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Operational risk

Operational risk is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Operational risk rather than just read about it. In short: 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.

Operational risk — main illustration
Operational risk — illustration

Key takeaways

  • Operational risk belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Operational risk to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Operational risk from memory before moving on to harder problems.

Reference excerpt

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. The definition of operational risk, adopted by the European Solvency II Directive for insurers, is a variation adopted from the Basel II regulations for banks: "The risk of a change in value caused by the fact that actual losses, incurred for inadequate or failed internal processes, people and systems, or from external events (including legal risk), differ from the expected losses". The scope of operational risk is then broad, and can also include other classes of risks, such as fraud, security, privacy protection, legal risks, physical (e.g. infrastructure shutdown) or environmental risks. Operational risks similarly may impact broadly, in that they can affect client satisfaction, reputation and shareholder value, all while increasing business volatility. Previously, in Basel I, operational risk was negatively defined: namely that operational risk are all risks which are not market risk and not credit risk. Some banks have therefore also used the term operational risk synonymously with non-financial risks. In October 2014, the Basel Committee on Banking Supervision proposed a revision to its operational risk capital framework that sets out a new standardized approach to replace the basic indicator approach and the standardized approach for calculating operational risk capital. Contrary to other risks (e.g. credit risk, market risk, insurance risk) operational risks are usually not willingly incurred nor are they revenue driven. Moreover, they are not diversifiable and cannot be laid off. This means that as long as people, systems, and processes remain imperfect, operational risk cannot be fully eliminated. Operational risk is, nonetheless, manageable as to keep losses within some level of risk tolerance (i.e. the amount of risk one is prepared to accept in pursuit of his objectives), determined by balancing the costs of improvement against the expected benefits. Wider trends such as globalization, the expansion of the internet and the rise of social media, as well as the increasing demands for greater corporate accountability worldwide, reinforce the need for proper risk management. Thus operational risk management (ORM) is a specialized discipline within risk management. It constitutes the continuous-process of risk assessment, decision making, and implementation of risk controls, resulting in the acceptance, mitigation, or avoidance of the various operational risks. ORM somewhat overlaps quality management and the internal audit function.

Background Until Basel II reforms to banking supervision, operational risk was a residual category reserved for risks and uncertainties which were difficult to quantify and manage in traditional ways – the "other risks" basket. Such regulations institutionalized operational risk as a category of regulatory and managerial attention and connected operational risk management with good corporate governance. Businesses in general, and other institutions such as the military, have been aware, for many years, of hazards arising from operational factors, internal or external. The primary goal of the military is to fight and win wars in quick and decisive fashion, and with minimal losses. For the military and the businesses of the world alike, operational risk management is an effective process for preserving resources by anticipation. Two decades (from 1980 to the early 2000s) of globalization and deregulation (e.g. Big Bang (financial markets)), combined with the increased sophistication of financial services around the world, introduced additional complexities into the activities of banks, insurers, and firms in general and therefore their risk profiles. Since the mid-1990s, the topics of market risk and credit risk have been the subject of much debate and research, with the result that financial institutions have made significant progress in the identification, measurement, and management of both these forms of risk. The 2008 financial crisis and subprime mortgage crisis exposed significant limitations in existing approaches to measuring market and credit risk. In response, regulators introduced new requirements worldwide, including Basel III for banks and Solvency II for insurers. Events such as the September 11 terrorist attacks, rogue trading losses at Société Générale, Barings, AIB, UBS, and National Australia Bank serve to highlight the fact that the scope of risk management extends beyond merely market and credit risk. These reasons underscore banks' and supervisors' growing focus upon the identification and measurement of operational risk. The list of risks (and, more importantly, the scale of these risks) faced by banks today includes fraud, system failures, terrorism, and employee compensation claims. These types of risk are generally classified under the term 'operational risk'. The identification and measurement of operational risk is a real and live issue for modern-day banks, particularly since the decision by the Basel Committee on Banking Supervision (BCBS) to introduce a capital charge for this risk as part of the new capital adequacy framework (Basel II).

Definition The Basel Committee defines operational risk in Basel II and Basel III as:

The risk of loss resulting from inadequate or failed internal processes, people and systems or from external events. This definition includes legal risk, but excludes strategic and reputational risk. The Basel Committee recognizes that operational risk is a term that has a variety of meanings and therefore, for internal purposes, banks are permitted to adopt their own definitions of operational risk, provided that the minimum elements in the Committee's definition are included.

Scope exclusions The Basel II definition of operational risk excludes, for example, strategic risk – the risk of a loss arising from a poor strategic business decision. Other risk terms are seen as potential consequences of operational risk events. For example, reputational risk (damage to an organization through loss of its reputation or standing) can arise as a consequence (or impact) of operational failures – as well as from other events.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Operational risk

Start with the simplest possible case. Write down what Operational risk claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Operational risk before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Operational risk ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Operational risk

In research
Operational risk appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Operational risk in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Operational risk is common in secondary-school and first-year university syllabi. It links to neighbouring topics Operational risk, so understanding it makes those chapters shorter.
In everyday life
Look for Operational risk outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Operational risk in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Operational risk means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Operational risk out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Operational risk in simple terms?

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.

Why does Operational risk matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Operational risk?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Operational risk.

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