• Title/Summary/Keyword: Individual Risk Model

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A Study on the Development of Analysis Model for Maritime Security Management (해상보안관리 분석모델 개발에 관한 연구)

  • Jeong, Woo-Lee
    • Journal of Navigation and Port Research
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    • v.36 no.1
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    • pp.9-14
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    • 2012
  • Maritime security incidents by pirates and by terrorists increase, but maritime incidents investigation models are limited to figure out the maritime security incidents. This paper provides the analysis model for maritime security incidents. To develop this analysis model, this categorizes five threat factors, the ship, the cargo type, port system, human factor, information flow system, makes the risk assessment matrix to quantify the risk related to threat factors and classifies four priority categories of risk assessment matrix. Also, this model makes from the frameworks which include a variety of security initiatives implementing in stakeholder levels like international organizations, individual governments, shipping companies, and the ship. Therefore, this paper develops the Analysis for Maritime Security Management model based on various security initiatives responding to the stakeholder levels of maritime security management and top-bottom/bottom-up decision trees, and shows the validity through verifying the real maritime security incident of M/V Petro Ranger.

On the Bayesian Fecision Making Model of 2-Person Coordination Game (2인 조정게임의 베이지안 의사결정모형)

  • 김정훈;정민용
    • Journal of the Korean Operations Research and Management Science Society
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    • v.22 no.3
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    • pp.113-143
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    • 1997
  • Most of the conflict problems between 2 persons can be represented as a bi-matrix game, because player's utilities, in general, are non-zero sum and change according to the progress of game. In the bi-matrix game the equilibrium point set which satisfies the Pareto optimality can be a good bargaining or coordination solution. Under the condition of incomplete information about the risk attitudes of the players, the bargaining or coordination solution depends on additional elements, namely, the players' methods of making inferences when they reach a node in the extensive form of the game that is off the equilibrium path. So the investigation about the players' inference type and its effects on the solution is essential. In addition to that, the effect of an individual's aversion to risk on various solutions in conflict problems, as expressed in his (her) utility function, must be considered. Those kinds of incomplete information make decision maker Bayesian, since it is often impossible to get correct information for building a decision making model. In Baysian point of view, this paper represents an analytic frame for guessing and learning opponent's attitude to risk for getting better reward. As an example for that analytic frame. 2 persons'bi-matrix game is considered. This example explains that a bi-matrix game can be transformed into a kind of matrix game through the players' implicitly cooperative attitude and the need of arbitration.

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Hormone Replacement Therapy and Risk of Breast Cancer in Korean Women: A Quantitative Systematic Review

  • Bae, Jong-Myon;Kim, Eun Hee
    • Journal of Preventive Medicine and Public Health
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    • v.48 no.5
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    • pp.225-230
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    • 2015
  • Objectives: The epidemiological characteristics of breast cancer incidence by age group in Korean women are unique. This systematic review aimed to investigate the association between hormone replacement therapy (HRT) and breast cancer risk in Korean women. Methods: We searched electronic databases such as KoreaMed, KMbase, KISS, and RISS4U as well as PubMed for publications on Korean breast cancer patients. We also conducted manual searching based on references and citations in potential papers. All of the analytically epidemiologic studies that obtained individual data on HRT exposure and breast cancer occurrence in Korean women were selected. We restricted the inclusion of case-control studies to those that included age-matched controls. Estimates of summary odds ratio (SOR) with 95% confidence intervals (CIs) were calculated using random effect models. Results: One cohort and five case-control studies were finally selected. Based on the heterogeneity that existed among the six studies (I-squared=70.2%), a random effect model was applied. The summary effect size of HRT history from the six articles indicated no statistical significance in breast cancer risk (SOR, 0.983; 95% CI, 0.620 to 1.556). Conclusions: These facts support no significant effect of HRT history in the risk of breast cancer in Korean women. It is necessary to conduct a pooled analysis.

Market Risk Premium in Korea: Analysis and Policy Implications (한국의 시장위험 프리미엄: 분석과 시사점)

  • Se-hoon Kwon;Sang-Buhm Hahn
    • Asia-Pacific Journal of Business
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    • v.15 no.2
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    • pp.71-88
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    • 2024
  • Purpose - This study provides an overview of existing research and practices related to market risk premiums(MRP), and empirically estimates the MRP in Korea, particularly using the related option prices. We also seek to improve the current MRP practices and explore alternative solutions. Design/methodology/approach - We present the option price-based MRP estimation method, as proposed by Martin (2017), and implement it within the context of the Korean stock market. We then juxtapose these results with those derived from other methods, and compare the characteristics with those of the United States. Findings - We found that the lower limit of the MRP in the Korean stock market shows a much lower value compared to the US. There seems to be the possibility of a market crash, exchange rate volatility, or a lack of option trading data. We investigated the predictive power of the estimated values and discovered that the weighted average of the results of various methodologies using the Principal Component Analysis (PCA) is superior to the individual method's results. Research implications or Originality - It is required to explore various methods of estimating MRP that are suitable for the Korean stock market. In order to improve the estimation methodology based on option prices, it is necessary to develop the methods using the higher-order(third order or above) moments, or consider additional risk factors such as the possibility of a crash.

