• KDI Journal of Economic Policy
• /
• v.28 no.2
• /
• pp.239-262
• /
• 2006

The paper suggests that there has been a shift in the allocation of bank credit from large firms to small firms before and after the economic crisis. The paper also suggests that the improved lending practices of financial institutions, at least partially, contributed to this shift of corporate loans from large firms to small firms. Comparing the periods before and after the economic crisis also suggests that some important changes occurred to the corporate bond market. The effect of firm size on the corporate bond market differs before and after the economic crisis. Before the crisis, the larger the firms, the more they could borrow in the corporate bond market. However, after the crisis, it is not the case. The following interpretation could be put forward. Before the crisis, investors in the corporate bond market expected that the government would rescue large firms if they face the risk of bankruptcies. However, the collapse of Daewoo Group in 1999 shattered the TBTF (Too Big To Fail) myth of the public. The liquidity crisis of Hyundai Group in 2000-2001 reinforced the disintegration of the TBTF myth.

• Journal of the Korean Data and Information Science Society
• /
• v.14 no.4
• /
• pp.805-815
• /
• 2003

This study examines two hypothesis regarding return generating process of corporate bonds: the trading day hypothesis and calendar day hypothesis. To differentiate two hypothesis ANOVA(analysis of variance) and regression analysis were used. If the statistical result can not reject calendar day hypothesis, it implies that there is weekend effect. The statistical result didn't support any particular hypothesis for the period of September 7th, 1999 through December 31, 2002. However, corporate bonds were supporting calendar day hypothesis for the period of October 9, 2000 through December 31, 2002. The result indicates that the Korean corporate bond market got through the impact of IMF.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.22 no.50
• /
• pp.105-125
• /
• 1999

The results of analysis on foreign exchange market, stock and financial market after January of 1997 are that foreign exchange market will be affected by stock and financial market volatility about 1999. This means that stock and financial market are more stable than foreign exchange market. This also is supported by ‘financial market forecast of 1999 in Daewoo Economic Research Institute’. After won/dollar (end of period) will be increasing in 1,430 at second quarter of 1999, this is to downward 1,200 fourth quarter of 1999. This is somewhat based on government's higher exchange rate policy. But, after yield of corporate bond is to 11.0% at first quarter of 1999, this will be stable to 10.2% at fourth quarter. During the first quarter of 1999, yield of corporate bond is to somewhat increasing through sovereign debt and public bonds, technical adjustment of interest rate. After this, yield of corporate bond will be stable according to stability of price, magnification of money supply, restucturing of firms. So, stock market is favorably affected by stability of financial market. But, the pension and fund of USA, i.e., long-term portfolio investment fund, are injected through international firm's management. It is included by openness of audit, fair market about foreign investors. Finally, Moody's strong rating on the won-denominated bonds suggest that Korea's sovereign debt ratings could be restored to an investment grade in the near future. It sequentially includes inflow of foreign portfolio investment fund, fall of won/dollar foreign exchange rate (appreciation of won) and stability of yield of corporate bond.

• The Korean Journal of Financial Management
• /
• v.26 no.2
• /
• pp.63-91
• /
• 2009

This paper tests the validity of pecking order theory by Myers(1977) and Myers and Majluf(1984) on Korean manufacturing firms listed in the KRX for the years of 1994 to 2003. We also want to see if there is any difference in financing behavior between chaebol affiliated firms and non-chaebol affiliated firms. We develop testable hypotheses from the idea that established relationship between bank and firm mitigates the problem of information asymmetry (Kang and Lim, 2001), and thus makes it easier for firms to raise funds through banks. The test result of the first stage shows that firms prefer cash reserves to debt financing, and prefer debt to equity. Chaebol affiliated firms are found to behave as if they already exploit internal capital markets. The second stage of the test carried out by dividing debt capital into bank loans and corporate bonds also shows a consistent pattern of financing behavior. Firms are testified to prefer cash to bank loans, bank loans to corporate bonds, and corporate bonds to equity. In this case chaebol affiliation seems to make firms behave as if they already establish internal capital markets. Further analysis shows that some, though not in every case, difference of ordering around the occasion of Korean financial crisis exists. It may be from the change of attitude of Korean firms to risk, or from weakened influence of internal capital market along with strengthened market power in the post-crisis period.

