• Title/Summary/Keyword: Financial structure

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Structure Design of Artificial Neural Networks using Genetic Algorithm (유전적 알고리즘을 이용한 인공신경망의 구조 설계)

  • 이재식;차봉근
    • Journal of the Korean Operations Research and Management Science Society
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    • v.24 no.3
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    • pp.49-62
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    • 1999
  • Artificial Neural Networks(ANN) have been successfully applied to various kinds of business and engineering problems, especially those involved in pattern classification. However, because of the lack of design standard or guidelines, the structure of specific ANN depends on the designer's own experiments or choices. In other words, even though we could construct a better ANN, we often steeled down with just a satisfactory ANN. The purpose of this research is to apply the Genetic Algorithm(GA) to design a structure of ANN that yields better performance compared to the existing test results. For a bankruptcy prediction problem. an exiting research using ANN which consists of 22 input processing elements(PEs) for financial ratios and 5 hidden PEs showed 70% hit ratio. In our research, the input financial ratios and the number of hidden PEs are determined by GA. The best ANN, which consists of 8 input PEs and 6 hidden PEs, shows 78.03% hit ratio. In addition, we compare the performance of two types of reproduction schemes, i.e., generational reproduction and steady-state reproduction.

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What lessons can China learn from the Japanese prolonged financial slump?

  • Suzuki, Yasushi;Sohrab Uddin, S.M.
    • Journal of Contemporary Eastern Asia
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    • v.10 no.1
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    • pp.55-71
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    • 2011
  • China has been experiencing high economic growth along with massive change in its industrial structure. How will the industrial structure change affect the Chinese economy? Similar changes were observed by Japan, when the Japanese banking system fell into a structural failure in terms of the inability to respond to the paradigm shift from "catching up" to "frontier economy." This paper is undertaken to highlight the lessons that China can learn from Japan's prolonged financial slump. We point out that big cities in China have already shifted to frontier economy and major provinces are on the same trend. We argue that in spite of economic reform reshaping the Chinese banking system, the financing pattern of state owned commercial banks (SOCB) is not in line with the industrial change. The Chinese banking system should be overhauled or transformed to respond to the increasing uncertainty along with the paradigm shift. Otherwise, China may fall into the same dilemma that Japan had faced in its industrial structure change.

The Effects of Ownership Structure on Capital Structure: Comparison of Listed Large Firms and SMEs in Korea (K-IFRS 도입 전후 기업의 소유구조가 자본구조에 미치는 영향: 상장 대기업과 중소기업의 비교)

  • Mun, Hee-Suk;Kim, Moon-Kyum
    • Korean small business review
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    • v.42 no.3
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    • pp.195-220
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    • 2020
  • In this study, we examined the effects of major shareholder's holdings and foreign shareholder's holdings on capital structure with the samples of listed non-financial firms in KOSPI and KOSDAQ. More specifically, we conduct the data on 7,074 large firms and 2,394 SMEs(Small-Medium Enterprises) before and after the adoption of K-IFRS from 2002 to 2019. The main results can be summarized as follows. The results indicate that the adoption of K-IFRS affects the capital structure of large firms more than SMEs. The major shareholder's holdings and the foreign shareholder's holdings of the large and SMEs listed on the KOSPI and the KOSDAQ market have a significant effect on the leverage ratio. It can be seen that major shareholders of large firms and SMEs reduce the leverage ratio by recognizing the use of debt as financial risk. In addition, it can be seen that regardless of whether or not K-IFRS is adopted, foreign shareholders recognize the use of debt as financial risk and reduce the leverage ratio in order to reduce the investment risk.

