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

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.334-350
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• 2010

This study aims at investigating the possible effects on the tax accounting practices stemming from adopting the IFRS in financial reporting process. It also seeks for policy implications to help alleviate practical conflicts likely to arise from the inconsistencies between the existing tax law and the tax related IFRS provisions. The results of the survey analysis are summarized as follows: firstly, majority opinion is opposed to the fair value based revaluation of property assets as well as the application of immediate recognition of foreign currency translation gains/losses. It favors the existing provision on asset securitization which adopts sales transaction view. Secondly, most of the respondents oppose the proposed amendments which allows dual classification of lease contracts on the ground. Third, functional currency appears acceptable on a conceptual level, even though a deep concern is expressed regarding the practical feasibility of computing taxable income using financial statements translated on the basis of functional currency on a practical viewpoint. Fourth, many respondents support the existing convention of recognizing depreciation expenses for taxation purposes and are in favor of the separation of accounting and tax books on a long-term basis. Fifth, the majority opinion approves the maintenance of existing tax reconciliation system and the recognition of expenses related with the doubtful accounts on reporting basis. Finally, a concern is raised with regard to the added burden of practical job loads needed to comply with the proposed amendments.

• Journal of Korea Technology Innovation Society
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• v.20 no.2
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• pp.368-386
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• 2017

The purpose of this study is to present the technology value model based on profit approach and IITP practical guide for Ethernet network technology, which is the core technology of autonomous vehicles and connected cars in the hyper-connected industry. In-vehicle network, Ethernet technology, Ethernet port count, port pricing, and application data for technology assessment are sources of global market research organizations. The data on the company's COGS (Cost of Goods Sold), operating capital requirement, capital expenditure, and income statement data are used by the Bank of Korea's Business Analysis Report. According to the results of the study, the product market size was estimated to be US $470.3 billion and the technology market size was $52.1 billion over the seven years of economic life cycle of technology. The market value of the technology was estimated to be $260 million reflecting the possibility of entry into the market. In the case of the corporate management analysis report, the average value of the IITP and the top 25% were $0.7 million and $40.2 million, respectively. -27.8 million, and -73.6 million dollars respectively. This implies that government support for policy support is needed when conducting corporate R&D with high cost-to-sales ratio. The results of this study can be used as a reference for the evaluation of technology demand based ICT R&D technology in the industrial internet market in the fourth industrial revolution era.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.223-232
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• 2016

The purpose of the study is to explore the attitude of the Korean television drama in mongolia market impact Korea country image, corporate and product's image formation. The research is conducted effects of Korean image, its company, product and belief of its product and influence of procurement of Korean products in Mongolia in terms of Mongolian has enormously watched Korean drama since latest of 1990. Korean drama can influence Korean products image. Watching Kore and rama can influence view of Mongolian in quality of Korean products, design etc. Korean dramas can affect images of Korean company. Watching Korean drama can influence opinion of Mongolian in staff, culture, level of technique of Korean company moreover, competitiveness of Korean company in international market and etc. Korean drama can influence Korean image. Watching Korean drama can reach aspect of Mongolian in Korean education level, national security, reconstruction and income of population and etc. The most effective factor in product reliability and procurement was country image but company image can not influence that. In conclusion according to survey result within Mongolian customers that Korean drama has some influence in Korean image, its company image, product image, and product reliability and procurement of Korean product.

• Journal of the Economic Geographical Society of Korea
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• v.13 no.4
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• pp.548-560
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• 2010

This study aims to estimate the payment of farmland reverse mortgage(FRM) and to explore policy considerations about the restructuring of rural area after the initiation of farmland reverse mortgage. Farmland reverse mortgage provides stable monthly income basement for the welfare of rural elderly by liquidating fixed asset such as farmlands which the elderly in rural area owns. The main results of this study can be summarized as follows. First, FRM model based on Housing Equity Conversion Model, which is suggested by Rodda et al (2003), was built. Then, critical factors like farmland value rising rates and interest rates were elaborated, and affordable and proper monthly payment were estimated. 246,982 won, 419,374 won and 757,379 won is given to the borrower at age 65, 75 and 85 respectively with 100,000,000 won value farmland. Second, policy considerations which are necessary for the successful launch of FRM, and restructuring of rural area after launching FRM were discussed. Three policy considerations were proposed. First is about the integrated asset management system for rural elderly people. Second is about the reasonable settlement of corporate farmers system. And third is about the preparations for rural land use planning.

