Analysis of the Main Indicators of the Bucharest Stock Exchange
The goal of this article is to achieve an analysis of the evolution and significance of the main indicators of the Bucharest Stock Exchange (stock exchange capitalization, BET index, value of the concluded transactions) over the last fifteen years. One of the significant elements in analyzing the performances of the capital market consist of the stock exchange capitalization which an essential indicator for characterizing of this domain of activity, mainly if considering the fact that it is used as weighing factor in the calculation of the stock exchange indices. Therefore, I have studied the connection between this one and the other analyzed indicators, applying in this respect the econometric model of regression.
Analysis Model of the Capital Market in Romania
This article aims to use the existing statistical-econometric instrument in order to achieve a complex analysis of the Romanian capital market evolution as well as to identify certain econometric models capable to reflect the correlation between the main indicators and, mainly, to identify some general tendencies concerning their subsequent evolution. Actually, we accomplished an analysis of the characteristic, the actual modality to organize the financial instruments being used and of the activity carried on by the capital market in Romania during the year 2014. In this respect, there are submitted aspects concerning its structure as well as the value and the monthly evolution of the main indicators recorded. Since the stock exchange capitalization represents one of the most significant indictors utilized for featuring a stock exchange market, by applying the regression econometric model we have studied the correlation between this one and other analysed indicators.
RDF Keyword Search based on Keywords-To-SPARQL Translation
In this paper, we present a summary of our work on RDF keyword search. Given a set of keywords, our method automatically generates a set of candidate SPARQL queries, and their natural language description, to be evaluated on the RDF data graph. We discuss our approach, highlighting current and future directions.