
Explore the fundamentals of enterprise risk management, meet the instructors, and preview the exam format, curriculum, and key study resources.
Explore the ERM framework and the risk control cycle, highlighting risk awareness, maturity, and culture, while contrasting ERM with traditional risk management and addressing contagion risk.
Examine corporate governance frameworks and the board's oversight of risk. Learn how the risk management function, chief risk officer, and risk reporting align with risk appetite.
Explore how regulators shape enterprise risk management by examining Basel accords and Solvency II, regulatory frameworks, and stakeholder roles, with practical guidance on interaction, compliance, and risk governance.
Identify risks across stakeholders, governance, and external influences to understand risk categories, economic risk and emerging risk. Learn tools, techniques, and risk register to support risk assessment, management, and exams.
Quantify enterprise risks by evaluating frequency, severity, and duration across dimensions, and compare risk measures such as value at risk, tail value at risk, expected shortfall, and probability of ruin.
Explore the structures of risk management, the risk policy document, and the risk control cycle, then evaluate risk responses—from retention to transfer and diversification—against risk appetite and the risk profile.
Analyze insurance risk through actuarial assumptions, pricing models, and compound distributions of frequency and severity to price risk, transfer losses via contracts, and understand pooling effects.
Explore how to analyze market risk through volatility, duration analysis, portfolio theory, and value at risk. Learn Gauck models and implied volatility to forecast and manage risk across portfolios.
Explore how to manage market risk in enterprise risk management without transferring it, covering currency, interest rate, and equity risk, and evaluating derivatives for non-financial and financial contexts.
Apply copulas to model multivariate risk by linking marginal distributions and handling dependencies. Explore Gaussian, Gumbel, Frank, and Clayton copulas, Sklar's theorem, and implications for credit instruments and risk management.
Explore tools and techniques for identifying and managing credit and counterparty risk, from underwriting and due diligence to collateral, credit scoring, and monitoring.
Explore securitization and contract design to reallocate mortgage default risk across senior, junior, and equity tranches; examine clearinghouses, COVID-19 impacts, credit default swaps, and dynamic hedging.
Identify, measure, and manage people-driven operational risk with risk mapping that assesses frequency and severity against appetite. Build leadership, culture, and processes with clear job descriptions, orientation, and retention.
Explore how systems underpin operational risk, with a focus on liquidity risk—measuring, modeling, and managing cash flows using bottom-up and top-down approaches.
Explore how enterprise risk models measure and manage risk, covering model anatomy, discount rates, parameter testing, sensitivity, stress testing, scenario analysis, and stochastic versus deterministic approaches.
Explore models in enterprise risk management within the Aughrim framework, covering model risk, the modelling process, and how models inform strategy and capital decisions.
Develop and compare capital models to optimize risk capital and capital allocation across an organization, including internal versus regulator standards and the ULA's capital allocation method.
Analyze Steinhoff as a case study of governance failures and accounting irregularities, and compare 2016 risk framework with 2019 improvements in risk ownership and due diligence.
Explore enterprise risk management through chapter videos, exam walkthroughs, practical assignments with feedback, and virtual workshops on governance, risk control cycle, and regulatory frameworks.
Explore risk appetite, risk profile, risk limits, and risk capacity with concise definitions and examples, and teach a structured past paper approach for full-mark theory answers.
Outline eight no-cost risk-reduction practices, plus four with indirect costs and four with direct costs, all within the enterprise risk management framework led by a chief risk officer.
Learn how applying an ERM framework to a mature company aligns risk appetite with strategy, reduces operational and liquidity risk, and improves risk reporting, capital allocation, and overall stability.
Explain why Company A should not impose its ERM framework on Company B, a smaller supplier, due to bespoke, proportionate, and industry-specific risk considerations.
Actively manage a multinational conglomerate's risk portfolio within an erm framework to identify emerging risks, shape the risk profile, and balance risk capacity, appetite, and limits across diverse operations.
Explore the ERM framework by comparing a profit-focused objective with operating at the risk limit, evaluating effects on shareholders, stakeholders, and long-term survival under risk-adjusted return.
Explain how governments, the Joint Forum, the Basel Committee, local regulators, and professional bodies carry out supervisory controls, and assess a proposed domestic recapitalization of banks.
Outline Solvency II's risk framework—pillars one to three—and the standard formula risk categories: market, credit, operational, and underwriting. Identify internal and external stakeholders and note KPI versus KRI, with example.
Assess how to strengthen risk culture in a rapidly growing outsourcing-heavy investment bank by examining the risk framework and leadership, and propose steps to align remuneration with risk-adjusted metrics.
Develop and implement a risk map with a risk taxonomy to identify and assess risks by frequency and severity, using color codes and controls, reassessing and illustrating contrasting risk examples.
