IDEAS home Printed from https://ideas.repec.org/a/cbu/jrnlec/y2022v1p52-58.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.utgjiu.ro/revista/ec/pdf/2022-01/05_Anghelache.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ramona-Maria DIMITROV, 2023. "Forecasts On Some Financial Indicators: A Case Study For S.C.D.A Simnic," Management and Marketing Journal, University of Craiova, Faculty of Economics and Business Administration, vol. 0(2), pages 185-211, November.
    2. R. Anton Braun & Tomoyuki Nakajima, 2011. "Making the Case for a Low Intertemporal Elasticity of Substitution," KIER Working Papers 788, Kyoto University, Institute of Economic Research.
    3. Stefano Puddu, 2013. "Real Sector and Banking System: Real and Feedback Effects. A Non-Linear VAR Approach," IRENE Working Papers 13-01, IRENE Institute of Economic Research.
    4. Alessandro Federici & Pierluigi Montalbano, 2012. "Macroeconomic volatility, consumption behaviour and welfare: A cross-country analysis," Working Paper Series 3612, Department of Economics, University of Sussex Business School.
    5. Guillén, Osmani Teixeira de Carvalho & Issler, João Victor & Franco-Neto, Afonso Arinos de Mello, 2014. "On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century and beyond," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 62-78.
    6. Keshav Dogra & Olga Gorbachev, 2016. "Consumption Volatility, Liquidity Constraints and Household Welfare," Economic Journal, Royal Economic Society, vol. 126(597), pages 2012-2037, November.
    7. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    8. Constantin ANGHELACHE & Alexandru MANOLE & Mădălina-Gabriela ANGHEL, 2017. "Macroeconomic models used in structural analysis of GDP," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(1(610), S), pages 197-206, Spring.
    9. Gomes, Orlando, 2006. "Heterogeneous Researchers in a Two-Sector Representative Consumer Economy," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 60(2), November.
    10. Montalbano, Pierluigi, 2011. "Trade Openness and Developing Countries' Vulnerability: Concepts, Misconceptions, and Directions for Research," World Development, Elsevier, vol. 39(9), pages 1489-1502, September.
    11. Constantin ANGHELACHE & Alexandru MANOLE & Mădălina-Gabriela ANGHEL, 2017. "Macroeconomic models used in structural analysis of GDP," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(1(610), S), pages 197-206, Spring.
    12. Bergmeir, Christoph & Costantini, Mauro & Benítez, José M., 2014. "On the usefulness of cross-validation for directional forecast evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 132-143.
    13. Emiliano Magrini & Pierluigi Montalbano & L. Alan Winters, 2017. "Vulnerability from trade in Vietnam," Working Papers 12/17, Sapienza University of Rome, DISS.
    14. Mardi Dungey & Denise R. Osborn, 2020. "The Gains from Catch‐up for China and the USA: An Empirical Framework," The Economic Record, The Economic Society of Australia, vol. 96(314), pages 350-365, September.
    15. Letta, Marco & Montalbano, Pierluigi & Tol, Richard S.J., 2018. "Temperature shocks, short-term growth and poverty thresholds: Evidence from rural Tanzania," World Development, Elsevier, vol. 112(C), pages 13-32.
    16. Claudia Buch & Serkan Yener, 2010. "Consumption volatility and financial openness," Applied Economics, Taylor & Francis Journals, vol. 42(28), pages 3635-3649.
    17. Nikolay Gospodinov & Alex Maynard & Elena Pesavento, 2011. "Sensitivity of Impulse Responses to Small Low-Frequency Comovements: Reconciling the Evidence on the Effects of Technology Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(4), pages 455-467, October.
    18. Inoue, Atsushi & Kilian, Lutz, 2020. "The uniform validity of impulse response inference in autoregressions," Journal of Econometrics, Elsevier, vol. 215(2), pages 450-472.
    19. Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
    20. Guillen, Osmani Teixeira Carvalho & Issler, João Victor & Franco Neto, Afonso Arinos de Mello, 2012. "On the welfare costs of business-cycle fluctuations and economic-growth variation in the 20th century," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 734, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cbu:jrnlec:y:2022:v:1:p:52-58. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ecobici Nicolae (email available below). General contact details of provider: https://edirc.repec.org/data/fetgjro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.