Financial Risk Assessment in the SiU8 Futures Trading Using Neural Network Based on the SAR-Method

2020 ◽  
pp. 156-162 ◽  
Author(s):  
Nikolay Lomakin
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Financial Risk ◽  
Futures Trading

Financial Risks of the Bank: Assessment and Mechanism of Neutralization

2020 ◽  
Vol 22 (1) ◽  
pp. 6-12
Author(s):  
Nelia Volkova ◽  
◽  
Alina Mukhina ◽  
Keyword(s):  
Risk Assessment ◽  
Financial Stability ◽  
Financial Risk ◽  
Stable Operation ◽  
Financial Risks ◽  
Negative Consequences ◽  
Conceptual Approach ◽  
Relevant Today ◽  
Banking Institution ◽  
The Impact

Abstract. Introduction. The issue of financial risk management of commercial banks is quite relevant today, because the activity of banks is the most risky of all. The presence of risks in banking can lead to unexpected losses, namely the loss of own resources. That’s why for the stable operation of the bank without loss the priority is to assess the financial risks, which is the basis for their further neutralization. Purpose. The purpose of the article is to develop conceptual provisions for assessment financial risks and justifying the need to neutralize them. Results. The article analyzes the impact of risks on the financial stability of a banking institution. The main methods of bank risk assessment are considered. All these include the statistical method, the analytical method, the expert method, the analogue method and the combined method. The necessity of neutralization of financial risks in order to avoid negative consequences is substantiated. Also the methods of bank risks neutralization are considered. It should be noted that these methods of neutralization can not only be used, but also supplement the list with new methods must be done, which in the future will protect the bank from the influence of undesirable factors. A conceptual approach to the assessment and neutralization of financial risks is proposed. This conceptual approach aims to ensure effective assessment of the level of risk with their subsequent neutralization Conclusions. Use of a conceptual approach will allow an effective risk assessment and decision-making to avoid or accept risk. Thanks to using this approach, the banking institution will be able to react swiftly to the presence of financial risks and to prevent the occurrence of negative consequences, which may lead to a violation of the financial stability of the bank.

scholarly journals Deep Feature Learning for Disease Risk Assessment Based on Convolutional Neural Network With Intra-Layer Recurrent Connection by Using Hospital Big Data

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 67927-67939 ◽  
Author(s):  
Mohd Usama ◽  
Belal Ahmad ◽  
Jiafu Wan ◽  
M. Shamim Hossain ◽  
Mohammed F. Alhamid ◽  
...  
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Big Data ◽  
Convolutional Neural Network ◽  
Disease Risk ◽  
Feature Learning ◽  
Recurrent Connection ◽  
Deep Feature ◽  
Deep Feature Learning
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