Bank Borrowing and Financing of Medium-sized Firms in Indonesia

The improvement of financial intermediation functions is crucial for a robust banking system. When lending, banks have to cope with such problems as information asymmetry and adverse selection. In order to mitigate these problems, banks have to product information and improve their techniques of lending. During the 1998 financial crisis, Indonesia's banking system suffered severe damage and revealed that the country's banking intermediation functions did not work well. This paper examines the financial intermediation functions of banks in Indonesia and analyzes the importance of bank lending to firms. The focus is on medium-sized firms, and "relationship lending", one of the bank lending techniques, is used to examine financial intermediation in Indonesia. The results of logit regressions show that the relationship between a bank and a firm affects the probability of bank lending. The amount of borrowing and collateral are also affected by a firm's relationship with a bank. When viewed from the standpoint of relationship lending to medium-sized firms, Indonesian banks cannot be criticized for any malfunction of financial intermediation.

Inter-industry analysis and monetary policy evaluations in the Korean flow of funds accounts

This study mainly aims to provide an inter-industry analysis through the subdivision of various industries in flow of funds (FOF) accounts. Combined with the Financial Statement Analysis data from 2004 and 2005, the Korean FOF accounts are reconstructed to form "from-whom-to-whom" basis FOF tables, which are composed of 115 institutional sectors and correspond to tables and techniques of input–output (I–O) analysis. First, power of dispersion indices are obtained by applying the I–O analysis method. Most service and IT industries, construction, and light industries in manufacturing are included in the first quadrant group, whereas heavy and chemical industries are placed in the fourth quadrant since their power indices in the asset-oriented system are comparatively smaller than those of other institutional sectors. Second, investments and savings, which are induced by the central bank, are calculated for monetary policy evaluations. Industries are bifurcated into two groups to compare their features. The first group refers to industries whose power of dispersion in the asset-oriented system is greater than 1, whereas the second group indicates that their index is less than 1. We found that the net induced investments (NII)–total liabilities ratios of the first group show levels half those of the second group since the former's induced savings are obviously greater than the latter.