IDEAS home Printed from https://ideas.repec.org/a/iag/reviea/v12y2015i1p45-60.html
   My bibliography  Save this article

A Parametric Approach To Assessing The Creditworthiness For The Moldovan Rural Development Network

Author

Listed:
  • Anatol RACUL

    () (State Agrarian University of Moldova, Chisinau, Republic of Moldova)

  • Petru TOMIŢA

    (State Agrarian University of Moldova, Chisinau, Republic of Moldova)

Abstract

This paper tries to adapt to the conditions that describe the Moldovan rural development network and most importantly its banking system. The investigation has two main objectives: firstly, to present the current situation of the banking sector with respect to the Moldovan agriculture and to advocate for the implementation of statistical-based credit scoring models as a mean to make the loan granting process more efficient and secondly, to present two possible statistical-based models and their implementation on a Moldovan sample of data. The choice of these two models is grounded on the fact that, from the authors’ point of view, discriminant analysis and logistic regression analysis were the two models that were refined the most by a wide variety of scholars throughout the years.

Suggested Citation

  • Anatol RACUL & Petru TOMIŢA, 2015. "A Parametric Approach To Assessing The Creditworthiness For The Moldovan Rural Development Network," Agricultural Economics and Rural Development, Institute of Agricultural Economics, vol. 12(1), pages 45-60.
  • Handle: RePEc:iag:reviea:v:12:y:2015:i:1:p:45-60
    as

    Download full text from publisher

    File URL: ftp://www.ipe.ro/RePEc/iag/iag_pdf/AERD1501_45-60.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Emel, Ahmet Burak & Oral, Muhittin & Reisman, Arnold & Yolalan, Reha, 2003. "A credit scoring approach for the commercial banking sector," Socio-Economic Planning Sciences, Elsevier, vol. 37(2), pages 103-123, June.
    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. Artur Wyszyński, 2017. "Sytuacja finansowa klubów Ekstraklasy w ujęciu metody DEA," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 69-99.
    2. Hsiang-Hsi Liu & Tser-Yieth Chen & Jia-Wen Chen, 2013. "Incorporating the Credit Ranking Measure to Evaluate the Operating Efficiency of Financial Holding Companies in Taiwan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 3(10), pages 1386-1404, October.
    3. Somayeh Moradi & Farimah Mokhatab Rafiei, 2019. "A dynamic credit risk assessment model with data mining techniques: evidence from Iranian banks," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 5(1), pages 1-27, December.
    4. Psillaki, Maria & Tsolas, Ioannis E. & Margaritis, Dimitris, 2010. "Evaluation of credit risk based on firm performance," European Journal of Operational Research, Elsevier, vol. 201(3), pages 873-881, March.
    5. Ha-Thu Nguyen, 2015. "How is credit scoring used to predict default in China?," EconomiX Working Papers 2015-1, University of Paris Nanterre, EconomiX.
    6. Wojciech Lichota, 2016. "Efektywność finansowa specjalnych stref ekonomicznych w Polsce," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 99-130.
    7. Salihu, Armend & Shehu, Visar, 2020. "A Review of Algorithms for Credit Risk Analysis," Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference (2020), Virtual Conference, in: Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Virtual Conference, 10-12 September 2020, pages 134-146, IRENET - Society for Advancing Innovation and Research in Economy, Zagreb.
    8. Apostolos G. Christopoulos & Ioannis G. Dokas & Sofia Katsimardou & Konstantinos Vlachogiannatos, 2016. "Investigation of the relative efficiency for the Greek listed firms of the construction sector based on two DEA approaches for the period 2006–2012," Operational Research, Springer, vol. 16(3), pages 423-444, October.
    9. Tomasz Korol, 2020. "Assessment of Trajectories of Non-bankrupt and Bankrupt Enterprises," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 1113-1135.
    10. Korol, Tomasz, 2013. "Early warning models against bankruptcy risk for Central European and Latin American enterprises," Economic Modelling, Elsevier, vol. 31(C), pages 22-30.
    11. Ioannis Tsolas, 2015. "Firm credit risk evaluation: a series two-stage DEA modeling framework," Annals of Operations Research, Springer, vol. 233(1), pages 483-500, October.
    12. Hussein A. Abdou & John Pointon, 2011. "Credit Scoring, Statistical Techniques And Evaluation Criteria: A Review Of The Literature," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 18(2-3), pages 59-88, April.
    13. Tomasz Korol, 2018. "The Implementation of Fuzzy Logic in Forecasting Financial Ratios," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(2), June.
    14. Lobna Abid & Afif Masmoudi & Sonia Zouari-Ghorbel, 2018. "The Consumer Loan’s Payment Default Predictive Model: an Application of the Logistic Regression and the Discriminant Analysis in a Tunisian Commercial Bank," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 948-962, September.
    15. Virág, Miklós & Nyitrai, Tamás, 2017. "Magyar vállalkozások felszámolásának előrejelzése pénzügyi mutatóik idősorai alapján [Predicting the liquidation of Hungarian firms using a time series of their financial ratios]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 305-324.
    16. Catarina Figueira & Joseph Nellis, 2009. "Bank merger and acquisitions activity in the EU: much ado about nothing?," The Service Industries Journal, Taylor & Francis Journals, vol. 29(7), pages 875-886, July.
    17. Kheiri Chari , Mohammad & Aliheidari Bioki , Tahereh & Khademizare , Hasan, 2013. "The New Method for Ranking Grouped Credit Customer Based on DEA Method," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 8(4), pages 75-98, October.
    18. Tien-Chin Wang & Ying-Ling Lin, 2009. "Using a Multi-Criteria Group Decision Making Approach to Select Merged Strategies for Commercial Banks," Group Decision and Negotiation, Springer, vol. 18(6), pages 519-536, November.
    19. Sahoo, Biresh K. & Acharya, Debashis, 2010. "An alternative approach to monetary aggregation in DEA," European Journal of Operational Research, Elsevier, vol. 204(3), pages 672-682, August.
    20. Anna Feruś, 2010. "The Application of DEA Method in Evaluating Credit Risk of Companies," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 4(4), December.

    More about this item

    Keywords

    rural development; creditworthiness; Moldovan agriculture.;
    All these keywords.

    JEL classification:

    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

    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:iag:reviea:v:12:y:2015:i:1:p:45-60. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Corina Saman). General contact details of provider: https://edirc.repec.org/data/iaacaro.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.