the two stock index of West African regional stock market, and eighteen of it sub-indices were u...

The analysis of the financial market always draws a lot of attention from investors and researchers. The trend of stock market is very complex and is influenced by various factors. Therefore to find out the most significant factors to the stock market is very important. Feature Selection is such an algorithm that can remove the redundant and irrelevant factors, and figure out the most significa...

The focal objective of this study is to analyze and explore the Co-movement of Pakistan stock market (KSE-100) with the stock market of developed countries (US, UK, Canada, Australia, Germany, Japan, France and Neither land) which have portfolio investment in Pakistan by applying co-integration approach using Johansen and Juselius multivariate and bi variate co-integration. Secondary data of st...

Stock market is affected by news and information. If the stock market is not efficient, the reaction of stock price to news and information will place the stock market in overreaction and under-reaction states. Many models have been already presented by using different tools and techniques to forecast the stock market behavior. In this study, the reaction of stock price in the stock market was ...