scholarly journals Study of Re-Operational Risk Factors in Lumbar Herniated Disk Patients Referring to Golestan Hospital, Ahvaz From 2011 to 2015

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Majdedin Moaven ◽  
Reza Bahrami Ilkhechi ◽  
Masoud Zeinali ◽  
Saeed Hesam ◽  
Kazem Jamali
Keyword(s):  
Risk Factors ◽  
Operational Risk ◽  
Herniated Disk

Distribution network operational risk assessment and early warning considering multi-risk factors

2020 ◽  
Vol 14 (16) ◽  
pp. 3139-3149
Author(s):  
Lijuan Chen ◽  
Li Liu ◽  
Yan Peng ◽  
Wenjin Chen ◽  
Hongyang Huang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Early Warning ◽  
Distribution Network ◽  
Operational Risk

scholarly journals A Framework for Analysis and Prediction of Operational Risk Stress

2021 ◽  
Vol 26 (1) ◽  
pp. 19
Author(s):  
Peter Mitic
Keyword(s):  
Risk Factors ◽  
Financial Risk ◽  
Time Window ◽  
Operational Risk ◽  
Specific Reference ◽  
Mild Stress ◽  
Regulatory Capital ◽  
Regulatory Requirements ◽  
Extreme Stress ◽  
Loss Data

A model for financial stress testing and stability analysis is presented. Given operational risk loss data within a time window, short-term projections are made using Loess fits to sequences of lognormal parameters. The projections can be scaled by a sequence of risk factors, derived from economic data in response to international regulatory requirements. Historic and projected loss data are combined using a lengthy nonlinear algorithm to calculate a capital reserve for the upcoming year. The model is embedded in a general framework, in which arrays of risk factors can be swapped in and out to assess their effect on the projected losses. Risk factor scaling is varied to assess the resilience and stability of financial institutions to economic shock. Symbolic analysis of projected losses shows that they are well-conditioned with respect to risk factors. Specific reference is made to the effect of the 2020 COVID-19 pandemic. For a 1-year projection, the framework indicates a requirement for an increase in regulatory capital of approximately 3% for mild stress, 8% for moderate stress, and 32% for extreme stress. The proposed framework is significant because it is the first formal methodology to link financial risk with economic factors in an objective way without recourse to correlations.

scholarly journals TOOLS FOR IMPROVING OPERATIONAL RISK MANAGEMENT IN AGRICULTURE

2019 ◽  
Vol 50 (Special) ◽  
Author(s):  
Rossinskaya & et al.
Keyword(s):  
Risk Factors ◽  
Risk Management ◽  
Agricultural Production ◽  
Agricultural Sector ◽  
Operational Risk ◽  
Industrial Complex ◽  
Operational Risk Management ◽  
Agricultural Enterprises ◽  
Management Algorithm ◽  
Theoretical Foundations

The agricultural sector is most subject to the influence of risk factors. This might be explained by the fact that the efficiency and the output of agricultural production depends not only on invested labor and funds, but also on climatic, weather, environmental conditions, natural disasters. In this regard, the development of theoretical foundations of operational risk management in agriculture is highly relevant. The objective of our study was to develop measures to improve the methods of risk assessment and operational risk management at the level of agricultural enterprises, taking into account the requirements of environmental management and environmental protection. The article discusses the conditions and features of agricultural production at the present stage of economic development, gives a comparative description of various sectors of the economy by the presence of risk factors and proposes methods for operational risk management in the agro-industrial complex. An risk management algorithm for agricultural enterprises has been developed.

scholarly journals SMEs Exports are Influenced by Different Risk Factors: Empirical Study of Emerging Economy

2020 ◽  
Vol 6 (1) ◽  
pp. 201-218
Author(s):  
Safia Nosheen ◽  
Tahseen Mohsan Khan ◽  
Fazal-Ur- Rehman
Keyword(s):  
Risk Factors ◽  
Operational Risk ◽  
Market Risk ◽  
Correction Model ◽  
Vector Error Correction ◽  
Vector Error ◽  
Term Relation ◽  
Medical Instruments ◽  
Indirect Risk

Study intent to identify the direct (indirect) risk factors that can influence the export of medical instruments from SMEs sector of Pakistan by using the time series monthly data sample for a period of fifteen years that is from FY 2003 to FY 2017. Empirically a strong long term relation between the export of medical instruments with operational risk, market risk, export refinance schemes and steel prices are proven by Johansen co-integration. Study also establishes a direct positive relation of operational risk and market risk with the export of medical instruments as a result of Vector Error Correction Model.

scholarly journals Comprehensive identification of operational risk factors based on textual risk disclosures

2018 ◽  
Vol 139 ◽  
pp. 136-143 ◽  
Author(s):  
Yinghui Wang ◽  
Guowen Li ◽  
Jianping Li ◽  
Xiaoqian Zhu
Keyword(s):  
Risk Factors ◽  
Operational Risk ◽  
Risk Disclosures

scholarly journals Exploring and Validating Container Operational Risk Scale in Container Shipping: The Case of Ethiopian Shipping and Logistics Service Enterprise

2021 ◽  
Vol 13 (16) ◽  
pp. 9248
Author(s):  
Efrah Wozir Abdulahi ◽  
Luo Fan
Keyword(s):  
Risk Factors ◽  
Information Flow ◽  
Quantitative Research ◽  
Risk Model ◽  
Pairwise Comparison ◽  
Operational Risk ◽  
Container Shipping ◽  
Quantitative Research Methods ◽  
Two Factors ◽  
Risk Dimensions

The risk associated with container shipping has been a major concern in recent decades. This study presents three major risk frameworks to systematically and inclusively explore and validate container operational risk scales based on risk factors derived from the extant literature. The three risk frameworks identified are risks related to information flow, risks related to physical flow, and risks related to payment flow. Each risk factor is grouped into sub-factors (dimensions), three factors for information flow, two factors for physical flow, and two factors for payment flow. The study uses Ethiopia as a case study and employed both qualitative and quantitative research methods. An interview survey was conducted to explore additional risk factors and validate the identified risk factors in container shipping, and a questionnaire survey was then accompanied to collect the relevant data. A pairwise comparison chart (PCC) was employed to rank the risk dimensions. The results showed that the container operational risk model is satisfactory by employing exploratory and confirmatory factor analysis. Furthermore, the PCC result indicates that risk of loss or damage of goods/assets, payment delay, and decrease in or total loss of payment were ranked first, second, and third, respectively, and consequently the most significant dimensions of the risk factors. This study provides a reliable and valid scale for measuring container operational risk in container shipping companies. It also unlocks future works for using the identified risk factors as guidelines for researchers and experts to design and develop container operational risk dimensions.

scholarly journals A review of operational risk in banks and its role in the financial crisis

2013 ◽  
Vol 16 (4) ◽  
pp. 364-382 ◽  
Author(s):  
Erika De Jongh ◽  
Riaan De Jongh ◽  
Dawie De Jongh ◽  
Gary Van Vuuren
Keyword(s):  
Risk Factors ◽  
Financial Crisis ◽  
Significant Role ◽  
Operational Risk ◽  
Credit Crisis ◽  
2008 Financial Crisis

The role of operational risk in the 2007/2008 financial crisis is explored. The factors that gave rise to the crisis are examined and it is found that although the event is largely regarded as a credit crisis, operational risk factors played a significant role in fuelling its duration and severity. It is concluded that, from an operational risk perspective, 2008 was the worst on record. Considering the extensive role of operational risk in global financial calamities, suggestions are made to improve the management of this risk type. 

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