2R of Thymidylate Synthase 5'-untranslated Enhanced Region Contributes to Gastric Cancer Risk: a Meta-analysis

  • Yang, Zhen;Liu, Hong-Xiang;Zhang, Xie-Fu
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.5
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    • pp.1923-1927
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    • 2012
  • Background: Studies investigating the association between 2R/3R polymorphisms in the thymidylate synthase 5'-untranslated enhanced region (TYMS 5'-UTR) and gastric cancer risk have generated conflicting results. Thus, a meta-analysis was performed to summarize the data on any association. Methods: Pubmed, Embase, and CNKI databases were searched for all available studies. The strength of association between TYMS 5'-UTR 2R/3R polymorphism and gastric cancer risk was estimated by odds ratios (ORs) with 95% confidence intervals (CIs). Results: Six individual case-control studies with a total of 1, 472 cases and 1, 895 controls were included into this meta-analysis. Analyses of total six relevant studies showed that there was no obvious association between the TYMS 5'-UTR 2R/3R polymorphism and gastric cancer risk. Subgroup analyses based on ethnicity showed 2R of TYMS 5'-UTR 2R/3R contributes to gastric cancer risk in the Asian population ($OR_{Homozygote\;model}$ = 1.71, 95%CI 1.19-2.46, P = 0.004; $OR_{Recessive\;genetic\;model}$ = 1.70, 95%CI 1.18-2.43, P = 0.004). However, the association in Caucasian populations was uncertain due to the limited studies. Conclusions: Our meta-analysis suggests that 2R of TYMS 5'-UTR 2R/3R contributes to gastric cancer risk in the Asian population, while this association in Caucasians populations needs further study.

Development of a Harmonization Standard for Biosafety Risk Assessment of Infectious Disease Laboratories using Management Consulting Methodology (경영컨설팅 방법론을 이용한 감염병 실험실의 생물안전 위해성평가 조화기준 도출)

  • Yu, Minsu
    • Journal of Environmental Health Sciences
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    • v.40 no.3
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    • pp.187-203
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    • 2014
  • Objectives: As the demand to deal with pathogens in domestic research institutions has expanded and biological accidents have increased, the need for systematic biosafety management in infectious disease laboratories has grown. According to international standards, risk assessment (RA) is required for biosafety management. However, RA criteria have not been clearly established in Korea, so to this end I have attempted to determine RA criteria meeting international levels Methods: In order to provide RA criteria for application, I analyzed the RA criteria in use in the U.S., Europe and at international organizations. In order to ensure the public nature of the RA criteria, I constructed the research model through modified management consulting methodology reflecting the model of Radnor and O'Mahoney. Results: According to the results of the study, existing laboratory biosafety regulations were comparable to domestic laboratory safety laws. Existing laboratory biosafety standards that are designed around risk factors were found to be insufficient. An RA case to be carried out in infectious disease laboratories at the National Institute of Health of KCDC was identified. Conclusion: To establish a systematic risk management system meeting international standards, it was necessary first to harmonize the systems of national and international standards. In addition, in order to provide specific biosafety management on-site, I recognized a need for methodology and planning strategies to discover biosafety management so that it can be carried out as required through the RA of individual laboratories.

Financial and Economic Risk Prevention and Countermeasures Based on Big Data and Internet of Things

  • Songyan Liu;Pengfei Liu;Hecheng Wang
    • Journal of Information Processing Systems
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    • v.20 no.3
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    • pp.391-398
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    • 2024
  • Given the further promotion of economic globalization, China's financial market has also expanded. However, at present, this market faces substantial risks. The main financial and economic risks in China are in the areas of policy, credit, exchange rates, accounting, and interest rates. The current status of China's financial market is as follows: insufficient attention from upper management; insufficient innovation in the development of the financial economy; and lack of a sound financial and economic risk protection system. To further understand the current situation of China's financial market, we conducted a questionnaire survey on the financial market and reached the following conclusions. A comprehensive enterprise questionnaire from the government's perspective, the enterprise's perspective and the individual's perspective showed that the following problems exist in the financial and economic risk prevention aspects of big data and Internet of Things in China. The political system at the country's grassroots level is not comprehensive enough. The legal regulatory system is not comprehensive enough, leading to serious incidents of loan fraud. The top management of enterprises does not pay enough attention to financial risk prevention. Therefore, we constructed a financial and economic risk prevention model based on big data and Internet of Things that has effective preventive capabilities for both enterprises and individuals. The concept reflected in the model is to obtain data through Internet of Things, use big data for screening, and then pass these data to the big data analysis system at the grassroots level for analysis. The data initially screened as big data are analyzed in depth, and we obtain the original data that can be used to make decisions. Finally, we put forward the corresponding opinions, and their main contents represent the following points: the key is to build a sound national financial and economic risk prevention and assessment system, the guarantee is to strengthen the supervision of national financial risks, and the purpose is to promote the marketization of financial interest rates.