• The Journal of Asian Finance, Economics and Business
• /
• v.5 no.4
• /
• pp.9-20
• /
• 2018

Global rating agencies, such as Moody's and S&P, have assigned credit ratings to corporate bonds issued by Japanese firms since 1980s. Local Japanese rating agencies, such as R&I and JCR, have more market share than the global raters. We examine the yield spreads of 1,050 yen-denominated corporate bonds issued by financial firms in Japan from 1998 to 2014 and find no evidence that bonds rated by at least one global agency are associated with a significant reduction in the cost of debt as compared to those rated by only local rating agencies. Unlike non-financial firms, the reputation effect of global rating agencies does not exist for Japanese financial firms. We also observe that firms with less information asymmetry are more likely to acquire ratings from Moody's or S&P. Additionally, the firm's financial profile does not affect its choice to seek out ratings from global raters. Our findings are contradictory to those by Han, Pagano, and Shin (2012), who employ bonds issued by non-financial firms in Japan. Our conjecture is that the asymmetric nature of financial firms makes investors less likely to depend on a credit risk assessment by rating agencies in determining the yields of new bonds.

• Asia-Pacific Journal of Business
• /
• v.14 no.3
• /
• pp.205-219
• /
• 2023

Purpose - This study examines the effect of corporate debt characteristics on the relationship between anti-takeover provision and the cost of debt. Design/methodology/approach - The study analyzes a sample of non-financial firms listed on the stock market with December fiscal year-end from 2011 to 2018. Debt default risk (debt size, liquidity ratio, interest coverage ratio, loss occurrence) and the issuance of bonds are utilized as measures of corporate debt characteristics. Findings - First, it is observed that creditors of firms with anti-takeover provision demand higher returns as the debt default risk of these firms increases. Second, for firms issuing bonds, it is found that bondholders in companies with anti-takeover provision also seek higher returns. Research implications or Originality - This study contributes by demonstrating that the effect of anti-takeover provision on creditors can vary depending on corporate debt characteristics. Particularly, the study highlights the importance of a firm's debt default risk and creditor distinction (bondholders vs. regular creditors) as significant factors that may influence perceptions of anti-takeover provision.

• Journal of Service Research and Studies
• /
• v.7 no.4
• /
• pp.139-150
• /
• 2017

Open economy tightly works with foreign economy. This paper investigates the effect of the shock of foreign bond yield on the credit spreads of domestic corporate bonds in Korea. Foreign bond is referred to as US treasury bond. Credit spreads are defined with the difference between log yields of domestic corporate bonds and log yield of Korea treasury bond. With the data of monthly three-year AA- and BBB- corporate bond yields- ratings, monthly three-year Korean treasury bond yields, monthly US dollar foreign exchange rates, and monthly three-year US Treasury bond yields during the period from October 2000 to September 2014 including global financial crisis period, the paper documents the results as follow. First of all, the yield of Korean treasury and the credit spreads are very sensitive to the increase in the level and the volatility of the yield of the US treasury bond. Changes in the level and the volatility little affect the change of the exchange rate. Second, the change in the level and the volatility negatively affect the level of Korean treasury bond yields but lead to the increase in the level of Korean treasury bond yields at the same time. Third, there exist time lags of the increases of credit spreads by the increase in the level and the volatility. These imply that credit spreads and bond yields are very sensitive to the change in the yields of foreign bonds such as US treasury bond.

• KDI Journal of Economic Policy
• /
• v.13 no.2
• /
• pp.3-19
• /
• 1991

This paper attempts to identify key determinants of long run movements of real M2 by using the Johansen procedure for estimating and testing cointegration relations. It turns out that the real M2 equation has been stable over the long run despite rapid changes in financial structure since 1975. Moreover, the real M2 equation can be reduced to a velocity equation with the opportunity cost variable, expected inflation less the weighted average rate paid on M2 deposits, being the key determinant. However, it does not work to use a market interest rate such as the yield on corporate bonds in place of expected inflation for calculation of the opportunity cost. In the U.S., a market interest rate can be used, but not in Korea. Presumably, two somewhat different reasonings can be used to explain this result. One is that the yield on corporate bonds may not adequately reflect the inflationary expectations due to regulations on movements in interest rates. The other is that M2 deposits are not readily substitutable with such assets as corporate bonds because of market segmentations, regulations, and so on. From the policymaker's point of view, this implies that the inflation rate is an important indicator of a policy response. On the other hand, policymakers do not regard movements of the yield on corporate bonds as an important policy indicator. Altogether, the role of interest rates has been quite limited in Korea because of incomplete interest rate liberalization, an underdeveloped financial system, implementation procedures of policy measures, and so on. The result that M2 velocity has a positive cointegration relation with expected inflation minus the average rate on M2 implies that frequent adjustments of the regulated rates on M2 will be necessary as market conditions change. As the expected inflation gets higher, M2 velocity will eventually increase, given that the rates on M2 do not change. This will cause higher inflation. If interest rates are liberalized, then increases in market interest rates will result in lagged increases in deposits rates on M2. However, in Korea a substantial portion of deposit rates are regulated and will not change without the authority's initiatives. A tight monetary policy will cause increases in a few market interest rates. But the market mechanism, upward pressure for interest rate adjustments, never reaches regulated deposit rates. Hence the overall effects of tight monetary policy diminish considerably, only causing distortions in the flow of funds. Therefore, frequent adjustments of deposit rates are necessary as market conditions such as inflationary expectations change. Then it becomes important for the policymaker to actively engage in adjusting regulated deposit rates, because the financial sector in Korea is not fully developed.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.1
• /
• pp.723-732
• /
• 2021

