In global, there is an active movement to reduce the green house gas. Allowance and carbon tax are the one of effective alternatives to mitigate green gas effect. In addition, the clean development machinism(CDM) can be applied between the ANNEX 1 and developing countries. It could be an one good solution to reduce the GHG. In the Northern Asia, the CDM can be the one of the possible solution to reduce the GHG because the Japan has a responsibility to reduce GHG and the China and Korea have a room to supply CDM credit. It is suffice to say that if these three countries decide to collaborate, the new international carbon market can be established that can be the similar form of EU-ETS. It is clear that few barriers must be removed to launched such new form of carbon market. Protection of domestic technology, excessive financial request of business opportunities by CDM, and irrational needs of carbon credit that created by CDM, listed constraints define as an one single word, the national selfishness. Once it is cleared, there is high possibility that the Northern Asia CDM trading system can be launched.
In the context of today's business environment, not only is the nation or company's credit rating considered very important in our recent society, but it is also becoming important in international transactions. Likewise, at this point of time when the importance and reliability of credit evaluation are becoming important at home and abroad, this study analyzes financial ratios related to corporate profitability, safety, activity, financial growth, and profit growth to study the impact of financial indicators on enterprise value and corporate taxes on credit evaluation. To proceed with this, the financial ratio of 465 companies of KOSPI securities listed in 2017 was calculated and the impact of enterprise value and corporate taxes on credit evaluation was analyzed. Especially, this further study tried to derive a reliable and consistent conclusion by analyzing the financial data of KOSPI securities listed companies for eight years from 2011, which is the first year of K-IFRS introduction, to 2018. Research has shown that the significance levels among variables that show the profitability, safety, activity, financial growth, and profit growth of each financial ratio were significant at the 99% level, except for the profit growth. Validation of the research hypothesis found that while the profitability of KOSPI-listed companies significantly affects corporate value and income tax, indicators such as safety ratio and growth ratio do not significantly affect corporate value and income tax. Activity ratio resulted in significant effects on the value of enterprise value but not significant impacts on income taxes. In addition, it was found that the enterprise value has a significant effect on the company's credit and corporate income taxes, and that corporate income taxes also have a significant effect on the corporate credit evaluation, and this also shows that there is a mediating function of corporate tax. And as a result of further study, when looking at the financial ratio for eight years from 2011 to 2018, it was found that two variables, KARA and LTAX, are significant at a 1% significant level to KISC, whereas LEVE variables is not significant to KISC. The limitation of this study is that credit rating score and financial score cannot be said to be reliable indicators that investors in the capital market can normally obtain, compared to ranking criteria for corporate bonds or corporate bills directly related to capital procurement costs of enterprise. Above all, it is necessary to develop credit rating score and financial score reflecting financial indicators such as business cash flow or net assets market value and non-financial indicators such as industry growth potential or production efficiency.
The primary purpose of this study is to examine the impact of new BIS regulation, which is the preparations to incorporate not only credit risk but also market and operation risk, on the bank behaviors. As methodology, SUR(seemingly unrelated regression) and pool unit test are used in the empirical analysis of banks survived in Korea. It is employed that quarterly data of BIS capital ratio, ratio of standard and below loans to total loans, ratio of liquid assets to liquid liabilities, allowances for credit losses, real GDP, yields of corporate bonds(3years, AA) covering the period of 2000Q1~2009Q1. As a result, it could be indicated that effectiveness and promoting improvements of BIS capital regulation policy as follows; First, it is explicitly seen that weight of lending had decreased and specific gravity of international investment had increased until before BIS regulation is built up a step for revised agreement in late 2001. Second, after more strengthening of BIS standard in late 2002, banks had a tendency to decrease the adjustment of assets weighted risk through issuing of national loan that is comparatively low profitability. Also, it is implicitly sought that BIS regulation is a bit of a factor to bring about credit crunch and then has become a bit of a factor of economic stagnation. Third, as the BIS regulation became hard, it let have a effort to raise the soundness of a credit loan because of selecting good debtor based on its credit ratings. Fourth, it should be arranged that the market disciplines, the effective superintendence system and the sound environment to be able to raise enormous bank capital easily, against the credit stringency and reinforce the soundness of banks etc. in Korea capital market.
