• Journal of Distribution Science
• /
• v.9 no.2
• /
• pp.83-95
• /
• 2011

Conventional markets in Korea have played a pivotal role in the vitalization of local communities and economies along with the distribution of products. Although many people believe the markets to be disorderly, they are lively and provide local people with things to enjoy, watch and buy. However, superstores have undergone a mushrooming proliferation since Korea opened its gates to multinational superstores in 1996. This phenomenon has caused a crisis for Korea's conventional markets. They have lost their competitiveness because of this environmental change, inefficient management, and their outmoded facilities. Government efforts to revitalize the markets have centered on redevelopment of the facilities, a perspective that has caused not only the fall of the old business districts but also the decline of the distribution function. Under these conditions, the traditional market has re-entered into competition. The Korean government enacted a special law to revitalize the conventional markets and has been implementing many policies to support them since 2003. In 2009, the government amended the law and adopted the Business Improvement District System. The government also changed the official term from 'old markets' to 'Conventional markets'. Despite this legal amendment, though, we still need to re-establish the concept of the Conventional market. Historically, markets grew up spontaneously to dispose of surplus products. Some manmade markets were established through urban planning or as public facilities. Their businesses transactions have always been based on mutual trust between consumers and trades people, the traditional way of commercial dealing. Conventional markets can be defined, then, as creatures of societal necessity where transactions for services and products are based on mutual trust. Problematically, unlisted markets are left out of government support. Although unlisted markets have performed almost the same functions as listed markets, they exist only as a statistic as far as the special law is concerned. In some areas, there are more unlisted markets than unlisted ones. Therefore, it is necessary to establish systematic management methods for the unlisted markets. Some unlisted markets received support in the form of facility improvement from local governments' budgets in the early stage of the special law's enforcement. The current government also assists with safety issues involving unlisted markets; however, the current special law provides no legal framework for unlisted markets. Moreover, consumers cannot tell the difference between unlisted markets and listed ones. Finding a solution to this problemrequires new standards and a wider scope of support by which the efficiency of the market improvement support system might be enhanced.

• Korean small business review
• /
• v.41 no.2
• /
• pp.51-78
• /
• 2019

The purpose of this study is to classify unlisted companies' entering method into stock market and to find out a advantageous choice between IPO and SPAC. The research samples are two types(79 IPO companies and 46 SPAC companies) of 125 companies. Which were being listed in the KOSDAQ market from 2010 to 2017. The analysis results are as follows. At first, after analyzing the impact of well known variables such as asset size, company history and number of employees to select listing methods. I found that the variables of asset size and company history have a significant negative (-) effect on the SPAC variable. Secondly, the debt ratio variable has a significant positive (+) effect on the SPAC variable. Third, it was found that the ratio of profitability variables, such as operating income to sales have a systematically positive (+) effect on the SPAC variable. Fourth, I analyzed the impact of the largest stockholder in unlisted companies on the selection of listing methods. I found that the largest stockholder are systematically having a positive (+) effect on SPAC. The result means that unlisted companies that chose SPAC have the larger shareholder shares that are relatively higher than the unlisted companies that chose IPO.

• Korean Business Review
• /
• v.17 no.2
• /
• pp.25-39
• /
• 2004

This paper examines the effect of the amendment of the valuation method for unlisted stocks in the inheritance tax law. There were many criticisms on the valuation method of the inheritance tax law because the method is not effective in the respect of the fairness in taxation. The method in the inheritance tax law was amended four times since the year 1991. This research focused on whether these amendments increased the impartiality in taxation or not. The finding of the empirical test indicates that as the valuation method were amended, the stock prices calculated by the valuation method were closer to the real stock price. On this ground, I could conclude that the amendments were effective in decreasing the partiality in taxation. In spite of the result, considering the cycle of stock market, I found that the problem of unlisted stock valuation in the inheritance tax law. The law lacks flexibility and elasticity.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.3
• /
• pp.9-15
• /
• 2020

