scholarly journals Analysis of risk and threats to financial performance of enterprises in agro-industrial complex

2021 ◽  
Vol 273 ◽  
pp. 08058
Author(s):  
Alexey Tabakov ◽  
Irina Fomina
Keyword(s):  
Risk Assessment ◽  
Financial Performance ◽  
Probabilistic Model ◽  
Economic Activity ◽  
Assessment Methods ◽  
Critical Values ◽  
Industrial Complex ◽  
Suggested Approach ◽  
Factors Affecting ◽  
Risk Probability

The article discusses the risk assessment methods of financial performance of an enterprise. The essence of the main risks typical in enterprises of agro-industrial complex is described, sources of risk and factors affecting the financial performance are identified. A logical and probabilistic model of the risk of financial performance of an enterprise is suggested; factors and events that initiate the loss of profit, a decrease in sales revenues and an increase in the costs of enterprises in the agro-industrial complex are revealed. A method for calculating the significant values of risk probability and security areas for the formation of the financial performance of an enterprise is presented. An algorithm for calculating the dependencies was developed and it makes it possible to assess the critical values of indicators of financial and economic activity of an enterprise and the level of risk and threats to financial performance. The expediency of use of the authors’ algorithm in order to optimize the amount and structure of costs and capital. It was stated that the suggested approach allows to monitor continuously the magnitude of risk and threats, to evaluate the effectiveness of measures which reduce the risk of having undesirable financial performance in an enterprise.

scholarly journals Impact of comorbidity assessment methods to predict non-cancer mortality risk in cancer patients: a retrospective observational study using the National Health Insurance Service claims-based data in Korea

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sanghee Lee ◽  
Yoon Jung Chang ◽  
Hyunsoon Cho
Keyword(s):  
Risk Assessment ◽  
Health Insurance ◽  
Cancer Patients ◽  
National Health Insurance ◽  
National Health ◽  
Cancer Mortality ◽  
Prediction Models ◽  
Assessment Methods ◽  
Chronic Obstructive ◽  
Mortality Risks

Abstract Background Cancer patients’ prognoses are complicated by comorbidities. Prognostic prediction models with inappropriate comorbidity adjustments yield biased survival estimates. However, an appropriate claims-based comorbidity risk assessment method remains unclear. This study aimed to compare methods used to capture comorbidities from claims data and predict non-cancer mortality risks among cancer patients. Methods Data were obtained from the National Health Insurance Service-National Sample Cohort database in Korea; 2979 cancer patients diagnosed in 2006 were considered. Claims-based Charlson Comorbidity Index was evaluated according to the various assessment methods: different periods in washout window, lookback, and claim types. The prevalence of comorbidities and associated non-cancer mortality risks were compared. The Cox proportional hazards models considering left-truncation were used to estimate the non-cancer mortality risks. Results The prevalence of peptic ulcer, the most common comorbidity, ranged from 1.5 to 31.0%, and the proportion of patients with ≥1 comorbidity ranged from 4.5 to 58.4%, depending on the assessment methods. Outpatient claims captured 96.9% of patients with chronic obstructive pulmonary disease; however, they captured only 65.2% of patients with myocardial infarction. The different assessment methods affected non-cancer mortality risks; for example, the hazard ratios for patients with moderate comorbidity (CCI 3–4) varied from 1.0 (95% CI: 0.6–1.6) to 5.0 (95% CI: 2.7–9.3). Inpatient claims resulted in relatively higher estimates reflective of disease severity. Conclusions The prevalence of comorbidities and associated non-cancer mortality risks varied considerably by the assessment methods. Researchers should understand the complexity of comorbidity assessments in claims-based risk assessment and select an optimal approach.

Risk assessment of waterborne protozoa: current status and future trends

Parasitology ◽  
1999 ◽  
Vol 117 (7) ◽  
pp. 205-212 ◽  
Author(s):  
C. J. GIBSON ◽  
C. N. HAAS ◽  
J. B. ROSE
Keyword(s):  
Risk Assessment ◽  
Management Practices ◽  
Assessment Methods ◽  
Detection Methods ◽  
Current Status ◽  
Future Research ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Chemical Risk Assessment ◽  
Low Levels

Throughout the past decade much research has been directed towards identifying the occurrence, epidemiology, and risks associated with waterborne protozoa. While outbreaks are continually documented, sporadic cases of disease associated with exposure to low levels of waterborne protozoa are of increasing concern. Current methodologies may not be sensitive enough to define these low levels of disease. However, risk assessment methods may be utilised to address these low level contamination events. The purpose of this article is to provide an introduction to microbial risk assessment for waterborne protozoa. Risk assessment is a useful tool for evaluating relative risks and can be used for development of policies to decrease risks. Numerous studies have been published on risk assessment methods for pathogenic protozoa including Cryptosporidium and Giardia. One common notion prevails: microbial risk assessment presents interesting complications to the traditional chemical risk assessment paradigm. Single microbial exposures (non-threshold) are capable of causing symptomatic illness unlike traditional chemical exposures, which require a threshold to be reached. Due to the lack of efficient recovery and detection methods for protozoa, we may be underestimating the occurrence, concentration and distribution of these pathogenic micro-organisms. To better utilize the tool of microbial risk assessment for risk management practices, future research should focus in the area of exposure assessment.

