نتایج جستجو برای: stock exchange technical analysis ta
تعداد نتایج: 3163123 فیلتر نتایج به سال:
Big data plays a serious role within the business for creating higher predictions over business information that is collected from the real world. Finance is that the new sector wherever the big data technologies like Hadoop, NoSQL are creating its mark in predictions from financial data by the analysts. It’s a lot of fascinating within the stock exchange choices which might predict on a lot of...
Within the two past decades, transparency of financial market has been regarded as one of the variables that affect investment strategies in financial markets. This research investigates the relationship of transparency of financial information with the investors’ behavior in Isfahan Stock Exchange. The statistical population of the research is composed of investors in the Isfahan Stock Exchang...
Identi cation of patterns in stock markets has been an important subject for many years. In the past, numerous techniques, both technical and econometric, were used to predict changes in stock markets, but dependences among all the companies listed on a stock market were considered in a limited extent. Numerous studies con rm that larger stocks items appear to in uence smaller ones and that, on...
The stock market has an important role in growth and development of countries. Network analysis is one of the latest method in analyzing the stock market. In quantitative science literature, It is a new concept for a macro view to whole market. Therefore, this research analyzes the interpersonal relationships’ network in the Tehran Stock Exchange (TSE). From the type of data collected and analy...
Dynamic heterogeneous panel analysis of the correlation between stock prices and exchange rates Yuan-Ming Lee & Kuan-Min Wang To cite this article: Yuan-Ming Lee & Kuan-Min Wang (2015) Dynamic heterogeneous panel analysis of the correlation between stock prices and exchange rates, Economic ResearchEkonomska Istraživanja, 28:1, 749-772, DOI: 10.1080/1331677X.2015.1084889 To link to this article:...
The purpose of this paper is to evaluate the returns to scale of the Tehran Stock Exchange based on new models in data envelopment analysis. Using this assessment, it is possible to judge the application of contradictory or expansion policies in stock companies. To this end, there is a need for models in the data envelopment analysis that can assess the left and right returns to scales of the d...
Machines (SVM) for stock market prediction. A variety of indicators from the technical analysis field of study are used as input features. We also make use of the correlation between stock prices of different companies to forecast the price of a stock, making use of technical indicators of highly correlated stocks, not only the stock to be predicted. The genetic algorithm is used to select the ...
STOCK market price behavior has been studied extensively. It is influenced by a myriad of factors, including political and economic events, among others, and is a complex nonlinear time-series problem. Traditionally, stock price forecasting is performed based on technical analysis, which focuses on price action, which is the process of finding patterns in price history. More recently, research ...
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