Research on Fear of Criminal Victim of the Elderly Based on Risk Interpretation Model (위험해석모델에 따른 노인의 범죄피해 두려움에 관한 연구)

  • Shin, So-Young;Kim, Chang-Ho
    • Korean Security Journal
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    • no.45
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    • pp.221-242
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    • 2015
  • Verification for the causality of factors affecting fear of criminal victim which has a bad influence on the senior's quality of life and directions to prevent the crimes against the elderly have been suggested. This study proves the applicability for fear of crime to old people especially based on risk interpretation model consisting of perceived risk of crime, behavioral response and fear of crime. Analysis results are as follows. First, disorder factors as social characteristics showed statistically significant influences on perceived risk of crime, behavioral response and fear of crime. Second, direct experienced crime victimization only affected perceived risk of crime while indirect experienced crime victimization had an effect on perceived risk of crime and fear of crime as well. Third, perceived risk of crime influenced fear of crime. Fourth, perceived risk of crime was concerned with fear of crime. Fifth, behavioral response was affiliated with fear of crime. These results reveal that risk interpretation model can be applied to senior's fear of crime. Moreover, disorder factor as social characteristic and experienced crime victimization as individual characteristic help the elderly perceive the risk of crime, bring behavioral response. Consequently, they play a role of factors affecting fear of crime. It is emphasized that support policy is required for the elderly who had experienced crime and stabilization of community environment if necessary to improve the quality of life.

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Sensitivity Analysis of Drought Impact Factors Using a Structural Equation Model and Bayesian Networks (구조방정식모형과 베이지안 네트워크를 활용한 가뭄 영향인자의 민감도 분석)

  • Kim, Ji Eun;Kim, Minji;Yoo, Jiyoung;Jung, Sungwon;Kim, Tae-Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.42 no.1
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    • pp.11-21
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    • 2022
  • Drought occurs extensively over a long period and causes great socio-economic damage. Since drought risk consists of social, environmental, physical, and economic factors along with meteorological and hydrological factors, it is important to quantitatively identify their impacts on drought risk. This study investigated the relationship among drought hazard, vulnerability, response capacity, and risk in Chungcheongbuk-do using a structural equation model and evaluated their impacts on drought risk using Bayesian networks. We also performed sensitivity analysis to investigate how the factors change drought risk. Overall results showed that Chungju-si had the highest risk of drought. The risk was calculated as the largest even when the hazard and response capacity were changed. However, when the vulnerability was changed, Eumseong-gun had the greatest risk. The sensitivity analysis showed that Jeungpyeong-gun had the highest sensitivity, and Jecheon-si, Eumseong-gun, and Okcheon-gun had highest individual sensitivities with hazard, vulnerability, and response capacity, respectively. This study concluded that it is possible to identify impact factors on drought risk using regional characteristics, and to prepare appropriate drought countermeasures considering regional drought risk.

The Effect Analysis of COVID-19 vaccination on social distancing (코로나19 백신접종이 사회적 거리두기 효과에 미치는 영향분석)

  • Moon, Su Chan
    • Journal of the Korea Convergence Society
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    • v.13 no.2
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    • pp.67-75
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    • 2022
  • The purpose of this study is to present an appropriate management plan as a supplement to the scientific evidence of the currently operated distancing system for preventing COVID-19. The currently being used mathematical models are expressed as simultaneous ordinary differential equations, there is a problem in that it is difficult to use them for the management of entry and exit of small business owners. In order to supplement this point, in this paper, a method for quantitatively expressing the risk of infection by people who gather is presented in consideration of the allowable risk given to the gathering space, the basic infection reproduction index, and the risk reduction rate due to vaccination. A simple quantitative model was developed that manages the probability of infection in a probabilistic level according to a set of visitors by considering both the degree of infection risk according to the vaccination status (non-vaccinated, primary inoculation, and complete vaccination) and the epidemic status of the virus. In a given example using the model, the risk was reduced to 55% when 20% of non-vaccinated people were converted to full vaccination. It was suggested that management in terms of quarantine can obtain a greater effect than medical treatment. Based on this, a generalized model that can be applied to various situations in consideration of the type of vaccination and the degree of occurrence of confirmed cases was also presented. This model can be used to manage the total risk of people gathered at a certain space in a real time, by calculating individual risk according to the type of vaccine, the degree of inoculation, and the lapse of time after inoculation.