• Journal of Digital Convergence
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• v.2 no.1
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• pp.145-160
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• 2004

P Leasing Company was a steady growing company with positive net income in most years since 1985 when it was established. However, it suddenly experienced a minus net income of 6.8 billion won in 1996. The reason of its deficit was known to be the financial distress of its two major leasing contracts. The total amount of two contracts was 58 billion won witch is about 8% of total amount of its leasing contracts. In this paper, we analyse how the disability of lease payments from the two leasing contracts influence P Leasing Company's financial stability, growth opportunity, and profitability. In addition, by performing ROI analyse, we point out the financial reasons of P Leasing Company's deficit in 1996. We hope our case analysis to help students understand the cash flow of leasing companies. The P Leasing Company case also illustrates the fact that bad leasing contracts would seriously affect the profitability of leasing companies as bad loans would seriously do the profitability of commercial banks.

• Korean Journal of Human Ecology
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• v.14 no.4
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• pp.613-629
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• 2005

This research analyzes household financial structures and ratios to understand factors of household utility. Its main themes are as following: First, what kinds financial structures are found at each level of income? Second, how are they different by the level of income? Third, what factors contribute to appropriate financial ratios? The themes are supported by the texts on financial ratios from both inside and outside of Korea and proved by the Korean Labor and Income Panel Survey, the fifth annual edition. The households are exempted that do not support the household principle record in the principle and household economy record. Accordingly, this survey is from a financial structure analysis of 3,762 households. The analysis utilizes SPSS Window (Version 10.0) program. The following are the results: First, the income level 4 and above, in which the increasing number indicates a higher level of income, are highly ranked on the income-expense level and the asset-debt rate. Also, level 4 has a strong financial structure, whereas level 1 does not. Apparently, the management of the household is complicated by debt redemption and a lower level of assets. Second, Ratio 1, Ratio 2, Ratio 4, and Ratio 5 are different by the level of income. Third, the level of income contributes to the appropriate financial ratio. The financial safety and prospective financial structure at each income level is an important variable. Households with a high income, in particular, have to balance their finances and capital, reducing liabilities and increasing the total assets. In other words, the family must hold assets to enhance efficiency according to the character and income level of the household. This research is a useful resource for such a decision-making as to improve household financial structure stability. Also, it can be adopted to evaluate financial products for specific households and be used for economic and social welfare planning to predict how households influence the nationwide economy.

• Management & Information Systems Review
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• v.38 no.4
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• pp.25-39
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• 2019

The purpose of this study is to analyze the management performance of hospitals by analyzing the ratio of stability, profitability ratio, and growth rate through the financial ratios of medical institutions using accounting information disclosure data of medical institutions, financial status table and profit and loss statement. The main goal is to analyze and analyze financial statements of medical institutions' accounting information in 2016 and 2017, analyze the difference and analyze the general characteristics and financial ratios by type, type and size of medical institutions, The financial characteristics of medical institutions were identified. The ratio of stability, profitability, and growth rate through financial ratios were compared and analyzed. In addition, we analyzed the correlation between the medical profit margin, the total asset profit margin, the medical profit margin rate, and the net profit margin of the medical institutions through the financial ratios of accounting information disclosure data of medical institutions. The main results are as follows: First, the size of the hospital and the size of the debt through the change of assets, liabilities and capital of the financial statement are increasing, the size of own capital is relatively decreased, and the management performance is getting worse It is showing. Second, the increase in average medical revenues in the income statement is small, and the average increase in net profit is small. Thus, medical institutions were able to confirm the difficulty in creating profits through medical activities. In addition, there was a large difference in the debt ratio, the stability ratio, and the profitability ratio of the general hospitals and the general hospitals according to the types of medical institutions, and the difference in the average financial ratios of national and public hospitals, school corporation hospitals, I could confirm. The correlation between independent variables in the correlation was -0.904 between the capital ratio and the total assets turnover ratio, -0.800 between the labor cost ratio and the hospital income ratio, and -0.631 between the labor cost ratio and the foreign profit ratio. In order to improve the management deterioration of hospitals by using accounting information disclosure data of medical institutions, it is necessary to have a large effect on the net profit margin of the medical care and the net profit margin of the total assets.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.11
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• pp.203-212
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• 2021

