With this work in progress we propose a visualization system for stock market charts. Insight into stock charts is important in technical stock market analysis where exclusively the chart shape is considered in decision making. We focus on clustering existing chart shapes. Clustering delivers representative charts representing a set of similar charts. In our work, we generate a 2D map of these ...

Background and Objectives: Stock price prediction has become one of the interesting and also challenging topics for researchers in the past few years. Due to the non-linear nature of the time-series data of the stock prices, mathematical modeling approaches usually fail to yield acceptable results. Therefore, machine learning methods can be a promising solution to this problem. Methods: In this...

in this study, 3 models of time-varying parameters (tvp), dynamic model selection (dms) and dynamic model averaging (dma) and a comparison with the ordinary least squares (ols) method in matlab in the time period 2003-2013 (with data on a monthly basis) are discussed. in the present study, the variables of unofficial exchange rate changes, interest rate changes and inflation in oil price foreca...

the development of the cyprus stock exchange together with the increasing trend of investors’ presence in financing activities has led to the importance of this market. in such circumstances, the first step towards a sustainable development of the exchange is to support the investors. risk of bankruptcy for the investee is a major challenge that an inexperienced stock investor encounters. in th...

the relationship between financial ratios and stock return has been studied in many researches and the presence of income smoothing in tehran stock exchange (tse) has been verified. because of importance of financial reports in predicting and decision making process, income smoothing would be a critical factor in this area. in this paper, the income smoothing impact on relationship between fina...