Since previous default forecasting models for the firms evaluate the probability of default based upon the accounting data from book values, they cannot reflect the changes in markets sensitively and they seem to lack theoretical background. The market-information based models, however, not only make use of market data for the default prediction, but also have strong theoretical background like Black-Scholes (1973) option theory. So, many firms recently use such market based model as KMV to forecast their default probabilities and to manage their credit risks. Korean firms also widely use the KMV model in which default point is defined by liquid debt plus 50% of fixed debt. Since the debt structures between Korean and American firms are significantly different, Korean firms should carefully use KMV model. In this study, we empirically investigate the importance of debt structure. In particular, we find the following facts: First, in Korea, fixed debts are more important than liquid debts in accurate prediction of default. Second, the percentage of fixed debt must be less than 20% when default point is calculated for Korean firms, which is different from the KMV. These facts give Korean firms some valuable implication about default forecasting and management of credit risk.
The Journal of Asian Finance, Economics and Business
/
v.8
no.5
/
pp.543-549
/
2021
The stock market plays a crucial role in the growth of industry and trade, which eventually affects the economy. This paper studies the determinants of stock market development in Jordan using yearly time-series data (1978-2019). The autoregressive distributed lag approach is applied to examine co-integration, while the vector error correction model is employed to estimate (long-run and short-run) causal relationships. The results show that macroeconomic determinants such as gross domestic product, gross domestic savings, investment rate, credit to the private sector, broadest money supply, stock market liquidity, and inflation rate are important determinants of stock market development. These findings provide vital implications for policymakers in developed and emerging stock markets. First, economic development plays an imperative role in stock market development. Second, developing the banking sector is mandatory because it can significantly promote stock market development. Third, domestic investment is a significant determinant of stock market development, especially in emerging countries. However, it is vital to launch policies that lead to encourage investment and promote stock market development, and this could be done through (1) encouraging competition, (2) improving the institutional framework, and (3) removing trade blocks by establishing a mutual connection between foreign private investment entities and government authorities.
In the remarkable growth of P2P financial platform in the field of knowledge management, only companies with big data and machine learning technologies are surviving in fierce competition. The ability to analyze borrowers' credit is most important, and platform companies are also recognizing this capability as the most important business asset, so they are building a credit evaluation system based on artificial intelligence. Nonetheless, online P2P platform providers that offer related services only act as intermediaries to apply for investors and borrowers, and all the risks associated with the investments are attributable to investors. For investors, the only way to verify the safety of investment products depends on the reputation of P2P companies from newspaper and online website. Time series information such as delinquency rate is not enough to evaluate the early stage of Korean P2P makers' credit analysis capability. This study examines the credit analysis procedure of P2P loan platform using artificial intelligence through the case analysis method for well known the top three companies that are focusing on the credit lending market and the kinds of information data to use. Through this, we will improve the understanding of credit analysis techniques through artificial intelligence, and try to examine limitations of credit analysis methods through artificial intelligence.
Journal of the Korean Society of Clothing and Textiles
/
v.24
no.6
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pp.787-798
/
2000
This study intended to investigate the benefits sought in 2(i s female formal wear and the clothing behaviors of 20's working women segmented by the benefits of female apparel and to provide marketing strategy on the segmented market. The subject of this study were 605 working women in their 20's living in seoul, and survey based on references and formal studies was used. The results of data analysis are as follows: 1. The factor structures of the benefit sought in clothing products were classified into symbolismㆍaesthetics, and practicality. 2. Consumer groups were segmented into four groups by the benefit factors sought in clothing products. 3. Product involvement, fashion involvement, information search and brand loyalty were proven significantly different among the segmented consumer groups. Demographic variables and purchasing traits such as subjective social class, average monthly expenditure on clothing, and usage of fashion credit card or credit cards were proven to significantly different among the segmented consumer groups.