This paper investigates how economic freedom affected firm investment in Vietnam. In the globalization decade, economic freedom has been an important policy to support economic development in Vietnam. Improvements in economic freedom, such as capital freedom and domestic credit freedom, allow firms to access external finance more easily, so that the firm's investment depends less on internal cash flow. In a developing country, on the drawbacks, many small and medium firms likely have more challenges if the government would not give any subsidies. The higher level of freedom may exacerbate the financing constraints of less competitive firms. We analyze unique firm-level data from 2006 to 2016, which includes listed firms on two major stock exchanges and unlisted firms in the Unlisted Public Company Market. The article also considers how economic freedom affects small firms and large firms differently. Our results show that capital freedom and domestic credit freedom played an important role in investments for Vietnamese firms. However, we cannot find evidence that overall economic freedom relaxed the financial constraints on firms. Additionally, we suggest that small firms likely gain more advantage in access to external finance than do larger firms when the government removes restrictions from capital movement and the domestic credit market.

• Journal of Venture Innovation
• /
• v.2 no.2
• /
• pp.127-140
• /
• 2019

A stock valuation on the tax law is based on the valuation by market price. But, unlike the listed stocks, the unlisted stocks mostly have the unclear market price. Accordingly, it is necessary to calculate the fair value which corresponds to the market price. The purpose of this paper is to examine the appropriateness of the complementary valuation method in the Inheritance Tax and Gift Tax Act and to provide suggestions for improvement. This study is intended to provide the problems and solutions relating to the valuation of unlisted stocks through analysis of foreign legal systems and actual disputes. When the actual profit/loss data are used to calculate the net profit/loss value on the present regulations, it has the different weight on the latest 3 years' net profits and losses uniformly. Therefore, to extend the range of unlisted stocks valuation and to show the independent and high professionalism of appraisal council not the subsidy appraisal agency of the National Tax Service, it is necessary to change the current rule that the commissioner of the National Tax Service unilaterally appoints the private members into the method of public offering.

• Journal of Intelligence and Information Systems
• /
• v.8 no.1
• /
• pp.1-13
• /
• 2002

Estimating the Value-at-Risk (VaR) of a non-listed or newly listed company in stock market is impossible due to lack of stock exchange data. This study employes Case-Based Reasoning (CBR) for estimating VaR's of those companies. CBR enables us to identify and select existing companies that have similar financial and non-financial characteristics to the unlisted target company. The VaR's of those selected companies can give estimates of VaR for the target company. We developed a system called VAS-CBR and showed how well the system estimates the VaR's of unlisted companies.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.3
• /
• pp.1241-1248
• /
• 2021

This study employs data from CRSP/Compustat files for the period from 2003 to 2017 and applies a panel data analysis. The results of this study show a positive relationship between trade credit and the firm's market value, however, the results show a negative relationship if we test the impact of financial credit on the firm's market value. The results have direct policy implications for investors, the firm's management, and financial strategy. An implication of our study is that using trade credit as a source of financing may give a positive signal of the firm's creditworthiness and increase the firm's market value. Also, the results of our study indicate that the benefits of using trade credit may outperform the cost of using it as a source of finance. Prior studies examine the impact of financial leverage on the firm's value, however, this study contributes to the existing studies that examine the factors that affect the firm's market value by examining the impact of using trade credit finance on the firm's market value. The main limitation of this study is that the results are based on listed firms, using data from unlisted firms is not available.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.3
• /
• pp.29-40
• /
• 2020

The research aims to explore the links among corporate governance, corporate social responsibility, and earnings management, considering vital roles of each component in Vietnam. There were 500 questionnaires provided to the targeted enterprises, where there were 150 enterprises in Ho Chi Minh Stock Exchange, 150 enterprises in Hanoi Stock Exchange, and 200 enterprises in the unlisted public company market. Of the distributed questionnaires, only 289 replies offered needed information for analyses. The data derived from these firms was based on their annual or sustainability statements that were retrieved from the websites. This research used a six-year rolling window to calculate earnings management. To compute that variable, lagged year information was included, so the data from 2011 to 2017 was needed to collect. The empirical results show that corporate governance mechanism is a significant moderation in the positive link between good corporate social responsibility and earnings management. Furthermore, corporate social responsibility and earnings management also play mediating roles in the associations among corporate governance, corporate social responsibility, and earnings management. This project recommends that corporate governance mechanism is an essential driver of the managerial behaviors in social responsibility and ethical accounting practices, which are in turn mediators in the joint research model.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.9
• /
• pp.1-10
• /
• 2020

