• Title/Summary/Keyword: Financial structure

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The Impact of Governance Structure on the Relationship between Report Types of Weakness in Internal Accounting Control System and Executive Compensation (지배구조가 내부회계관리제도의 취약점 보고 유형과 경영자 보상의 관계에 미치는 영향)

  • Jung, Woo-Sung
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.243-251
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    • 2020
  • The purpose of the study is to explore the relationship between the type of reporting weaknesses in the Internal Accounting Control System and executive compensation, and then analyze whether such relevance varies depending on the characteristics of governance structure. The analysis data used 6,343 KOSPI&KOSDAQ companies excluding the financial industry from 2011 to 2016. As a results of the study, First, executive compensation decreased in companies reporting the weaknesses of CL. Second, this relevance was further strengthened according to the governance structure. This study confirms that information on the operation results of system is an important factor in determining manager compensation. It implies that it is necessary to study reasonable compensation policies and governance structures suitable for companies. If an internal control system that affects executive compensation is added, the basis for stronger support of the research results can be prepared.

The Relationship on Risk Type, Risk Management and Business Performance - Evidence from Korean FDIs in China

  • Yin, Heng-Bin;Kim, Bo-Hyun;Jung, Hong-Joo
    • Journal of Korea Trade
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    • v.23 no.5
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    • pp.45-65
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    • 2019
  • Purpose - As the well-known Structure-Conduct-Performance paradigm implies, risk structure of a corporation may affect its risk management activity and the activity may in turn determine its performance. Depending on its goal, Foreign Direct Investment (FDI) can shape its risk structure, risk management and its performance. Under this assumption, we investigate the relationship between the goals of FDI and risk management for the first time in academics. Design/methodology - This empirical research uses a survey of 279 current Korean enterprises' FDIs in China with the recently developed business risk quadrant model. Companies are classified into either a market- or an efficiency-seeking group, to identify how each group perceives and manages risks, and values the performance of risk management. Also, we apply integrated risk management method that multinational corporations have introduced in China, then verify the mediating effect between risk factors and performance. Findings - Our research shows the FDIs can expose themselves to differing risk structure although risk management activities simply represent the level of empowerment given to local management by headquarter due to limit of sample size despite diversity of risk and risk management tools. To sum, market seekers are found to have more strategic risk (revenue related risk) than efficiency seekers with financial risk (cost related risk). The market seekers can manage their risk by empowering their local organisation while the efficiency does the opposite ways. The risk management appears to be successful in general. Originality/value - Previous studies on small and medium enterprises' FDIs to China have concentrated on the analysis of entry determinants, withdrawal factors and individual risk management. Meanwhile, this research establishes enterprise-wide risk factors faced by the companies that advance into China, according to the method of the classification by ERM and verifies if they could synthetically improve performance through risk corresponding measures.

Bankruptcy Forecasting Model using AdaBoost: A Focus on Construction Companies (적응형 부스팅을 이용한 파산 예측 모형: 건설업을 중심으로)