On September 25, 2015, 193 countries of the United Nations (UN) General Assembly, signed the 2030 Agenda to work towards attaining 17 Sustainable Development Goals (SDGs) and its associated 169 targets and 232 indicators. With one of the largest renewable energy programs, India is well-poised to be a role model for low-carbon transformation to other Asian countries. However, bridging the financing gap is critical to ensure that the country meets its SDG targets. Though the SDGs identified by the UN are broad-based and interdependent, for ease of analysis we have grouped them into five themes - people, planet, prosperity, peace, and partnership - based on existing UN models. This paper investigates the financing gap for 'green' projects linked to planet-related SDG targets in India. It builds an argument for utilizing green bonds as an instrument to bridge the gap. After establishing the potential of green bonds in raising the finance to meet India's planet-related SDG targets, we look at the current policy landscape and suggest recommendations for successful execution. The paper concludes that deepening of the corporate fixed income securities market and firming up guidelines in line with India's climate action plans are inevitable before green bonds can be considered a viable financing option.

• Asia pacific journal of information systems
• /
• v.19 no.2
• /
• pp.157-178
• /
• 2009

Corporate credit rating is a very important factor in the market for corporate debt. Information concerning corporate operations is often disseminated to market participants through the changes in credit ratings that are published by professional rating agencies, such as Standard and Poor's (S&P) and Moody's Investor Service. Since these agencies generally require a large fee for the service, and the periodically provided ratings sometimes do not reflect the default risk of the company at the time, it may be advantageous for bond-market participants to be able to classify credit ratings before the agencies actually publish them. As a result, it is very important for companies (especially, financial companies) to develop a proper model of credit rating. From a technical perspective, the credit rating constitutes a typical, multiclass, classification problem because rating agencies generally have ten or more categories of ratings. For example, S&P's ratings range from AAA for the highest-quality bonds to D for the lowest-quality bonds. The professional rating agencies emphasize the importance of analysts' subjective judgments in the determination of credit ratings. However, in practice, a mathematical model that uses the financial variables of companies plays an important role in determining credit ratings, since it is convenient to apply and cost efficient. These financial variables include the ratios that represent a company's leverage status, liquidity status, and profitability status. Several statistical and artificial intelligence (AI) techniques have been applied as tools for predicting credit ratings. Among them, artificial neural networks are most prevalent in the area of finance because of their broad applicability to many business problems and their preeminent ability to adapt. However, artificial neural networks also have many defects, including the difficulty in determining the values of the control parameters and the number of processing elements in the layer as well as the risk of over-fitting. Of late, because of their robustness and high accuracy, support vector machines (SVMs) have become popular as a solution for problems with generating accurate prediction. An SVM's solution may be globally optimal because SVMs seek to minimize structural risk. On the other hand, artificial neural network models may tend to find locally optimal solutions because they seek to minimize empirical risk. In addition, no parameters need to be tuned in SVMs, barring the upper bound for non-separable cases in linear SVMs. Since SVMs were originally devised for binary classification, however they are not intrinsically geared for multiclass classifications as in credit ratings. Thus, researchers have tried to extend the original SVM to multiclass classification. Hitherto, a variety of techniques to extend standard SVMs to multiclass SVMs (MSVMs) has been proposed in the literature Only a few types of MSVM are, however, tested using prior studies that apply MSVMs to credit ratings studies. In this study, we examined six different techniques of MSVMs: (1) One-Against-One, (2) One-Against-AIL (3) DAGSVM, (4) ECOC, (5) Method of Weston and Watkins, and (6) Method of Crammer and Singer. In addition, we examined the prediction accuracy of some modified version of conventional MSVM techniques. To find the most appropriate technique of MSVMs for corporate bond rating, we applied all the techniques of MSVMs to a real-world case of credit rating in Korea. The best application is in corporate bond rating, which is the most frequently studied area of credit rating for specific debt issues or other financial obligations. For our study the research data were collected from National Information and Credit Evaluation, Inc., a major bond-rating company in Korea. The data set is comprised of the bond-ratings for the year 2002 and various financial variables for 1,295 companies from the manufacturing industry in Korea. We compared the results of these techniques with one another, and with those of traditional methods for credit ratings, such as multiple discriminant analysis (MDA), multinomial logistic regression (MLOGIT), and artificial neural networks (ANNs). As a result, we found that DAGSVM with an ordered list was the best approach for the prediction of bond rating. In addition, we found that the modified version of ECOC approach can yield higher prediction accuracy for the cases showing clear patterns.