Assess the bank's risk when underwriting a £40 million student accommodation loan for a Slovenian university, covering credit, interest rate, liquidity, market, operational, exchange rate, political, and demographic risks.
Describe the tools and techniques used to identify risks, including a risk checklist and case studies, such as brainstorming, system analysis, and interviews, with descriptions of their use.
Assess lot lot's investment strategy for its charity objectives using value at risk, tail value at risk, and probability of ruin, citing cash as the safest liability match.
Apply the risk control cycle to a small women-only gym chain, outlining risk awareness, risk identification, risk mapping, and practical controls like hand sanitiser, plus ongoing monitoring and reporting.
Identify and mitigate a broad spectrum of risks for an insurer, including market, credit, liquidity, operational, and regulatory risks from compensation and replacement policies.
Explore how a risk report outlines risk appetite, the identification, assessment, management, and monitoring framework, and how models, dimensions, and governance shape risk response.
Identify four risks that can be modeled quantitatively—interest rate, foreign exchange, credit, and market risk—and four that cannot—legal, political, reputational, and agency risk—from the 2010 specimen paper.
Explain strict stationary and its importance in forecasting time series, and define covariance stationary (weak stationary) with white noise as an example.
Compute the probability that all ten high-yield bonds default in one year using a Google copula with alpha, and discuss correlation and copula choice in modeling related defaults.
Explains four copulas—gumbo, frank, clayton, and generalized clayton—and when to apply them, detailing gumbo's upper tail, clayton's lower tail, and generalized clayton's both tails with collectible cars.
Apply a four-dimensional copula to verify the probability of no loss exceeds 95% and assess whether the reinsurer should hold capital, considering model risk, regulation, and risk measures.
Explore extreme value theory and the generalized extreme value distribution, its location, scale, and shape, and how to fit it to extreme negative hedge fund returns using block minima.
An exam-focused tour of market risk in pension schemes using interest rate and inflation rate swaps, detailing risks and mitigation strategies and alternative approaches.
Explains why the UK airline hedges with New York Mercantile Exchange futures to lock aviation fuel costs amid rising prices, and discusses risks like overpaying, price falls, and competitive dynamics.
Examine market risk in mortgages and securitization, including interest rate, property price, and prepayment risks; assess how an acquisition affects ABC mortgages' profit margin and risk profile.
Describe constructing a hedge using floors on a house price index to cover the equity release guarantee, and discuss weaknesses like longevity, basis, liquidity, and credit risk.
Describe shortcomings of credit-risk assessments based on rating distributions and independence assumptions, then discuss a share-price approach using volatility and Black-Scholes logic, with shares as calls and bonds as puts.
Explore credit risk and default risk in a bank-led fund, detailing key risks to equity investors, including credit, default, interest rate, currency, and market risk, and the bank’s reputation risk.
Define liquidity risk for an insurance company selling immediate annuities funded by corporate bonds and equity release mortgages, assess capital adequacy, and outline cash flow based investigation and mitigation strategies.
Identify and evaluate short-term liquidity options to ease cash pressures, including inventory discounting, supplier credit, overdrafts, asset sales, and short-term debt, weighing their pros and cons.
Assess the implications of internal enterprise wide capital assessment models under regulator minimums, weighing ninety-nine point five percent capital adequacy against potential changes after a bank failure.
Define economic capital and economic value, then analyze economic profit as a KPI for a life insurance company, including its advantages, disadvantages, and risk-category presentation.
Explains why a marine insurer may favor an internal capital model over standard formula, outlines a 12-step development process, and describes how expert judgment refines model design under Solvency II.
Calculate the initial regulatory capital for a new insurer by aggregating underwriting, investment, credit, and operational risks, accounting for market-credit risk correlation, using the 99.5% and 9.5% percentiles and diversification.
The aim of the Enterprise Risk Management (ERM) Specialist Technical subject is to instil in successful candidates the key principles underlying the implementation and application of ERM within an organisation, including governance and process as well as quantitative methods of risk measurement and modelling. The student should gain the ability to apply the knowledge and understanding of ERM practices to any type of organisation.
This subject develops concepts introduced in the earlier actuarial subjects, particularly (Risk Modelling and Survival Analysis) and (Loss Reserving and Financial Engineering). It also develops the risk management techniques introduced in Actuarial Risk Management.
Part 1: Introduction to Enterprise Risk Management
Overview - which is where we currently are
Understanding Risk - where we talk about the various dimensions of risk and explain how it is much more than just volatility.
ERM Framework - here we introduce the Risk Control Cycle which acts as a structure for the rest of the course. We also discuss Risk Awareness
Governance - A lot can be said on this topic so we try to distill the most important parts into governance principles and the various mechanisms that can achieve them.
