• Title/Summary/Keyword: financial loss

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A Case Study on Owner's Loss Incurred due to the Financial Cost of Public Construction Works in Korea (국내 공공공사에서 발주자 손실의 금융비용 사례연구)

  • Jeong, Min;Lee, Ghang
    • Korean Journal of Construction Engineering and Management
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    • v.9 no.3
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    • pp.136-145
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    • 2008
  • Occasionally an owner of public construction work pays financial costs in addition to progress payments. However, the overall scale of financial costs are not known. This research examines, based on a case study, the financial cost incurred in public construction works and the following issues: the overall scale of financial costs, the impact on financial costs on the owner, and the impact of timing on the overall sum of the financial costs. Annually, more than 2.3 trillion KRW are paid as progress payments for public construction work; yet, there is no research data showing the scale of financial costs thus incurred. The purpose of this research is to illustrate the scale of financial costs incurred due to progress payments for public construction works, and to suggest alternatives that would improve relevant regulations.

Effects of the Perceived Risk on the Consumers′ Purchase Attitudes in the Internet Shopping Malls (인터텟 쇼핑몰에서 소비자의 지각된 위험이 구매 태도에 미치는 영향)

  • 정인근;김윤호
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.184-187
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    • 2001
  • The purpose of this study is to find the perceived risk which influences consumers' purchase attitudes so that consumers' participation in electronic commerce could be enhanced. Consumer behavior involves risk in the sense that any action of a consumer will produce consequences which one cannot anticipate, and some of which are at least likely to be unpleasant. The types of perceived risks are financial risk, performance risk, social risk, psychological risk, time loss, opportunity loss, privacy risk, fashion loss, delivery risk, seller's response risk and seller's fraud risk The findings are as follows: $\circled1$ The financial risk, performance risk, time loss, delivery risk, seller's response risk and seller's fraud risk have negative effects on the consumers' purchase attitudes. $\circled2$ There is no difference in the level of perceived risk according to the demographic factors such as age, education and income level.

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Composition and Policy Direction of Compensation Insurance Against Customer Information Infringements in Financial Transactions (금융거래 고객정보 침해사고 보상보험의 구성 및 정책방향)

  • Kim, Jong Hwan;Lim, Jong In
    • The Journal of Society for e-Business Studies
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    • v.19 no.3
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    • pp.1-21
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    • 2014
  • Personal information is a requisite for financial transactions as well as a core asset of financial companies. However, as a side effect of the information society, personal information infringements have emerged as significant social risks, causing realized loss to individuals and companies. This study analyzes results of financial and emotional loss in terms of consumer loss and also presents usefulness of insurance in order to minimize such actual damages as a means of risk transfer. In addition, this study investigates components and premium calculation principles of compensation insurance against personal information invasion and finally presents policies to activate these insurance product. As a method of risk management, insurance not only is a useful tool to guarantee consumer protection and companies' financial soundness simultaneously but also provides a basis of quantitative measurement of IT risks.

A Study on the Financial Statements Analysis of Ocean-going Shipping Companies (외항화물운송기업의 재무적 특성에 관한 연구 - 대기업군과 중소기업군의 비교를 중심으로 -)

  • OH, Tae-Hyung
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.69
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    • pp.389-406
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    • 2016
  • The Purpose of this study is to analyze the financial statements of ocean-going shipping companies that have experienced financial difficulties since the global financial crisis. Specifically, the study conducts comparing major firm with small and medium-sized firm from fianancial point of view, analyzes the different trends of two groups. As a result, this paper finds the different characteristics between two groups. There were known many financial difficulties in ocean-going shipping companies, but this is not applied to small and medium-sized firm group. Small and medium-sized firm group grew soundly and slowly during research period. But major firm group experienced the deficit and their management condition has deteriorated considerably during that period. To cope with this difficulties, major firm group should take self-effort to improve fianacial structure and establish the risk management system.

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Inspecting Monetary Policy Rules in a Small Open Economy with Financial Frictions

  • Yongseung Jung
    • East Asian Economic Review
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    • v.27 no.2
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    • pp.115-143
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    • 2023
  • In this paper, we address how the monetary authority should react to financial market status and exchange rate movements in a small open economy New Keynesian model with financial frictions due to asymmetric information between savers and borrowers. We show that the small economy with financial frictions is more susceptible to the exogenous shocks under the fixed exchange rate regime than under the flexible exchange regime. The small economy experiences a more prolonged and deeper economic recession under the fixed exchange rate regime than under the flexible exchange rate regime. The monetary policy taking into account external finance premium is better than the interest rate rule without considering the financial market status.

