System of indicators applied in the frame of the stock exchange analyses
Journal Title: Revista Romana de Statistica - Year 2015, Vol 63, Issue 9
Abstract
The goal of this article consisted of the identification of the actual possibilities of analysing the series of financial data based on the statistical indicators, with application on the monthly evolution of the main indicators of the Bucharest Stock Exchange over the year 2014. The analysis and the prognosis of the evolution of the economic phenomena, generally speaking, and particularly, of the financial ones, implies an accurate knowledge of their history and the identification of certain laws concerning their previous evolution on which basis forecasts of a high level of confidence concerning the evolution of the studied phenomena for an easily foreseeable period can be issued.
Authors and Affiliations
Mădălina Gabriela ANGHEL
Stabilirea preţului de piaţă
Acest articol prezintă unele considerente referitoare la modelarea preţului de piaţă. Sunt tratate pieţele competitive pentru garanţiile Arrow-Debreu, teorema bunăstării economice, prima de capital, modelul de capital al...
Diferenţele termice între arealele oraşelor Slatina şi Caracal
At the level of an urban area, man is under the conditions of basic clime elements: temperature,precipitations and wind. Due to impurities, numerical growth of population and increase of the consumption of combustibles t...
Innovations Financed by Polish Enterprises from SME Sector
Innovation, the process of their inventing and implementing, is now one of the most important activities of the enterprise. Nowadays, innovation is not only forced by the continuous technological development, but also by...
Managing Financial Instruments by Development Bank of Romania
Eximbank direct empowerment group analysis as administrator of financial instruments provided by the Managing Authorities under the Operational Programmes of Romania 2014 – 2020 is one of the options provided by the EU R...
Estimarea parametrilor modelului liniar de regresie
In this paper, the authors propose solving the problematic regarding the estimation of the parameters for the linear regression model. For this, the least squares method, the maximum likelihood method and the Gauss-Mark...