• Industry Promotion Research
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• v.7 no.4
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• pp.17-23
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• 2022

This study is a study to analyze the effect of corporate working environment on job enthusiasm. Based on the 6th work environment survey conducted between 2020 and 2021 among data from the National Statistical Office, some 440 data were used for analysis. The analysis results are summarized as follows. First, the job satisfaction that the working environment had on job enthusiasm had a statistically significant effect with a β value of .307. Second, it was analyzed that there was a statistically significant difference in job enthusiasm according to general characteristics in employment type and income level. The significance probabilities were .028 and .012, respectively, and there was a significant difference between the groups of temporary workers and daily workers in employment type. was analyzed to exist. Third, there was no significant relationship between gender and work environment satisfaction. However, in Satisfied, 148 men and 181 women, out of a total of 329 respondents, 45% male and 55% female in satisfaction. could know a little more. This study is considered to be necessary to provide opportunities and resources so that members of the organization can demonstrate their abilities by creating a working environment that workers can be satisfied with.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.4
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• pp.1585-1593
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• 2012

Year 2010 was the first year in which the baby boomer generation began to regularly retire by the corporate retirement system. For the following 10 years from then, large scale retirement of the baby boomer generation that used to be the driving force of economic growth in Korean society is expected to cause various social problems such as reduction in labor force and economic loss from transfer to welfare subjects. In relation to reemployment of the baby boomer generation after retirement, this study was attempted first, for analysis on the difference in the course of retirement according to average monthly income and current occupation and second, with an assumption that career self efficacy will influence the course of retirement. Total of 500 surveys for this study were distributed to baby boomer generations through direct visit or mail post in Seoul, Gyeonggi, Gangwon, Chungnam, Gyeongnam, Jeonnam and Jeju for one month during January 17 and February 16, 2012. 443 surveys were returned, among which 400 effective responses were selected as study subjects. As a result, the course of retirement according to average monthly income was verified to be significant for all factors. Significant results were found for the course of retirement according to current occupation in job transfer, complete non-employment and repetitive non-employment. In relation to the effect of career self efficacy on the course of retirement, job movement factor was affected by 21%. This study will be a good guide for the establishment of a social policy and retirement life preparation of the baby boomer generation.

• Korea journal of population studies
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• v.24 no.1
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• pp.149-182
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• 2001

Due to the sustained increase in lifts expectancy, the number and proportion of the aged population has substantially increased, the proportion of the total population aged 65 and over was 7.1% in 2000 and 14.3% in 2022. But All public pension schemes in Korea, including the National Pension scheme, civil servants pension scheme, private school teachers pension scheme and the military pension scheme, are facing valving degree of financial problems at present because of their weak and unstable financial bases. with the result that some of them have recorded deficits for some time and the others are expected to run deficits in the near future. This crisis in financial sustainability in public pension schemes is attributable to the structural weakness of the schemes which can be characterized as high benefits, low contribution. Therefore, this article focuses on alternative of public pension schemes reform in Korea. The results is as follows. First, a basic pension is proposed to be newly established and the earnings related portion of National Pension Scheme will be as national pension. Secondly, the Basic Pension is a universal basic pension covering all nationals over 18 years and older, thereby achieving \"one pension for everybody\" Thirdly, National Pension will be operated as an earnings related pension covering only those participants with assessed income. Fourth1y, the current participants of public occupational pensions will also join the Basic Pension as well as the public occupational pensions whose scope of works will be reduced. And finally, The conversion of Retirement Allocation Scheme into a corporate pension should be left to the discretion of the company concerned.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.135-142
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• 2017

This study employs an analytical mathematical model to estimate the optimal debt ratio of Korean agricultural corporations, more sensitive to the government debt ratio policy compared to other industries, and the estimation of the optimal debt ratio based on objective data. The analytical model utilizes the equation for ROE, with the debt ratio as an independent variable, and related parameters include ROS, TAT, and NFCL. Regarding the NFCL, the optimal debt ratio standard is defined as the debt ratio that maximizes the ROE by analytical procedures such as adding an equation concerning the debt ratio and a linearity relationship to the analytical model, and from these equations, a quadratic equation with the debt ratio as an independent variable describes the ROE. This methodemploys fourteen years of corporate data. Results show that 138% of debt ratio is the optimal debt ratio to increase the ROE of the corporations, which implies that the existing debt ratio of Korean agricultural corporations is higher than optimal. Consequently, it is required for authorities to change future debt ratio policies in view that the purpose of debt ratio management is to maintain safety and increase profitability.Management should emphasize characteristics of the specific industry rather than standardized judgements based on numerical indexes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.157-164
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• 2023

This paper suggests O(n²) polynomial time heuristic algorithm for corporate tax structure optimization problem that has been classified as NP-complete problem. The proposed algorithm constructs tax tree levels that the target holding company is located at root node of Level 1, and the tax code categories(T_e) 1,4,3,2 are located in each level 2,3,4,5 sequentially. To find the maximum tax-relief path from source(S) to target(T), firstly we connect the minimum witholding tax rate _minr_w(u, v) arc of node u point of view for transfer the profit from u to v node. As a result we construct the spanning tree from all of the source nodes to a target node, and find the initial feasible solution. Nextly, we find the alternate path with minimum foreign tax rate _minr_fi(u, v) of v point of view. Finally we choose the minimum tax-relief path from of this two paths. The proposed heuristic algorithm performs better optimal results than linear programming and Tabu search method that is a kind of metaheuristic method.