  • Heo, Junyoung;Yang, Jin Yong
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.35-48
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    • 2014
  • According to the 2013 construction market outlook report, the liquidation of construction companies is expected to continue due to the ongoing residential construction recession. Bankruptcies of construction companies have a greater social impact compared to other industries. However, due to the different nature of the capital structure and debt-to-equity ratio, it is more difficult to forecast construction companies' bankruptcies than that of companies in other industries. The construction industry operates on greater leverage, with high debt-to-equity ratios, and project cash flow focused on the second half. The economic cycle greatly influences construction companies. Therefore, downturns tend to rapidly increase the bankruptcy rates of construction companies. High leverage, coupled with increased bankruptcy rates, could lead to greater burdens on banks providing loans to construction companies. Nevertheless, the bankruptcy prediction model concentrated mainly on financial institutions, with rare construction-specific studies. The bankruptcy prediction model based on corporate finance data has been studied for some time in various ways. However, the model is intended for all companies in general, and it may not be appropriate for forecasting bankruptcies of construction companies, who typically have high liquidity risks. The construction industry is capital-intensive, operates on long timelines with large-scale investment projects, and has comparatively longer payback periods than in other industries. With its unique capital structure, it can be difficult to apply a model used to judge the financial risk of companies in general to those in the construction industry. Diverse studies of bankruptcy forecasting models based on a company's financial statements have been conducted for many years. The subjects of the model, however, were general firms, and the models may not be proper for accurately forecasting companies with disproportionately large liquidity risks, such as construction companies. The construction industry is capital-intensive, requiring significant investments in long-term projects, therefore to realize returns from the investment. The unique capital structure means that the same criteria used for other industries cannot be applied to effectively evaluate financial risk for construction firms. Altman Z-score was first published in 1968, and is commonly used as a bankruptcy forecasting model. It forecasts the likelihood of a company going bankrupt by using a simple formula, classifying the results into three categories, and evaluating the corporate status as dangerous, moderate, or safe. When a company falls into the "dangerous" category, it has a high likelihood of bankruptcy within two years, while those in the "safe" category have a low likelihood of bankruptcy. For companies in the "moderate" category, it is difficult to forecast the risk. Many of the construction firm cases in this study fell in the "moderate" category, which made it difficult to forecast their risk. Along with the development of machine learning using computers, recent studies of corporate bankruptcy forecasting have used this technology. Pattern recognition, a representative application area in machine learning, is applied to forecasting corporate bankruptcy, with patterns analyzed based on a company's financial information, and then judged as to whether the pattern belongs to the bankruptcy risk group or the safe group. The representative machine learning models previously used in bankruptcy forecasting are Artificial Neural Networks, Adaptive Boosting (AdaBoost) and, the Support Vector Machine (SVM). There are also many hybrid studies combining these models. Existing studies using the traditional Z-Score technique or bankruptcy prediction using machine learning focus on companies in non-specific industries. Therefore, the industry-specific characteristics of companies are not considered. In this paper, we confirm that adaptive boosting (AdaBoost) is the most appropriate forecasting model for construction companies by based on company size. We classified construction companies into three groups - large, medium, and small based on the company's capital. We analyzed the predictive ability of AdaBoost for each group of companies. The experimental results showed that AdaBoost has more predictive ability than the other models, especially for the group of large companies with capital of more than 50 billion won.

SOUTH KOREA′S WATER RESOURCES POLICY TOWARD THE 21ST CENTURY: CONFLICTING VIEWS

  • Choi, Yearn-Hong
    • Water Engineering Research
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    • v.2 no.2
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    • pp.103-112
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    • 2001
  • Issues and problems in formulating South Korea's water resources policy are discussed in terms of water quantity and quality. South Korean needs both water conservation and water supply capability for the growing population and economic activities. The government has attempted to build more large-scale dams to store and supply water for residential, farming and industrial uses, but the environmentalists who emphasize conservation and environmental protection oppose the government. The environmentalists are popular among the general public. Water quality has been deteriorating from point- ad non-point sources. urban and farm runoffs are serious pollutants. All want by preserve water quality. There is no dispute on this matter between the government and the environmentalists. Money is hard to come by to preserve water quality. Economic and financial crises and no self-sufficient local governments' revenue structure are pessimistic. Basic survey on water resources, hydrology and hydraulic is badly needed for the future water resources planning.

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An Exploratory Study on Donor Location Strategies in Data Fusion

  • Kim, Jonathan S.;Cho, Sung-Bin
    • Management Science and Financial Engineering
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    • v.14 no.2
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    • pp.1-12
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    • 2008
  • This study explores several donor location strategies and discusses experiment results, which contributes to the saving of time and effort required in designing data fusion processes. In particular, three concepts are introduced. The Mahalanobis distance is applied to locate the nearest neighbors more effectively; which incorporates the covariance structure of attributes. The ideal point helps reduce the dimensionality problem that arises in conjoint-type experiments. The correspondence analysis is used to derive the coordinates from non-metric attributes. The Monte Carlo simulation results show that the proposed donor location strategies provide better fusion performance, compared to the currently-in-use methods.

A SNOWBALL CURRENCY OPTION

  • Shim, Gyoo-Cheol
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.15 no.1
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    • pp.31-41
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    • 2011
  • I introduce a derivative called "Snowball Currency Option" or "USDKRWSnowball Extendible At Expiry KO" which was traded once in the over-the-counter market in Korea. A snowball currency option consists of a series of maturities the payoffs at which are like those of a long position in a put option and two short position in an otherwise identical call. The strike price at each maturity depends on the exchange rate and the previous strike price so that the strike prices are random and path-dependent, which makes it difficult to find a closed form solution of the value of a snowball currency option. I analyze the payoff structure of a snowball currency option and derive an upper and a lower boundaries of the value of it in a simplified model. Furthermore, I derive a pricing formula using integral in the simplified model.

