The stock market is considered one of the most standard investments due to its high revenues. Stock market investment can be risky due to its unpredictable activities. That is why, there is an urgent need to develop intelligent models to predict the for stock market index to help managing the economic activities. In the literature, several models have been proposed to give either shortterm or l...

Analysis of investors’ preferences in the Montenegro stock market using data mining techniques Ljiljana Kašćelan, Vladimir Kašćelan & Miomir Jovanović To cite this article: Ljiljana Kašćelan, Vladimir Kašćelan & Miomir Jovanović (2014) Analysis of investors’ preferences in the Montenegro stock market using data mining techniques, Economic Research-Ekonomska Istraživanja, 27:1, 463-482, DOI: 10....

This study provides a new perspective to the long-standing debate on the business value of IT. Advancing prior research on the internal perspectives of IT value creation, we take an external view and investigate the role of stock analysts in facilitating the market evaluation of firms’ IT investments. Stock analysts collect information about firms’ IT investments and provide informed recommenda...

The stock market is the most popular investing places for users. Because of its expected high profit. Recently forecasting stock market returns gaining more attention. The prediction of stock markets is regarded as a challenging task. Data analysis is the way of predicting future value. if future stocks prices will increase or decrease. The main objective of this paper is to predict future stoc...

The technical analysis and machine learning have been integrated in stock trading signal forecasting. And it has been proved that there are some weaknesses in technical analysis because of the complex environment in the stock market. In our prediction system, web news media sentiment analysis is regarded as a supplementary way to cover the shortage of technical analysis. It is considered to bri...

This paper examines the determinants of stock returns in a small open economy using an APT framework. The analysis is conducted for the Swiss stock market which has the particularity of including a large proportion of firms that are exposed to foreign economic conditions. Both a statistical and a macroeconomic implementation of the model are performed for the period 1986-2002 with monthly retur...

Stock markets are affected by many uncertainties and interrelated economic and political factors at both local and global levels. The key to successful stock market forecasting is achieving best results with minimum required input data. To determine the set of relevant factors for making accurate predictions is a complicated task and so regular stock market analysis is very essential. More spec...

This paper seeks to examine the effect of mutual fund governance on stock selection and market timing abilities. This paper applies a Structural Equation Modelling technique to solve the potential endogeneity problem between internal governance measures and stock selection and market timing. The main conclusion of this paper is to provide evidence through robust statistical analysis around the ...

1.0 Introduction Seasonal variations in production and sales are a well known fact in business. Seasonality refers to regular and repetitive fluctuation in a time series which occurs periodically over a span of less than a year. The main cause of seasonal variations in time series data is the change in climate. For example, sales of woolen clothes generally increase in winter season. Besides th...

This paper aims at testing the influence of Subprime Crisis on Chinese stock market returns. By means of newly proposed time series spatial analysis methodology, we investigate the dominance behavior of daily returns on both Shanghai Stock Exchange Composite Index and Shenzhen Stock Exchange Component Index between before and after the crisis. Little spatial dominance could be found, even consi...