MAKING RISK APPETITE MEASURABLE

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Transcription:

MAKING RISK APPETITE MEASURABLE Roelof Coertze 07824 324100 roelof.coertze@gmail.com Network of Consulting Actuaries 27 July 2017

2 Introduction Please feel free to ask questions as we go along Remember to push *6 to unmute and re-mute yourself

3 Content Starting with the ERM Framework Capital Liquidity Operational risk Other risk appetite statements

4 Starting with the ERM framework People and processes Business Strategy Review Monitor Risk Appetite Manage Risk Strategy Identify Measure Governance and Culture Business Decisions This is an example Enterprise Risk Management (ERM) framework Today s discussion looks at the links between risk appetite, business strategy and risk strategy so as to enable business decisions

5 Risk appetite statements Aviva 2014 Legal & General 2015

6 Risk Universe The diagram below shows a Risk Universe for a life insurer, which covers the known risks Strategy Market Credit Insurance Liquidity Operational Identification Interest rate Default Longevity Customers People Execution Inflation Downgrade Mortality Creditors Conduct External factors Equity Spread Health Collateral calls Processes Currency Reinsurance counterparty Expense Systems Basis Debtors Lapse External events Concentration Basis Outsourcing Concentration

7 Risk Strategy Criteria is used to overlay the business strategy and risk appetite onto the risk universe to give the risk strategy. Strategy Market Credit Insurance Liquidity Operational Identification Interest rate Default Longevity Customers People Execution Inflation Downgrade Mortality Creditors Conduct External factors Equity Spread Health Collateral calls Processes Currency Reinsurance counterparty Expense Systems Avoid Basis Debtors Lapse External events Accept Concentration Basis Outsourcing Pursue Concentration

8 Risk Capacity The diagram on the right shows the different ranges that the current exposure to a risk could lie in There is normally soft and hard limits to the top and bottom of the range we would like to be in Above the hard limit may be extra capacity that we may choose not to use for strategic and regulatory reasons Risk capacity Risk tolerance (hard) Risk trigger (soft) Risk trigger (soft) Risk tolerance (hard) We are beyond our regulatory / legal resources We still have some capacity but do NOT want to use it We are above where we would like to be but still okay Where we like to be We are below where we would like to be but still okay

9 Measuring risk appetite: Capital A simple tool (like Euler) or more complex tool is used to allocate the current risk profile between the risks and diversification. Then we combine it with the Risk Strategy to get the soft and hard limits. Pursue Current profile Accept Diversification Avoid

10 Breaking capital down further What are the underlying assumptions? E.g.: Mix of assets Mix of liabilities Quality of counterparties Hedging strategy Management actions

11 Practical issues In no particular order Non-static risk profile Communication between Line 1 and Line 2 Cultural change Support from senior management Remaining agile Being pragmatic Need to be forward looking

12 Measuring risk appetite: Liquidity Can use a similar process to Capital to cover customers, creditors and collateral calls Useful to be able to use the same stresses but not a requirement, e.g. 1-in-200 event over a 1 year horizon is very extreme for collateral calls Consider/define different types of liquid assets Need to look at legal requirements Fungibility RFFs Group considerations

13 Breaking liquidity down further Legally required types of assets Limits on counterparty exposures Quality of counterparties e.g. reinsurers Changes in hedging strategy Management actions: legal rights vs. reality

14 Measuring risk appetite: Operational risk Traditional Frequency Severity Aggregation Loss distribution Bayesian network Processes Controls Distributions Loss distribution

15 Breaking Op Risk down further Monitoring processes, people, systems Monitoring external events: falls more under emerging risks monitoring Particular issues around outsourcing Bayesian network: can test savings directly from investing more in controls

16 Other risk appetites Profitability / earnings volatility Potentially follow similar process to capital or liquidity Keep levels of triggers and tolerance consistent Conduct risk Key performance indicators, such as Customer complaints Sales figures