STATISTICAL-ECONOMETRIC METHODS FOR RISK DIVERSIFICATION

Constantin Anghelache, Madalina-Gabriela Anghel and Stefan Virgil Iacob
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Constantin Anghelache: BUCHAREST UNIVERSITY OF ECONOMIC STUDIES / ARTIFEX UNIVERSITY OF BUCHAREST
Madalina-Gabriela Anghel: ARTIFEX UNIVERSITY OF BUCHAREST
Stefan Virgil Iacob: ARTIFEX UNIVERSITY OF BUCHAREST

Annals - Economy Series, 2021, vol. 5, 157-163

Abstract: The risks appear, they can be known, measures can be taken to reduce the influence, the effects but they cannot be completely eradicated. Therefore, in the article we proposed a study as complex as possible to identify those statistical-econometric methods that underlie the study and analysis of risks. After all, in the article we talk about a diversification scheme of the activity precisely so that its effect is to reduce the risks. The statistical-econometric methods used are part of the methodology we used in this analysis, along with other statistical methods, such as grouping, data processing and interpretation, index method, analysis of the evolution of risk dynamics, effects produced in previous periods but also the causes that determine the occurrence of risks and which, if not met with precise measures, can lead to an increase in the losses suffered by the national economy. A correct statement is that all agents are concerned with identifying risks using a study either empirically, based on data, graphical representations, data series, or by using some statistical-econometric methods and models that result in the calculation of parameters in on the basis of which the possible losses can be extended so that measures can be taken throughout the course of the economic phenomenon. Also as a method we used stochastic analysis in risk analysis, precisely so that, on a statistical- mathematical basis, we can identify these risks, quantify their evolutionary perspectives and, finally, be able to take some measures to limit those risks.

Keywords: risks; statistical-econometric methods and models; indicators; evolutions (search for similar items in EconPapers)
Date: 2021
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