Optimization Modeling and Techniques for Systemic Risk Assessment and Control in Financial Networks

2018 ◽  
pp. 64-84 ◽  
Author(s):  
John R. Birge ◽  
Aein Khabazian ◽  
Jiming Peng
Keyword(s):  
Risk Assessment ◽  
Systemic Risk ◽  
Financial Networks ◽  
Optimization Modeling ◽  
And Control

A Bayesian Methodology for Systemic Risk Assessment in Financial Networks

2017 ◽  
Vol 63 (12) ◽  
pp. 4428-4446 ◽  
Author(s):  
Axel Gandy ◽  
Luitgard A. M. Veraart
Keyword(s):  
Risk Assessment ◽  
Systemic Risk ◽  
Financial Networks ◽  
Bayesian Methodology

Components of a risk assessment tool for prevention and control of bovine respiratory disease in preweaned dairy calves

2020 ◽  
pp. 1-7
Author(s):  
Sharif S. Aly ◽  
Betsy M. Karle ◽  
Deniece R. Williams ◽  
Gabriele U. Maier ◽  
Sasha Dubrovsky
Keyword(s):  
Risk Factors ◽  
Risk Assessment ◽  
Risk Factor ◽  
Respiratory Disease ◽  
Scoring System ◽  
Prevention And Control ◽  
Assessment Tool ◽  
Bovine Respiratory Disease ◽  
And Control ◽  
Management Changes

Abstract Bovine respiratory disease (BRD) is the leading natural cause of death in US beef and dairy cattle, causing the annual loss of more than 1 million animals and financial losses in excess of $700 million. The multiple etiologies of BRD and its complex web of risk factors necessitate a herd-specific intervention plan for its prevention and control on dairies. Hence, a risk assessment is an important tool that producers and veterinarians can utilize for a comprehensive assessment of the management and host factors that predispose calves to BRD. The current study identifies the steps taken to develop the first BRD risk assessment tool and its components, namely the BRD risk factor questionnaire, the BRD scoring system, and a herd-specific BRD control and prevention plan. The risk factor questionnaire was designed to inquire on aspects of calf-rearing including management practices that affect calf health generally, and BRD specifically. The risk scores associated with each risk factor investigated in the questionnaire were estimated based on data from two observational studies. Producers can also estimate the prevalence of BRD in their calf herds using a smart phone or tablet application that facilitates selection of a true random sample of calves for scoring using the California BRD scoring system. Based on the risk factors identified, producers and herd veterinarians can then decide the management changes needed to mitigate the calf herd's risk for BRD. A follow-up risk assessment after a duration of time sufficient for exposure of a new cohort of calves to the management changes introduced in response to the risk assessment is recommended to monitor the prevalence of BRD.

scholarly journals DebtRank: Too Central to Fail? Financial Networks, the FED and Systemic Risk

2012 ◽  
Vol 2 (1) ◽  
Author(s):  
Stefano Battiston ◽  
Michelangelo Puliga ◽  
Rahul Kaushik ◽  
Paolo Tasca ◽  
Guido Caldarelli
Keyword(s):  
Systemic Risk ◽  
Financial Networks

scholarly journals Risk management and control: Human resources risks in a merged academic institution

2015 ◽  
Vol 4 (2) ◽  
pp. 155-159
Author(s):  
Tebogo Molotsi ◽  
Tankiso Moloi
Keyword(s):  
South Africa ◽  
Risk Assessment ◽  
Distance Education ◽  
Risk Management ◽  
Human Resources ◽  
Corporate Memory ◽  
Engineering And Technology ◽  
Vista University ◽  
Critical Skills ◽  
And Control

This paper measured the mood of College of Science, Engineering and Technology (CSET) academics following the merger between University of South Africa (UNISA), Vista University Distance Education Campus (VUDEC) and Technikon SA (TSA). The formulated statements, potential human resources related risks with association to the statements were articulated. The results obtained from the survey indicated that had the risk assessment been undertaken in CSET, the risk of losing/ retaining critical skills, corporate memory, and the inability to attract these critical skills to CSET could have been higher on the risk dashboard following the post-merger of UNISA, VUDEC and TSA.

scholarly journals Risk Evaluation and Control of Supply Chain Finance

2018 ◽  
Vol 6 (1) ◽  
pp. 21
Author(s):  
Ying Yu Du ◽  
Jun Bin Zhong ◽  
Zi Yue Su ◽  
Xin Peng Yang ◽  
Yi Lan Yao
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Key Factors ◽  
Supply Chain Risk ◽  
Analytic Hierarchy ◽  
Industry Chain ◽  
Supply Chain Finance ◽  
Financial Index ◽  
And Control ◽  
Hierarchy Process

As an effective way of enterprises financing, supply chain finance has attracted much attention in recent years. However, since supply chain finance has some problems like long financing period, numerous stakeholders and complex effects, banks are at a higher risk carrying out this kind of service. The purpose of this paper is to explore the key factors in supply chain finance risk assessment and study the effective mode of risk elevation. Based on the existing literature and research, this paper uses Z-score to standardize the financial index of 344 medium-sized enterprises in automotive industry chain from October, 2016 to October, 2017 and build a model of supply chain risk assessment and control basing on analytic hierarchy process, principal components analysis and logistic regression analysis. Finally, we summarize how each index affects risk assessment and then analyze the reasons.

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