As for Korea, China is very important because of an advantageous geological accessibility and high economic dependency. Therefore, the Korean government announced its plan to establish 5billion dollars' investment from Greater China (including Hong Kong and Singapore) and the government has put much effort into accommodating more Chinese investment by diversifying investment channels from Greater China. Under this major Chinese investment boom, it is crucial to conduct in-depth research on accommodation of Chinese investment and create a plan to establish Chinese capital investment that will benefit both the investing country and the countries receiving the investment. Hence, the present study analyzed current trends in Chinese investment for the Korean market, focusing on the stimulation methodology for establishing greater investment from China. To this end, this paper examined various investment characteristics of Chinese investors for the Korean market by researching investment development levels on different time lines and analyzing Chinese investment in Korea for a variety of industries. Through the research, the following study derived a more effective strategy to accommodate greater Chinese capital investment. There has been a worldwide increase in the number of letter of credit cases involving fraud recently. It may happen that the documents which are tendered to the banks under a documentary credit are forged, altered or fraudulent. Banks assume no liability or responsibility for the form, sufficiency, accuracy, genuineness or falsification of any documents.
SANYAL, Shouvik;HISAM, Mohammed Wamique;BAAWAIN, Ali Mohsin Salim
The Journal of Asian Finance, Economics and Business
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v.7
no.2
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pp.281-289
/
2020
This research analyses the challenges facing SMEs in Oman in their quest for internationalization. The study is based on the OECD Model of Internationalization put forward in the report titled "How to Foster the Internationalization of SMEs through the Pacific Alliance Integration Process" which focuses on four factors namely finance, business environment, firm capabilities and market access, which are appropriate for an emerging economy like Oman. This study used a descriptive and quantitative research design in attempting to analyze the challenges being faced by Omani SMEs in their endeavors to internationalize. The research investigates causal relationship between variables using positivist and deductive approach. Data collected from 102 respondents was analysed by Structural Equation Modeling(SEM) using AMOS. It was found that finance availability was the most significant predictor of internationalization challenges followed by market access and business environment, while firm capabilities had no impact. Thus SMEs need easier access to credit and have to develop their international business networks and their marketing capabilities in order to grow internationally. Keeping in mind the contribution made by SMEs the government has to intervene by opening up easy lines of credit to SME exporters and allowing them relaxations in customs and other duties.
The Journal of Economics, Marketing and Management
/
v.9
no.5
/
pp.39-50
/
2021
Purpose: This study is to analyze the changes of consumption patterns to diagnose the economic impacts on consumers' market during COVID-19, and to suggest implications to overcome the new social and economic crisis of Jeju Island. Research design, data, and methodology: We collected a set of credit card transaction records issued by BC Card Company from merchants in Jeju Special Self-Governing Province for past 4 years from 2017 to 2020 from the Jeju Data Hub run by Jeju Special Self-Governing Province. The big data contains details of approved credit card transactions including the approval numbers, amount, locations and types of merchants, time and age of users, etc. The researchers summed up amount in monthly basis, transforming big data to small data to analyze the changes of consumption before and after COVID-19. Results: Sales fell sharply in transportation industries including airlines, and overall consumption by age group decreased while the decrease in consumption among the seniors was relatively small. The sales of Yeon-dong and Yongdam-dong in Jeju City also fell significantly compared to other regions. As a result of the paired t-test of all 73 samples in Jeju City, the p-value of the mean consumption of the credit card in 2019 and 2020 is significant, statistically proven that the total consumption amount in the two years is different. Conclusions: We found there are sensitive spots that can be strategically approached based on the changes in consumption patterns by industry, region, and age although most of companies and small businesses have been hit by COVID-19. It is necessary for local companies and for the government to be focusing their support on upgrading services, in order to prevent declining sales and job instability for their employees, creating strategies to retain jobs and prevent customer churn in the face of the crisis. As Jeju Province is highly dependent on the tertiary industry, including tourism, it is suggested to create various strategies to overcome the crisis of the pandemic by constantly monitoring the sales trends of local companies.
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