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Operational risk management (ORM) is defined as a continual recurring process that includes risk assessment, risk decision making, and the implementation of risk controls, resulting in the acceptance, mitigation, or avoidance of risk.
Operational risk is the risk of losses caused by flawed or failed processes, policies, systems or events that disrupt business operations. Employee errors, criminal activity such as fraud, and physical events are among the factors that can trigger operational risk. The process to manage operational risk is known as operational risk management.
Operational risk management (ORM) is the oversight of operational risk, including the risk of loss resulting from: inadequate or failed internal processes and systems; human factors; or external events.
Risk management is predicting and managing risks that could hinder the organization from reliably achieving its objectives under uncertainty. Compliance refers to adhering with the mandated boundaries (laws and regulations) and voluntary boundaries (company's policies, procedures, etc.).
The methods (or approaches) increase in sophistication and risk sensitivity with AMA being the most advanced of the three. Under AMA the banks are allowed to develop their own empirical model to quantify required capital for operational risk. Banks can use this approach only subject to approval from their local regulators.
Operational risk (Op risk). In case that Op risk is considered a part of NFR (and not as equivalent), Op risk summarizes e.g. those risks which can be quantified by the use of scenario models. Examples are pandemics, floods and other weather events. Conduct risk means that the behavior of the cooperation's employees leads to losses [3]