A Study on Evaluating the Competitiveness of Bakery Corporations (베이커리 기업의 경쟁력 평가모델개발)

  • Lee, Jae-Jin
    • Culinary science and hospitality research
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    • v.12 no.1 s.28
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    • pp.203-215
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    • 2006
  • This study tried to develop an estimation model on the competitive power as a method to understand a practical index on the competitive power in order to improve the competitiveness of domestic bakery corporations and look into their internal structure. The results of the practical analysis are summarized below. First, eight critical success factors, which are considered important in competitive power in bakery corporations, were derived from preceding studies and an expert meeting. Second, this study performed a questionnaire with eight derived factors for bakery managers and employees. Seven critical success factors suitable for bakery corporations were chosen through validity and reliability tests. Third, this study performed an AHP(Analytic Hierarchy Process) analysis in order to establish preference according to each factor and weight. The importance of factor concerned with the competitive power of bakery corporations according to the result of weight analysis appeared in order of customer resources, personnel resources, corporate images, material resources and qualities, technical capability, financial factors and pliability(time).

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Development of New Management Prediction Support System based on Non-stochastic Model

  • Kaino, Toshihiro;Hirota, Kaoru;Mitsuta, Akimichi;Miura, Yasuyuki
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.7-10
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    • 2003
  • In the field of financial technology, it is the U.S. initiative, and Japan is obliged to flattery in many respect. Currently Japan is in a too much defenseless situation that the economic structure is based on U.S. theory, In the conventional stochastic theory, it is also face that the prediction sometimes does not hit in the actual problem because it assumes a known probability distribution, none of which illustrates the real situation. A new research and development of management prediction support system is proposed based on fuzzy measures, that deals with the ambiguous, subjective evaluation by the people living in the real world well. Especially, the system will support venture, small and medium companies.

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Development of a Secure Electronic Payment System based on the Analysis of Current Korean Electronic Payment Systems (우리나라 전자지불시스템 현황 분석을 통한 안전한 전자지불시스템의 연구)

  • 송용욱;이재규;황재훈
    • Journal of Information Technology Applications and Management
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    • v.10 no.3
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    • pp.93-108
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    • 2003
  • As Electronic Commerce is popularized, crimes related to Electronic Commerce are also increasing, Electronic shopping malls and payment gateways focus their attention on network security of payment information or the sizes of encryption keys, In real world, however, the payment-related crimes in electronic shopping malls are not based on the security hole of encryption mechanism of the payment systems, but on the customers carelessness or the insecurity of server systems of merchants or financial institutes. So, this research analyzes the structure of current electronic payment systems, investigates the payment-related crimes, addresses the structural problems of the Korean electronic payment systems, and suggests an alternative general architecture for secure payment systems by incorporating the concept of separation of order information and payment information.

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An Implementation Strategy of Intergrated Information Systems Through ERP : A Case of Firm A (ERP를 통한 통합정보시스템의 구현 전략 : A기업의 사례)

  • Oh, Jae-In
    • Korean Management Science Review
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    • v.15 no.2
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    • pp.83-90
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    • 1998
  • Today, ERP becomes very popular as a vehicle of implementing an integrated information system since this package not only facilitates reengineering but also provides the function of generating consolidated financial statements. Yet a successful introduction strategy on the integrated information system needs to be set up because ERP has weaknesses as well as strengths. The strengths include the prompt reaction to environmental changes, the integrated management of information, the adoption of open systems, and the selection of modules according to functionsl However, the weaknesses of ERP include the provision of only basic functions, the development of package on international standard processes, and possible disadvantages to small and medium-sized firms. This paper is to suggest recommendations on the implementation strategy of ERP as an integrated information system. According to the case study with Firm A that has successfully implemented an ERP package, the most significant advantage of adopting ERP was that Firm A was able to implement an integrated information system for only six months. Finally, this research generates suggestions, such as the importance of the project team structure, the sufficient amount of time for education, and the minimization of the package modification.

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