The purpose of this study is to investigate the relationship between diversification and the performance of commercial banks, while taking into account the ownership status of these banks in Sri Lanka. Two-way relationship between diversification and performance was scrutinised by employing the 2SLS regression technique. The data consists of 17 registered commercial bank in Sri Lanka between 2001-2016. The results show a strong significant bidirectional relationship exists between diversification and bank performance. The performance of Sri Lankan banks has been significantly improved by their diversification attempts. In other words, the banks whose incomes are more diversified from various sources, they are more profitable and successful in long-term. On the other hands, the results also reveal that bank performance positively and significantly affects diversification. This finding suggests that the banks with great profitability are more capable in diversify their operations. Furthermore, private sector banks, both listed and unlisted, are significantly more diversified than their government-owned counterparts, but their performance is not necessarily superior to government-owned banks. This may be the result of the economic environment and the perception of the public, which have allowed the government-owned banks to entertain significant market power over the private sector banks in the country.

• Journal of Intelligence and Information Systems
• /
• v.26 no.2
• /
• pp.105-129
• /
• 2020

This study uses corporate data from 2012 to 2018 when K-IFRS was applied in earnest to predict default risks. The data used in the analysis totaled 10,545 rows, consisting of 160 columns including 38 in the statement of financial position, 26 in the statement of comprehensive income, 11 in the statement of cash flows, and 76 in the index of financial ratios. Unlike most previous prior studies used the default event as the basis for learning about default risk, this study calculated default risk using the market capitalization and stock price volatility of each company based on the Merton model. Through this, it was able to solve the problem of data imbalance due to the scarcity of default events, which had been pointed out as the limitation of the existing methodology, and the problem of reflecting the difference in default risk that exists within ordinary companies. Because learning was conducted only by using corporate information available to unlisted companies, default risks of unlisted companies without stock price information can be appropriately derived. Through this, it can provide stable default risk assessment services to unlisted companies that are difficult to determine proper default risk with traditional credit rating models such as small and medium-sized companies and startups. Although there has been an active study of predicting corporate default risks using machine learning recently, model bias issues exist because most studies are making predictions based on a single model. Stable and reliable valuation methodology is required for the calculation of default risk, given that the entity's default risk information is very widely utilized in the market and the sensitivity to the difference in default risk is high. Also, Strict standards are also required for methods of calculation. The credit rating method stipulated by the Financial Services Commission in the Financial Investment Regulations calls for the preparation of evaluation methods, including verification of the adequacy of evaluation methods, in consideration of past statistical data and experiences on credit ratings and changes in future market conditions. This study allowed the reduction of individual models' bias by utilizing stacking ensemble techniques that synthesize various machine learning models. This allows us to capture complex nonlinear relationships between default risk and various corporate information and maximize the advantages of machine learning-based default risk prediction models that take less time to calculate. To calculate forecasts by sub model to be used as input data for the Stacking Ensemble model, training data were divided into seven pieces, and sub-models were trained in a divided set to produce forecasts. To compare the predictive power of the Stacking Ensemble model, Random Forest, MLP, and CNN models were trained with full training data, then the predictive power of each model was verified on the test set. The analysis showed that the Stacking Ensemble model exceeded the predictive power of the Random Forest model, which had the best performance on a single model. Next, to check for statistically significant differences between the Stacking Ensemble model and the forecasts for each individual model, the Pair between the Stacking Ensemble model and each individual model was constructed. Because the results of the Shapiro-wilk normality test also showed that all Pair did not follow normality, Using the nonparametric method wilcoxon rank sum test, we checked whether the two model forecasts that make up the Pair showed statistically significant differences. The analysis showed that the forecasts of the Staging Ensemble model showed statistically significant differences from those of the MLP model and CNN model. In addition, this study can provide a methodology that allows existing credit rating agencies to apply machine learning-based bankruptcy risk prediction methodologies, given that traditional credit rating models can also be reflected as sub-models to calculate the final default probability. Also, the Stacking Ensemble techniques proposed in this study can help design to meet the requirements of the Financial Investment Business Regulations through the combination of various sub-models. We hope that this research will be used as a resource to increase practical use by overcoming and improving the limitations of existing machine learning-based models.