The moderating effect of Korean fashion SMEs' company age and size on the relationship between management ownership and company financial growth (패션기업의 경영자 기업지배력이 기업 재무성장성에 미치는 영향 - 한국 중소기업의 규모와 기업업력의 조절효과를 중심으로 -)

  • Yoon, Namhee;Kim, Ji-Yeon
    • The Research Journal of the Costume Culture
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    • v.24 no.2
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    • pp.248-262
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    • 2016
  • Most Korean companies in the fashion industry are SMEs, and the role of the CEO and management ownership is important for enhancing the firm's competence and developing strategies. The study aims to examine the effect of management ownership on company financial growth. In particular, the study focuses on the moderating effect of company age and size on Korean fashion SMEs' financial outcomes. Financial data based on company financial statements from 2012 to 2014 was collected by the Data Analysis, Retrieval and Transfer System of Korea's Financial Supervisory Service. A total of 295 companies' (domestic fashion businesses) data was analyzed by the bootstrap method. The median sales value in the financial year 2014 was 47,492,403,958 KRW, and the company size was divided by it. The companies were in business for an average of 20 years. According to the results, the management ownership had a negative effect on Compound Annual Growth Rate (CAGR) for the three-years, and the relationship between the two variables was moderated by company age. Additionally, the interaction effect of management ownership and company age on 3-CAGR was also moderated by company size. When the companies had spent only a few years in business, a negative effect of management ownership for small firms and a positive effect of management ownership on financial growth for medium firms were found. These results suggest that small companies starting business need to manage their company governance structure to make flexible decisions, and after retaining financial growth, the companies can expand their businesses based on strong ownership.

A Case Study on the Influence Factors of Financial Performance of Korean Automotive Parts Cooperation Companies through Research Hypothesis

  • AN, Ho-Jin;KIM, Wan-Ki
    • The Journal of Asian Finance, Economics and Business
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    • v.6 no.3
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    • pp.327-337
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    • 2019
  • The aim of this research is to contribute to enhancing the competitiveness of automotive parts suppliers while departing from the dependent relationship structure, by developing and interpreting factors that affect sale, which are financial achievements, in a practical way. The research data covered 200 companies from 2013-2017. The study hypothesis was verified by dividing the hypothesis into Model1 with control variables only and Model2 with control variables in independent variables. As a result of hypothesis testing, regarding sales, only capital size showed to have an effect in Model1, while in Model2, asset size, number of employees and joint ventures with foreign companies did but the other remaining factors did not. In particular, the results showed that an increase in financial performance required 'Economies of scale', and that companies that concentrated on a small number of items, diversified products into four or more items, or owned two to four suppliers, reaped positive results in financial performance. Therefore, in addition to the selection and concentration of corporate management for production items and account management, applying strategies, like the inter-company M&A, consortiums and co-branded strategies to achieve 'Economy of scale', would highly enhance the financial performance of automotive parts suppliers.

Investigating the Global Financial Markets from a Social Network Analysis Perspective (소셜네트워크분석 접근법을 활용한 글로벌 금융시장 네트워크 분석)

  • Kim, Dae-Sik;Kwahk, Kee-Young
    • Journal of the Korean Operations Research and Management Science Society
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    • v.38 no.4
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    • pp.11-33
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    • 2013
  • We analyzed the structures and properties of the global financial market networks using social network analysis approach. The Minimum Spanning Tree (MST) lengths and networks of the global financial markets based on the correlation coefficients have been analyzed. Firstly, similar to the previous studies on the global stock indices using MST length, the diversification effects in the global multi-asset portfolio can disappear during the crisis as the correlations among the asset class and within the asset class increase due to the system risks. Second, through the network visualization, we found the clustering of the asset class in the global financial markets network, which confirms the possible diversification effect in the global multi-asset portfolio. Meanwhile, we found the changes in the structure of the network during the crisis. For the last one, in terms of the degree centrality, the stock indices were the most influential to other assets in the global financial markets network, while in terms of the betweenness centrality, Gold, Silver and AUD. In the practical perspective, we propose the methods such as MST length and network visualization to monitor the change of the correlation risk for the risk management of the multi-asset portfolio.