2nd Study : A Financial Model to Select the Size of Theme Park (주제공원의 규모결정을 위한 재무적 손익모형 II -에버랜드, 서울랜드, 드림랜드 비교-)

  • 이양주;유병림
    • Journal of the Korean Institute of Landscape Architecture
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    • v.24 no.3
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    • pp.109-114
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    • 1996
  • Generally, the size of our recreation sites is selected through use demand at the peak day. At same time, scale economic and diseconomic are applied to a recreation site. If you are a rational decision-maker, you would like to select the size of your park at profit-maximization point. This study is the first try for modelling a Gain-Loss by the size options of a theme park. For testing the validity of a financial model to select the size of theme parks. Ever-Land, Seoul-Land, Dream-Land's operating size was analyzed. By the size options, the revenue of each park was compared with cost. The profit-maximization point and break-even point of each park were found. Ever-Land and Dream-Land's size was selected between the profit-maximization point and the break-even point. In contrast with Ever-Land and Dream-Land's, Seoul-Land's was selected upper the break-even point. To increase the utility of this model in selecting the size of a theme park, a decision-maker must keep in mind a few limits of this study. That is, 1) this model can not be applied at public parks. 2) Sometimes the others can be more important than financial revenue and cost. Finally, there is the validity of Gain-Loss Model in estimating only the financial revenues and costs through the size options.

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An Analytic Case Study on the Management of an Upper-level General Hospital(2010-2012)

  • Park, Hyun-Suk;Lee, Jung-Min;Baek, Hong-Suck;Lee, Jun-Ho;Park, Sang-Sub
    • Journal of Korean Clinical Health Science
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    • v.2 no.1
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    • pp.1-16
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    • 2014
  • Purpose. For a more efficient hospital management, this study aims to provide basic data so that the hospital management and staff in charge of hospital administration may systematically classify and collect hospital information, by analyzing the ordinary characters of an upper-level general hospital system and its common-type balance sheet, common-type profit and loss statement and financial ratio. Methods. By using information about an upper-level general hospital in C Province, provided by Alio(www.alio.go.kr), a public organization information provision site, Health Insurance Review & Assessment Service(www.hira.or.kr) and Ministry of Health and Welfare(www.mw.go.kr), this study analyzed 3 year's data from 2010 to 2012 and provided basic data by analyzing the ordinary characters of an upper-level general hospital system, and its common-type balance sheet, common-type profit and loss statement and financial ratio. Results. After analyzing the ordinary characters, common-type balance sheet, common-type proft and loss statement and financial ration of this general hospital, based on the 2010 to 2012 data, this study came to the following conclusions. Firstly, out of all the 1,069 hospital staff, there were 272 doctors working for 24 medical departments, out of whom the majority was 33 physicians. Most of the nurses were third-class ones, and about 2,000 outpatients and 600 inpatients on average were treated per day. Secondly, as a result of analyzing the common-type balance sheet, this study discovered that intangible assets out of fixed assets accounted for 41%, the majority, out of which usable and profitable donation asset buildings were of great importance, and the liquid assets increased more in 2012 than 2011. In the financial structure, the ratio of liquid liabilities was over 50% out of all the liabilities in 2012, and the ratio of purchase payables was high as well. The ratio of fixed liabilities reached up to 40%, out of which the retirement benefit appropriation fund was quite high. The capital was over 80%, but the surplus was in a deficit state. Compared to the capital, the ratio of total liabilities was about 90%, which indicates the financial structure of this general hospital was vulnerable. Thirdly, as a result of analyzing the common-type profit and loss statement, this study found out that the medical profits from inpatients were higher than profits from outpatients. The material cost was related to the medical quality of this general hospital, and it was as high as 30% out of the total costs and was about 45% of the labor cost. This general hospital showed 10% in the ratio of non-medical profits, and it seemed because of government subsidies. The ratios of medical profits and current net income were gradually changing for the better in 2012, compared to 2011. Lastly, as a result of analyzing the financial ratio, it was found that the liquidity ratio kept decreasing, from 110.7% in 2010 and 102.0% in 2011 to 77.2% in 2012. Besides, it was analyzed that the liquidity ratio and the net working capital ratio greatly decreased, while the quick ratio and the liquid ratio kept decreasing. Conclusions. 1. It is necessary to take the risk management into more consideration, and particularly, it is needed to differentiate and manage the levels of risk in detail. 2. By considering the fact that investments into hospital infrastructures were mostly based on liabilities, it is needed to deal with the scale of losses when evaluating risks. 3. By reflecting the character that investments into hospital infrastructures were based on liabilities, it is necessary to consider the ratio of ordinary profits as well as the ratio of operating profits to sales, and it is also important to consider sales productivity factors, such as the sales amount per a sickbed, by comparing them with other hospitals. As for limitations of this study, there may be some problems in terms of data interpretation because of the lack of information about the number of inpatients and the number of outpatients per year, which are needed for the break-even point analysis. Besides, to suggest a direction for the improvement of hospital management through analyses, non-financial factors should be reflected, such as the trend of economy, medical policies, and politic backgrounds. However, this study only focused on the common-type balance sheet, common-type profit and loss statement and financial ratio, so this study is actually limited to generalizing all the factors by analyzing public data only.

