IDEAS home Printed from https://ideas.repec.org/a/alu/journl/v1y2009i11p48.html
   My bibliography  Save this article

An Empirical Study Of Correlation Between Net Assets And Own Funds In The Romanian Banking System During 2001-2008

Author

Listed:
  • Adela Socol
  • Adina DănuleÅ£iu
  • Mihaela Aldea

Abstract

In this paper we explore the correlation between net assets and own funds in the Romanian banking system during 2001-2008. We based our approach on the Pearson correlation coefficient and we realized an empirical study, which demonstrates how the relevant elements of the capital ratio are connected. The study puts forward the concept that the banking capital adequacy is a subject of great significance to bankers, shareholders and depositors, and of course to bank supervision and central banks.

Suggested Citation

  • Adela Socol & Adina DănuleÅ£iu & Mihaela Aldea, 2009. "An Empirical Study Of Correlation Between Net Assets And Own Funds In The Romanian Banking System During 2001-2008," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(11), pages 1-48.
  • Handle: RePEc:alu:journl:v:1:y:2009:i:11:p:48
    as

    Download full text from publisher

    File URL: http://oeconomica.uab.ro/upload/lucrari/1120091/48.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John L. Simpson & John Evans, 2005. "Benchmarking and crosschecking international banking economic and regulatory capital," Journal of Financial Regulation and Compliance, Emerald Group Publishing, vol. 13(1), pages 65-79, February.
    2. J. Mukuddem-Petersen & M. A. Petersen, 2008. "Optimizing Asset and Capital Adequacy Management in Banking," Journal of Optimization Theory and Applications, Springer, vol. 137(1), pages 205-230, April.
    3. Arindam Bandyopadhyay & Tasneem Chherawala & Asish Saha, 2007. "Calibrating asset correlation for Indian corporate exposures: Implications for regulatory capital," Journal of Risk Finance, Emerald Group Publishing, vol. 8(4), pages 330-348, August.
    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. Bandyopadhyay, Arindam, 2011. "Internal Assessment of Credit Concentration Risk Capital: A Portfolio Analysis of Indian Public Sector Bank," MPRA Paper 28672, University Library of Munich, Germany.
    2. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    3. Socol Adela & Iuga Iulia, 2010. "Study Of Correlation Between Average Interest Rate And Non-Performing Loans In The Romanian Banking System During 2006- February 2010," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 777-782, December.
    4. Yongming Shi & Khalid Ahmed & Sudharshan Reddy Paramati, 2021. "Determinants of stock market development and price volatility in ASEAN plus three countries: The role of institutional quality," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 560-572, January.
    5. Fatma Chakroun & Fathi Abid, 2015. "Optimal CAR simulation," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 2(04), pages 1-31, December.
    6. Ryle S. Perera, 2020. "Provisions for bank deposit withdrawals and portfolio selection," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 1-32, March.
    7. Wagner, Stephan M. & Bode, Christoph & Koziol, Philipp, 2011. "Negative default dependence in supplier networks," International Journal of Production Economics, Elsevier, vol. 134(2), pages 398-406, December.
    8. Pankaj Baag, 2014. "Predicting The Probability Of Default Using Asset Correlation Of A Loan Portfolio," Working papers 151, Indian Institute of Management Kozhikode.
    9. Lorella Fatone & Francesca Mariani, 2020. "Systemic risk governance in a dynamical model of a banking system with stochastic assets and liabilities," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 183-219, January.
    10. Camilla Ferretti & Giampaolo Gabbi & Piero Ganugi & Federica Sist & Pietro Vozzella, 2019. "Credit Risk Migration and Economic Cycles," Risks, MDPI, vol. 7(4), pages 1-18, October.
    11. Dawen Yan & Xiaohui Zhang & Mingzheng Wang, 2021. "A robust bank asset allocation model integrating credit-rating migration risk and capital adequacy ratio regulations," Annals of Operations Research, Springer, vol. 299(1), pages 659-710, April.
    12. Bandyopadhyay, Arindam & Ganguly, Sonali, 2011. "Empirical estimation of default and asset correlation of large corporates and banks in India," MPRA Paper 33057, University Library of Munich, Germany.
    13. Bandyopadhyay, Arindam, 2010. "Understanding the Effect of Concentration Risk in the Banks’ Credit Portfolio: Indian Cases," MPRA Paper 24822, University Library of Munich, Germany.
    14. Chakroun, Fatma & Abid, Fathi, 2014. "Dynamic asset allocation for bank under stochastic interest rates," MPRA Paper 59295, University Library of Munich, Germany.
    15. Richa Verma Bajaj, 2018. "Credit Risk Capital Estimation Under IRB Approach for Banks in India," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(2), pages 475-500, June.

    More about this item

    Keywords

    Pearson correlation coeficient; Elements of capital ratio; Required banking capital;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

    Statistics

    Access and download statistics

    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:alu:journl:v:1:y:2009:i:11:p:48. 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: Dan-Constantin Danuletiu (email available below). General contact details of provider: .

    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.