Theoretically, economic growth necessitates financial liberalization. Thus, the current research examines the effect of financial liberalization on economic growth in emerging nations, with a particular focus on Egypt and Saudi Arabia. To determine this effect, the study employs a model that uses Gross Domestic Product growth as the dependent variable and the following macroeconomic variables as financial liberalization indices: Broad money as a percentage of GDP, Domestic bank credit to the private sector as a percentage of GDP, Monetary sector credit to the private sector as a percentage of GDP, Net inflows of foreign direct investment as a percentage of GDP. All data is annual data of Egypt and the Kingdom of Saudi Arabia for the period 1970-2018 obtained from the World Bank open data website. The empirical investigation employs the Autoregressive Distributed Lag (ARDL) approach. The findings indicate that, after more than three decades of implementation, both countries' financial and external liberalization policies do not have a favorable effect on their economies' growth rates. Additionally, this study has led us to conclude that any financial liberalization policy in both countries must be preceded by the strengthening of these countries' financial development and institutional frameworks, as well as the achievement of macroeconomic stability.

• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.59-77
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• 2012

This study focuses on predicting which firms will increase capital by issuing new stocks in the near future. Many stakeholders, including banks, credit rating agencies and investors, performs a variety of analyses for firms' growth, profitability, stability, activity, productivity, etc., and regularly report the firms' financial analysis indices. In the paper, we develop predictive models for rights issues using these financial analysis indices and data mining techniques. This study approaches to building the predictive models from the perspective of two different analyses. The first is the analysis period. We divide the analysis period into before and after the IMF financial crisis, and examine whether there is the difference between the two periods. The second is the prediction time. In order to predict when firms increase capital by issuing new stocks, the prediction time is categorized as one year, two years and three years later. Therefore Total six prediction models are developed and analyzed. In this paper, we employ the decision tree technique to build the prediction models for rights issues. The decision tree is the most widely used prediction method which builds decision trees to label or categorize cases into a set of known classes. In contrast to neural networks, logistic regression and SVM, decision tree techniques are well suited for high-dimensional applications and have strong explanation capabilities. There are well-known decision tree induction algorithms such as CHAID, CART, QUEST, C5.0, etc. Among them, we use C5.0 algorithm which is the most recently developed algorithm and yields performance better than other algorithms. We obtained data for the rights issue and financial analysis from TS2000 of Korea Listed Companies Association. A record of financial analysis data is consisted of 89 variables which include 9 growth indices, 30 profitability indices, 23 stability indices, 6 activity indices and 8 productivity indices. For the model building and test, we used 10,925 financial analysis data of total 658 listed firms. PASW Modeler 13 was used to build C5.0 decision trees for the six prediction models. Total 84 variables among financial analysis data are selected as the input variables of each model, and the rights issue status (issued or not issued) is defined as the output variable. To develop prediction models using C5.0 node (Node Options: Output type = Rule set, Use boosting = false, Cross-validate = false, Mode = Simple, Favor = Generality), we used 60% of data for model building and 40% of data for model test. The results of experimental analysis show that the prediction accuracies of data after the IMF financial crisis (59.04% to 60.43%) are about 10 percent higher than ones before IMF financial crisis (68.78% to 71.41%). These results indicate that since the IMF financial crisis, the reliability of financial analysis indices has increased and the firm intention of rights issue has been more obvious. The experiment results also show that the stability-related indices have a major impact on conducting rights issue in the case of short-term prediction. On the other hand, the long-term prediction of conducting rights issue is affected by financial analysis indices on profitability, stability, activity and productivity. All the prediction models include the industry code as one of significant variables. This means that companies in different types of industries show their different types of patterns for rights issue. We conclude that it is desirable for stakeholders to take into account stability-related indices and more various financial analysis indices for short-term prediction and long-term prediction, respectively. The current study has several limitations. First, we need to compare the differences in accuracy by using different data mining techniques such as neural networks, logistic regression and SVM. Second, we are required to develop and to evaluate new prediction models including variables which research in the theory of capital structure has mentioned about the relevance to rights issue.

• The Journal of the Convergence on Culture Technology
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• v.9 no.4
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• pp.649-657
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• 2023

With the rise of fintech services, the importance of UX Writing in digital channel is growing. However, there is a lack of research on how different types of UX Writing in fintech services specifically affect user's satisfaction. In order to determine the impact of UX Writing style in fintech services on user's satisfaction, this study used a 2x2 mixed design with using formality in Korean and financial jargon as independent variables to measure trust, conciseness, psychological stability, and completeness. The results showed that higher levels of conciseness, psychological stability, and completeness when not using jargon than using jargon. Using formality in Korean did not show a main effect for any of the dependent variables, but it was occurred that higher levels of conciseness, psychological stability, and completeness with using formality in Korean but not using jargon. The significance of this study is that it empirically verified how using formality and financial jargon in UX Writing of fintech services affects user satisfaction.