Analysis of Typhoon Vulnerability According to Quantitative Loss Data of Typhoon Maemi (태풍 매미의 피해 데이터 기반 국내 태풍 취약성 분석에 관한 연구)

  • Ahn, Sung-Jin;Kim, Tae-Hui;Kim, Ji-Myong
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.05a
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    • pp.125-126
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    • 2019
  • This study aims to recognize damage indicators of typhoon and to develop damage function's indicators, using information derived from the actual loss of typhoon Maemi. As typhoons engender significant financial damage all over the world, governments and insurance companies, local or global, develop hurricane risk assessment models and use it in quantifying, avoiding, mitigating, or transferring the risks. For the reason, it is crucial to understand the importance of the risk assessment model for typhoons, and the importance of reflecting local vulnerabilities for more advanced evaluation. Although much previous research on the economic losses associated with natural disasters has identified the risk indicators that are indispensable, more comprehensive research addressing the relationship between vulnerability and economic loss are still called for. Hence this study utilizes and analyzes the actual loss record of the typhoon Maemi provided by insurance companies to fill such gaps. In this study, natural disaster indicators and basic building information indicators are used in order to generate the vulnerability functions; and the results and indicators suggest a practical approach to create the vulnerability functions for insurance companies and administrative tasks, while reflecting the financial loss and local vulnerability of the actual buildings.

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FAIR-Based BIA for Ransomware Attacks in Financial Industry (금융 산업에서 발생하는 랜섬웨어 공격에 대한 FAIR 기반의 손실 측정 모델 분석)

  • Yoon, Hyun-sik;Song, Kyung-hwan;Lee, Kyung-Ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.27 no.4
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    • pp.873-883
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    • 2017
  • As Ransomware spreads, the target of the attack shifted from a single personal to organizations which lead attackers to be more intelligent and systematic. Thus, Ransomware's threats to domestic infrastructure, including the financial industry, have grown to a level that cannot be ignored. As a measure against these security issues, organizations use ISMS, which is an information protection management system. However, it is difficult for management to make decisions on the loss done by the security issues since amount of the damage done can not be calculated with just ISMS. In this paper, through FAIR-based loss measurement model based on scenario's to identify the extent of damage and calculate the reasonable damages which has been considered to be the problem of the ISMS, we identified losses and risks of Ransomeware on the financial industry and method to reduce the loss by applying the current ISMS and ISO 27001 control items rather than modifying the ISMS.

Research on the Financial Data Fraud Detection of Chinese Listed Enterprises by Integrating Audit Opinions

  • Leiruo Zhou;Yunlong Duan;Wei Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.12
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    • pp.3218-3241
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    • 2023
  • Financial fraud undermines the sustainable development of financial markets. Financial statements can be regarded as the key source of information to obtain the operating conditions of listed companies. Current research focuses more on mining financial digital data instead of looking into text data. However, text data can reveal emotional information, which is an important basis for detecting financial fraud. The audit opinion of the financial statement is especially the fair opinion of a certified public accountant on the quality of enterprise financial reports. Therefore, this research was carried out by using the data features of 4,153 listed companies' financial annual reports and audits of text opinions in the past six years, and the paper puts forward a financial fraud detection model integrating audit opinions. First, the financial data index database and audit opinion text database were built. Second, digitized audit opinions with deep learning Bert model was employed. Finally, both the extracted audit numerical characteristics and the financial numerical indicators were used as the training data of the LightGBM model. What is worth paying attention to is that the imbalanced distribution of sample labels is also one of the focuses of financial fraud research. To solve this problem, data enhancement and Focal Loss feature learning functions were used in data processing and model training respectively. The experimental results show that compared with the conventional financial fraud detection model, the performance of the proposed model is improved greatly, with Area Under the Curve (AUC) and Accuracy reaching 81.42% and 78.15%, respectively.