Assessing The Performance Of Non-Banking Financial Institutions – A Knowledge Discovery Approach
AbstractThis paper proposes a framework for assessing the performance of non-banking financial institutions (NFIs). Firstly, we present an overview of the non-banking financial institutions’ sector in Romania and, then, the CAAMPL system which is used to evaluate the performance of banks. We argue that this system is suboptimal when applied to assessing NFIs’ performance and that the Knowledge Discovery in Databases (KDD) process could offer specific methods that may be used to developing better systems. Next, we discuss different concepts that are closely related with the KDD process: data, information and knowledge. Finally, we present the KDD process and we show how our research problem can be formalized as a KDD process.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoArticle provided by University of Craiova, Faculty of Economics and Business Administration in its journal Annals of Computational Economics.
Volume (Year): 3 (2011)
Issue (Month): 39 ()
knowledge discovery; data mining; prudential supervision; non-banking financial institutions; financial performance;
Find related papers by JEL classification:
- D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
- G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- David J. Hand & Heikki Mannila & Padhraic Smyth, 2001. "Principles of Data Mining," MIT Press Books, The MIT Press, edition 1, volume 1, number 026208290x, December.
- Liliana Eva Donath & Laura Mariana Cismas, 2008. "Determinants of Financial Stability," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 11(29), pages 27-44, (3).
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Anca Bandoi).
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 references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link 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 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.