scholarly journals BN Applications in Operational Risk Analysis: Scope, Limitations and Methodological Requirements

10.5772/38858 ◽  
2012 ◽  
Author(s):  
Paolo Trucco ◽  
Maria Chiara
Keyword(s):  
Risk Analysis ◽  
Operational Risk

An operational risk analysis tool to analyze marine transportation in Arctic waters

2018 ◽  
Vol 169 ◽  
pp. 485-502 ◽  
Author(s):  
Bushra Khan ◽  
Faisal Khan ◽  
Brian Veitch ◽  
Ming Yang
Keyword(s):  
Risk Analysis ◽  
Operational Risk ◽  
Analysis Tool ◽  
Marine Transportation

An operational risk analysis of Iran Buyback contract and its policy implication

2017 ◽  
Vol 16 ◽  
pp. 43-53 ◽  
Author(s):  
Chengyuan Li ◽  
Mingjun Jiang ◽  
Haiming Ge ◽  
Zhen Li ◽  
Dongkun Luo
Keyword(s):  
Risk Analysis ◽  
Policy Implication ◽  
Operational Risk ◽  
Buyback Contract

scholarly journals Toward Business Integrity Modeling and Analysis Framework for Risk Measurement and Analysis

2020 ◽  
Vol 10 (9) ◽  
pp. 3145 ◽  
Author(s):  
Victor Chang ◽  
Raul Valverde ◽  
Muthu Ramachandran ◽  
Chung-Sheng Li
Keyword(s):  
Risk Analysis ◽  
Tax Evasion ◽  
Financial Services ◽  
Predictive Analytics ◽  
Operational Risk ◽  
Regulatory Compliance ◽  
Heston Model ◽  
Business Strategies ◽  
Modeling And Analysis ◽  
Risk Research

Financialization has contributed to economic growth but has caused scandals, misselling, rogue trading, tax evasion, and market speculation. To a certain extent, it has also created problems in social and economic instability. It is an important aspect of Enterprise Security, Privacy, and Risk (ESPR), particularly in risk research and analysis. In order to minimize the damaging impacts caused by the lack of regulatory compliance, governance, ethical responsibilities, and trust, we propose a Business Integrity Modeling and Analysis (BIMA) framework to unify business integrity with performance using big data predictive analytics and business intelligence. Comprehensive services include modeling risk and asset prices, and consequently, aligning them with business strategies, making our services, according to market trend analysis, both transparent and fair. The BIMA framework uses Monte Carlo simulation, the Black–Scholes–Merton model, and the Heston model for performing financial, operational, and liquidity risk analysis and present outputs in the form of analytics and visualization. Our results and analysis demonstrate supplier bankruptcy modeling, risk pricing, high-frequency pricing simulations, London Interbank Offered Rate (LIBOR) rate simulation, and speculation detection results to provide a variety of critical risk analysis. Our approaches to tackle problems caused by financial services and the operational risk clearly demonstrate that the BIMA framework, as the outputs of our data analytics research, can effectively combine integrity and risk analysis together with overall business performance and can contribute to operational risk research.

Operational Risk Analysis ToolOPERAtofor Oil and Gas Activities

2011 ◽  
Vol 2011 (1) ◽  
pp. abs259 ◽  
Author(s):  
Randi Kruuse-Meyer ◽  
Anders Bergsli ◽  
Anders Rudberg ◽  
Helene Østbøll
Keyword(s):  
Risk Analysis ◽  
Oil And Gas ◽  
Operational Risk
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