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Theoretical Aspects Regarding The Models Of The Financial - Monetary Analysis

Author

Listed:
  • 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)

Abstract

The financial-monetary analysis of a country's economy, of a company's economy must be based on a series of indicators that are suggestive and comprehensive in terms of the content of that analysis. Cash issuance and money supply are aggregates determined by the level targeted by a central bank based on the balance sheet. In this article, one by one, we investigated these aspects, aiming to make, as far as possible, a brief analysis of the elements that must be taken into account in conducting a financial-monetary analysis. From this point of view, we presented the balance sheet of the central bank, we expressed the aggregate balance sheet of commercial banks in close agreement with the banks and we also insisted on the multiple linear regression model used in economic analysis, very useful in financial-monetary analysis. The main purpose was to make some clarifications in relation to the models that can be used, by adaptation, in the financial-economic analysis. Methodologically, we provided, through the study of the profile literature, the possibilities to conclude and establish some models so that an adequate financial-monetary analysis can be realized and finalized. We used the logical analysis, interpreted the existing indicators on the market and identified some achievements in the scientific field at the international level in connection with the macro-prudential activity at the macroeconomic level and, even more, at the global level. We have connected this analysis with the pandemic situation we are currently going through.

Suggested Citation

  • Constantin Anghelache & Madalina-Gabriela Anghel & Stefan Virgil Iacob, 2022. "Theoretical Aspects Regarding The Models Of The Financial - Monetary Analysis," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 1, pages 52-58, February.
    • Handle: RePEc:cbu:jrnlec:y:2022:v:1:p:52-58
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    References listed on IDEAS

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    1. Ricardo Reis, 2009. "The Time-Series Properties of Aggregate Consumption: Implications for the Costs of Fluctuations," Journal of the European Economic Association, MIT Press, vol. 7(4), pages 722-753, June.
    2. Elena Pesavento & Barbara Rossi, 2006. "Small‐sample confidence intervals for multivariate impulse response functions at long horizons," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1135-1155, December.
    3. Georgi N. Boshnakov & Bisher M. Iqelan, 2009. "Generation Of Time Series Models With Given Spectral Properties," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(3), pages 349-368, May.
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