Author Name | YOSHINO Naoyuki (Faculty Fellow, RIETI) |
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Creation Date/NO. | March 2015 15-P-003 |
Research Project | Establishment of Credit Risk Database in Selected Asian Countries and Improvement of SME Database to Promote the Efficient Allocation of Loans to the Growing SME Sector |
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Abstract
In this paper, I will explain the construction and analysis of a database of small- and medium-sized enterprises (SMEs), represented by data from the Credit Risk Database (CRD), and the role of the database as a means to provide financial education to SMEs. Then, to develop "assessment" abilities, I will comment on the need to cope with variables using the SME database and the long experience of persons involved in financing. I will also explain why it is hoped to make further progress on a study on the correlation with analysis using microdata and macro variables, including the feature of industry-specific data and an increase in the risk of loan loss due to a change in macro variables.
Next, I will discuss and analyze (1) the establishment of a financial institution specializing in providing funds to SMEs in Asia where micro credit plays a major role and the relationship between governmental financial institutions and private financial institutions; (2) the methods of fundraising by governmental financial institutions, which can provide funds at low interest rates for long periods; and (3) difference in credit abilities between governmental financial institutions and private financial institutions, and the competitive yet complementary relationship between governmental financial institutions and private financial institutions.
Furthermore, I will describe how German (KfW)-type concerted lending (loans through private financial institutions) is one way to reduce competition between governmental financial institutions and private financial institutions.
Finally, I will explain how "Hometown Investment Trust Funds" (vehicles to provide risk money to startups and SMEs in local areas) provide funds to startups and SMEs in local areas using past cases, and describe the potential of these funds.