ASPECTS OF INDUSTRIAL CPS CRITICAL FOR RISK ASSESSMENT METHODS

2021 ◽  
Vol 3 (3) ◽  
pp. 23-29
Author(s):  
Tagir Fabarisov ◽  
Georg Siedel ◽  
Silvia Vock ◽  
Andrey Morozov
Keyword(s):  
Risk Assessment ◽  
Assessment Methods

Analysis of Factors Affecting Financial Performance of BUKU 3 Banks with Growth of Third Party Funds as Moderating Variable

2021 ◽  
Vol 8 (12) ◽  
pp. 686-694
Author(s):  
Rasmi Naibaho ◽  
Azhar Maksum ◽  
Rujiman .
Keyword(s):  
Financial Performance ◽  
Board Of Directors ◽  
Capital Adequacy ◽  
Third Party ◽  
Operating Expense ◽  
Factors Affecting ◽  
Operating Income ◽  
Net Interest Margin ◽  
Capital Adequacy Ratio ◽  
The Relationship

The purpose of this study was to determine and analyze the factors affecting financial performance of BUKU 3 banks with growth of third party funds as moderating variable. This study uses a causality research design. The population in this study is the Banking Service Industry Company which is all Banking Companies listed on the Indonesia Stock Exchange which consists of 46 Banks. The year of observation is 2010-2020. 12 Banking Companies that have met the requirements with 11 years of research in order to obtain 132 observations. In this research, the technical analysis used is panel data regression analysis technique. The results showed that capital adequacy ratio has no effect on financial performance. Operating expense to operating income has a negative effect on financial performance. Net interest margin has a positive effect on financial performance. Non performing loan has no effect on financial performance. Loan to funding ratio has no effect on financial performance. Minimum statutory reserve has no effect on financial performance. Female board of directors has no effect on financial performance. Third party funds cannot moderate the relationship between capital adequacy ratio and financial performance. Third party funds can moderate the relationship between operating expense to operating income on financial performance. Third party funds cannot moderate the relationship between net interest margin and financial performance. Third party funds cannot moderate the relationship between non performing loan and financial performance. Third party funds cannot moderate the relationship between loan to funding ratio and financial performance. Third party funds cannot moderate the relationship between minimum statutory reserve and financial performance. Third party funds can moderate the relationship between female board of directors and financial performance. Keywords: Financial Performance, Growth, Funds.

Development of a probabilistic model for quantitative risk assessment of COVID-19 in Brazil

2021 ◽  
pp. 2150069
Author(s):  
Paulo Gabriel Santos Campos de Siqueira ◽  
Alexandre Calumbi Antunes de Oliveira ◽  
Heitor Oliveira Duarte ◽  
Márcio das Chagas Moura
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Health System ◽  
Probabilistic Model ◽  
Public Health System ◽  
The Other ◽  
Quantitative Risk Assessment ◽  
The Public ◽  
Business As Usual ◽  
Excessive Number

We have developed a probabilistic model to quantify the risks of COVID-19 explosion in Brazil, the epicenter of COVID-19 in Latin America. By explosion, we mean an excessive number of new infections that would overload the public health system. We made predictions from July 12th to Oct 10th, 2020 for various containment strategies, including business as usual, stay at home (SAH) for young and elderly, flight restrictions among regions, gradual resumption of business and the compulsory wearing of masks. They indicate that: if a SAH strategy were sustained, there would be a negligible risk of explosion and the public health system would not be overloaded. For the other containment strategies, the scenario that combines the gradual resumption of business with the mandatory wearing of masks would be the most effective, reducing risk to considerable category. Should this strategy is applied together with the investment in more Intensive Care Unit beds, risk could be reduced to negligible levels. A sensitivity analysis sustained that risks would be negligible if SAH measures were adopted thoroughly.

ANALYTICAL SUPPORT OF THE PROJECT COMPONENT CONTEXT IN THE CONTEXT OF THE INTEGRATED ASSESSMENT OF HUMAN RESOURCES BY TYPES OF ECONOMIC ACTIVITY

2017 ◽  
Author(s):  
Valeriya Yesina ◽  
◽  
Natalya Matvieieva ◽  
Dmitriy Novikov ◽  
◽  
...  
Keyword(s):  
Human Resources ◽  
Human Development ◽  
Economic Activity ◽  
Integrated Assessment ◽  
Professional Training ◽  
System Development ◽  
Research Area ◽  
The State ◽  
Industrial Complex ◽  
Personnel Costs

The article focuses on such a research area as human resources of the state. And their integrated assessment. The results obtained by type of economic activity are quite high, which is fully consistent with the dynamics of actual and future indicators. According to the Strategy of the state personnel policy, their content consists in: defining the tasks of the national personnel management system; development and implementation of a human development monitoring system; increasing labor productivity; calculation of efficiency and return on investment in human development; improving the national system of professional training taking into account the real needs of staff in the field of public administration, social and humanitarian sphere, key sectors of the economy, industry and agro-industrial complex. The procedure for analyzing human resources should begin with the choice of indicators. The final stage of the integrated long-term assessment of human resources is to determine the appropriate integrated indicator as a project component. The trends of each of the selected indicators for the calculation of the integrated indicator of human resources are constructed in the researched. Below are the equations of trends for the indicator "personnel costs of economic entities by type of economic activity", characterize, respectively, industry and construction and are presented in the form of exponential and linear relationships. This choice of trend equations is due to the dynamics of actual indicators.

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