TY - JOUR
T1 - Analysis of credit ratings for small and medium-sized enterprises
T2 - Evidence from Asia
AU - Yoshino, Naoyuki
AU - Taghi Zadeh Hesary, Farhad
PY - 2015/9/1
Y1 - 2015/9/1
N2 - In Asia, small andmedium-sized enterprises (SMEs) account for the major share of employment and dominate domestic economies, yet providing these companies with access to finance is a challenge across the region. Asian economies are often characterized as having bank-dominated financial systems and underdeveloped capital markets, in particular with regard to venture capital. As a result, banks are the main source of financing for SMEs. It is crucial for banks to be able to distinguish healthy from risky companies. If they can do this, lending and financing SMEs through banks will be easier. In this paper, we explain the importance of SMEs in Asia. Then, we provide a scheme for assigning credit ratings to SMEs by employing two statistical analysis techniques—principal component analysis and cluster analysis—applying 11 financial ratios of 1,363 SMEs in Asia. If used by the financial institutions, this comprehensive and efficient method could enable banks and other lending agencies around the world, and especially in Asia, to group SME customers based on financial health and adjust interest rates on loans and set lending ceilings for each group.
AB - In Asia, small andmedium-sized enterprises (SMEs) account for the major share of employment and dominate domestic economies, yet providing these companies with access to finance is a challenge across the region. Asian economies are often characterized as having bank-dominated financial systems and underdeveloped capital markets, in particular with regard to venture capital. As a result, banks are the main source of financing for SMEs. It is crucial for banks to be able to distinguish healthy from risky companies. If they can do this, lending and financing SMEs through banks will be easier. In this paper, we explain the importance of SMEs in Asia. Then, we provide a scheme for assigning credit ratings to SMEs by employing two statistical analysis techniques—principal component analysis and cluster analysis—applying 11 financial ratios of 1,363 SMEs in Asia. If used by the financial institutions, this comprehensive and efficient method could enable banks and other lending agencies around the world, and especially in Asia, to group SME customers based on financial health and adjust interest rates on loans and set lending ceilings for each group.
KW - Asian economies
KW - SME credit rating
KW - SME financing
UR - http://www.scopus.com/inward/record.url?scp=84947446141&partnerID=8YFLogxK
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U2 - 10.1162/ADEV_a_00050
DO - 10.1162/ADEV_a_00050
M3 - Article
AN - SCOPUS:84947446141
SN - 0116-1105
VL - 32
SP - 18
EP - 37
JO - Asian Development Review
JF - Asian Development Review
IS - 2
ER -