Important Role of Power Exchange in Conducting Futures Market for Stabilizing Electric Power Industry in Transition

  • Yoon, Yong T.
    • KIEE International Transactions on Power Engineering
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    • v.3A no.1
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    • pp.53-60
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    • 2003
  • At present the electric power industry in Korea is going through a major restructuring process. The restructuring is motivated by a desire to reduce electricity supply costs, to attract new in-vestment in modern generation, transmission and distribution facilities, and to stimulate innovation in the wholesale production and the retail supply of electricity. The experience to date shows that restructuring of electric power industry in the US, however, is marred with a number of problematic market performances including unreasonably high prices at wholesale. This paper investigates the important role of Power Exchange for stabilizing electric power industry in transition by offering various financial products. These financial products are used for risk hedging by the market participants. The paper focuses on the risk hedging by an individual supplier and derives an explicit decision rule that incorporates the attitude towards the risks. In addition to providing the financial products for risk hedging by market participants, the Power Exchange plays another very important role of financial safeguard system. Because of its unique characteristics, the Power Exchange is well suited for financial surveillance where it performs the early detection of unsound financial (and to a large extent operational) practices on the part of any system users and protect the system integrity and the market participants from the consequences of a default in the clearing structure.

A Study on Relationship between Outsourcing and Organizational Effectiveness in Hospital (병원의 아웃소싱과 조직유효성의 관계에 관한 연구)

  • Kim, Young-Hoon;Oh, Su-Jin;Kim, Han-Sung;Kim, Key-Hoon;Kim, Hyo-Jeong
    • Korea Journal of Hospital Management
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    • v.18 no.3
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    • pp.83-105
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    • 2013
  • The purpose of this study is to make managerial information regarding outsourcing more concrete by identifying and evaluating how outsourcing as an useful strategic tool for hospitals influences organizational effectiveness. The survey was performed to 311 general hospitals and tertiary hospitals, and 63 questionnaires were recovered and analyzed. As the result of measuring organizational effectiveness after introduction of outsourcing, non-financial performance(3.34) was higher than financial performance(3.25) and satisfaction(3.08). According to the characteristics of organizational structure, financial performance showed statistically significant difference when categorizing the hospitals. It was higher in the general hospitals than in the tertiary hospitals. In addition, the hospitals that outsource the logistic and patient affairs parts have higher financial performances than non-financial ones. Especially, there was statistically significant difference depending on the sub-parts of the logistics, which means the hospitals outsourcing the logistic part have higher financial performance than the hospitals without outsourcing the logistics.

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Financial Structures of Real Estate and the Factors Influencing on It by Subjective Financial Adequacy for Later Years among Middle & Old Aged Households (중.고령자 가계의 주관적 노후대비충분 여부에 따른 부동산 자산구조와 영향요인)

  • Jeong, Woon-Young;Lee, Hee-Sook
    • Journal of the Korean Home Economics Association
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    • v.48 no.4
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    • pp.1-12
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    • 2010
  • The purpose of this study was to find the differences of financial structures of real estate and the factors influencing on it between two groups of subjective financial adequacy and non-adequacy for later years among middle & old aged households. The data were drawn from KREIS(Korean Retirement and Income Study) surveyed by National Pension Research Institute in 2007, and 3,889 couple households with householder's age over 50 were selected. Major findings were as following. First, only 19.3% of households answered that they had enough money for later years. And they had lower real estate-to-total assets ratio (.84) and lower residential house value-to-total assets ratio (.52) than the counter part. Second, for the group who answered that they had enough money for later years, the factors influencing on total real estate were found to be income, debt, and liquid assets.

Cyber risk measurement via loss distribution approach and GARCH model

  • Sanghee Kim;Seongjoo Song
    • Communications for Statistical Applications and Methods
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    • v.30 no.1
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    • pp.75-94
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    • 2023
  • The growing trend of cyber risk has put forward the importance of cyber risk management. Cyber risk is defined as an accidental or intentional risk related to information and technology assets. Although cyber risk is a subset of operational risk, it is reported to be handled differently from operational risk due to its different features of the loss distribution. In this study, we aim to detect the characteristics of cyber loss and find a suitable model by measuring value at risk (VaR). We use the loss distribution approach (LDA) and the time series model to describe cyber losses of financial and non-financial business sectors, provided in SAS® OpRisk Global Data. Peaks over threshold (POT) method is also incorporated to improve the risk measurement. For the financial sector, the LDA and GARCH model with POT perform better than those without POT, respectively. The same result is obtained for the non-financial sector, although the differences are not significant. We also build a two-dimensional model reflecting the dependence structure between financial and non-financial sectors through a bivariate copula and check the model adequacy through VaR.