• Information Systems Review
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• v.20 no.4
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• pp.79-96
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• 2018

This study started by focusing on the internalization of the technology appraisal model into the credit rating model to increase the discriminative power of the credit rating model not only for SMEs but also for all companies, reflecting the items related to the financial stability of the enterprises among the technology appraisal items. Therefore, it is aimed to verify whether the technology appraisal model can be applied to identify high-stability SMEs in advance. We classified companies into industries (manufacturing vs. non-manufacturing) and the age of company (initial vs. non-initial), and defined as a high-stability company that has achieved an average debt ratio less than 1/2 of the group for three years. The C5.0 was applied to verify the discriminant power of the model. As a result of the analysis, there is a difference in importance according to the type of industry and the age of company at the sub-item level, but in the mid-item level the R&D capability was a key variable for discriminating high-stability SMEs. In the early stage of establishment, the funding capacity (diversification of funding methods, capital structure and capital cost which taking into account profitability) is an important variable in financial stability. However, we concluded that technology development infrastructure, which enables continuous performance as the age of company increase, becomes an important variable affecting financial stability. The classification accuracy of the model according to the age of company and industry is 71~91%, and it is confirmed that it is possible to identify high-stability SMEs by using technology appraisal items.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.1
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• pp.1-19
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• 2016

While previous studies on service failures mainly focused on general services, this study examines the effects of failed financial services on the psychological process and behavioral responses of consumers. The important factors of financial service (relational benefits, convenience, branch satisfaction, product diversity, company stability, and product profitability) are regarded as antecedents in our model. We study how each factor of failed financial service affects the negative emotions of consumers through the attribution process and how these arising emotions influence their behavioral responses. Through path analysis, this study shows that failure of service factors of relational benefits, branch satisfaction, and convenience induces disappointment, with the mediation effect of external attribution. Meanwhile, failure of service factors of product diversity and product profitability induces regret, with the mediation effect of internal attribution. Disappointment leads to complaint behavior, and regret leads to switching behavior. Unlike previous studies, the present one considers the important factors of financial service and their effects on the affective and behavioral responses of consumers.

• Journal of Korean Society for Quality Management
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• v.44 no.3
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• pp.617-638
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• 2016

Purpose: The purpose of this study is to propose useful suggestions by analyzing difference of financial performance between "Excellent Quality Competitiveness Enterprise(EQCE)" awarding companies and all the manufacturing companies during the period 2003-2014 and by testing the moderating effects of performance year. Methods: This paper perform the longitudinal study during the period 2003-2014. The collected data through list of National Quality Award and financial report of CRETOP were analyzed using independent-sample t-test, paired-sample t-test, one way ANOVA and empirical analysis. Results: The results of this study are as follows; EQCE showed higher growth rate than all the companies until 2008, but profitability, stability, and activity are not significantly different between the both. Therefore EQCE have partial influences on growth rate among several financial performance measures until 2008. Since 2009 there are no differences. The effects of EQCE on financial performance are different by the year. Conclusion: EQCE award system was a meaningful promotion method to enhance good financial performance through encouraging quality management for the manufacturing companies until 2008, But since 2009 it is expected to lose its role as a promoting tool for quality management and performance excellence. Therefore new way of thinking for EQCE, as a national quality award system, is necessary; changing awarding system, award criteria, or etc.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.239-246
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• 2021

This article substantiates the scientific provisions for modelling the level of Ukraine's public financial security taking into account the impact of budget policy, in the process of which identified indicators of budget policy that significantly affect the public financial security and the factors of budget policy based on regression analysis do not interact closely with each other. A seven-factor regression equation is constructed, which is statistically significant, reliable, economically logical, and devoid of autocorrelation. The objective function of maximizing the level of public financial security is constructed and strategic guidelines of budget policy in the context of Ukraine's public financial security are developed, in particular: optimization of the structure of budget revenues through the expansion of the resource base; reduction of the budget deficit while ensuring faster growth rates of state and local budget revenues compared to their expenditures; optimization of debt serviced from the budget through raising funds from the sale of domestic government bonds, mainly on a long-term basis; minimization of budgetary risks and existing threats to the public financial security by ensuring long-term stability of budgets etc.