Regulators and other Stakeholders - Here we introduce regulators and other stakeholders. We will revisit regulation in the later videos on Capital Management. Whereas the ActEd notes try cover all the regulation in one go.
Part 2: The Enterprise Risk Management Framework
Risk Identification - Some sources have Risk Identification as step 1 whereas we see it as step 2 in the ERM Framework. Step 1 is Risk Awareness where one defines Risk Objectives and Risk Appetite. We look at tools and techniques for identifying risks and discuss Risk Categories and the Risk Register.
Risk Assessment - In this chapter we introduce some of the aggregate models that help us measure risks. We speak about the mathematical properties of risk measures and discuss which risk categories can be quantified. The later videos will go into a lot more detail on how to measure each type of risk.
Risk Management - The four main ways we respond to risk are either by using capital as a reserve, transferring it to another party, removing it by ceasing activity or by using various controls to try reduce it by managing it. Again the later videos will go into a lot more detail on how to manage each type of risk.
Risk Monitoring - This is sometimes the forgotten step of Risk Management. Here we talk about what goes into a Risk Report and how its results need to be fed back into the Risk Awareness stage, thus completing and restarting the Risk Control Cycle.
Part 3: Risk Models and Risk Responses
Analysing Insurance Risk - This is a short recap of Actuarial Science. We discuss the fundamental actuarial assumptions and the business case for insurance. We then dive into a bit of the maths behind Pricing Models and talk about fitting distributions, parameter estimation and testing for goodness of fit.
Managing Insurance Risk - Here we talk about sources of Capital and discuss classic risk management techniques like excesses, exclusions, underwriting and claims process. We also look at more advanced techniques like co-insurance, reinsurance and contract design.
Introducing Market Risk - Here we define market risk as the profit or loss caused by the unexpected change in an assets price. We look at the economic factors that drive price changes as well as two different investment philosophies. We also look at how one can model stocks with Stochastic Processes.
Analysing Market Risk - This is quite a mathematical chapter as we look at ways of forecasting volatility. We compare GARCH models to implied volatility.
Extreme Value Theory - EVT can be applied to various types of Risks but we look at it after market risk because for too long market risk has been modelled with the Normal Distribution instead of fat tail distributions that capture extreme values. In this video we look at the tails and try to figure out how one can model extreme events in the absence of sufficient data.
Managing Market Risk - We start this chapter by looking at 20 ways a farmer can manage their market risk without the use of derivatives. We then look at the limitations of derivatives and discuss how to manage currency risks, interest rates and equity risk.
Analysing Credit Risk - We compare counterparty risk to default risk before discussing the main differences between credit and market risk and why we have put credit spreads in this section. We then look at the Merton, KMV and Markov Models and how they can be used to measure credit risk.
Copulas - Copulas can be applied to other risk and are commonly used to aggregate risks but we have included them amongst Credit Risk because they are used in Credit Derivatives. The basic idea with copulas is that we cannot directly added probabilities because then we might get nonsensical probabilities that are greater than one. So the Copula idea is to first transform probabilities from state spaces of 0 to 1 to state spaces of 0 to infinity. In this tranceded state space the probabilities can be added. We then transform the combined probabilities from a state space of 0 to infinity back to a state space of 0 to 1.
Managing Credit Risk - We look at various credit risk management strategies including securitisation. Securitisation is a technique that allows an organisation to transform credit risk into market risk.
More managing strategies for Market & Credit Risk - Exotic instruments blur the line between market and credit risk and so we take a look at instruments like Interest Rate Swaps and Credit Default Swaps.
Operational Risk: People - Organisations need people for innovation and to execute tasks but people can make mistakes or act against an organisation. We look at work culture as well as different techniques on how to manage people and get the most from employees.
Operational Risk: Systems - Systems are the set of procedures that aim to complete a specific function. A vital system is one that manages the cashflow of an organisation. Thus in this chapter we also consider liquidity risk, how to measure it and how to manage it.
Part 4: Models, Capital & Case Studies
Overview of Models - The majority of problems that require actuarial skills involve taking a view on uncertain future events. Models can assist and be part of the solution. In this video we look at the components of a model and the different types.
Models in ERM - Models are used at almost every step of the ERM Framework and so also pose an operational risk to an organisation. Therefore sophisticated models need to be managed carefully and their results need to be balanced with human judgement.
Capital Management - Organisations need to determine the optimal amount of capital to hold. Hold too much and shareholders will experience low returns. Hold too little and the risk of ruin may be too high. We also revisit regulation and see why its important in the financial industry.
Capital Models - In this chapter we discuss how to develop a capital model and how it can be used to allocate capital across a business organisation.
Case Studies - In the final video we look at famous case studies and the risk management lessons that we can learn from them.