Scenario Analysis in Risk Management
Scenario analysis is the third pillar of the framework suggested by the Bank of International Settlements in their Basel norms. In the previous articles, we have already studied a collection of internal and external loss data as well as the self-assessment of risks. However, it is important to note that the loss data collection framework has certain shortcomings. Firstly, it does not take into account losses that are beyond the mentioned time period.
For instance, companies generally maintain loss data for three years. However, if a loss is likely to happen once in ten years, that risk is completely missed out on the loss data framework.
Secondly, loss data only considers losses that have actually materialized.
Scenario analysis, on the other hand, takes into account losses that may not have occurred till now but which have the potential to occur in the future. This is the main benefit of scenario analysis. They help the company identify emerging risks that are not The methodology used for scenario analysis is much more comprehensive.
The internal position of the company is studied in addition to the vulnerabilities posed by the external situation. In this article, we will have a closer look at how scenario analysis works as well as what the shortcomings of this scenario analysis are.
Approaches to Scenario Analysis
There are three approaches that are commonly used by organizations to generate scenarios required for scenario analysis. They have been mentioned below:
- Structured Workshops: Scenario analysis is a tool that is used to identify and mitigate risks that do not exist until now. Since there are no past records of the risks, only experts can help in identifying these risks. This is the reason why scenario analysis is mostly performed with the help of a group of experts.
Many companies conduct structured workshops where they invite many experts in various fields related to their operations.
The company also creates structured questionnaires which are aimed at exploring the possible risks that a company faces.
The objective of this workshop is to stimulate a dialogue between the various experts who express their opinion about various subjects and in the process discover new possible risks and scenarios.
- Surveys: Many companies may not have the time or the budget to host a conference. In such cases, they provide structured questionnaires separately to the experts.
The objective is the same i.e. to elicit an expert response. However, here the experts give their individual opinion since they are not able to interact with the other experts as they would have done in a structured workshop.
- Interviews: Lastly, many organizations prefer to have interviews with experts.
The characteristics of these interviews are the fact that they are unstructured. This means that there is no structured manner in which the discussion is being driven. Instead, the organization may decide to interview the experts one-on-one or they may have a group discussion with some experts while having an individual conversation with some others.
The end result of each of these exercises is that the company needs to have a new list of risks that have been identified in the process. The real challenge is the next step wherein these risks have to be converted into numbers. Various statistical techniques are used to do so. For instance, expert opinion is collected about the possible frequency of these losses along with the possible impact. These numbers are then blended in with the empirical distributions and used to generate more detailed data.
Limitations of Scenario Analysis
Although scenario analysis is an excellent tool to identify and mitigate operational risk, it is still based exclusively on the opinion of the experts. If a different set of experts was used to perform the same scenario analysis, the outcome would be significantly different. The effectiveness of the process is completely dependent upon the human beings performing it.
This is the reason why all the cognitive biases play a part in the scenario analysis. For instance, there have been studies which show that if the same experts were presented information in a different order, their opinions were different! The familiarity of the experts with certain types of risks also plays an important part. Experts tend to focus more on risks that they know about and ignore the risks that are new to them.
Also, many times experts have a predefined opinion to which they are anchored to. Instead of having an open mind about the new data, they often use the new data points to support their old positions. Many times experts might disagree with one another. However, they will still not voice their disagreement because it would mean confronting others and some people may not want to do that.
The bottom line is that scenario analysis is a very important tool used in the advanced measurement approach suggested by the Bank of International Settlements. Despite its shortcomings, it is the only method that can be reliably used to manage the unknown risks in any organization's operations.
|❮❮ Previous||Next ❯❯|
Authorship/Referencing - About the Author(s)
The article is Written By Prachi Juneja and Reviewed By Management Study Guide Content Team. MSG Content Team comprises experienced Faculty Member, Professionals and Subject Matter Experts. We are a ISO 2001:2015 Certified Education Provider. To Know more, click on About Us. The use of this material is free for learning and education purpose. Please reference authorship of content used, including link(s) to ManagementStudyGuide.com and the content page url.
- Risk Management - Introduction
- Benefits of Risk Management
- Principles of Risk Management
- Risk Management Process
- Risk Identification and Assessment
- Aspects of Risk Management
- Steps in Risk Management Process
- Approaches to Risk Management
- Risk Management Policy
- Commonly Used Measures of Risk
- Risk Management Plan
- Evaluation of Risk Management Plan
- Risk Treatment
- Role of HRD in Risk Management
- Enterprise Risk Management
- Implementing ERM
- Risk Management and Stock Market
- Outsourcing Risk Management Program
- Risk Management as a Profession
- Anticipating and Mitigating Organizational Risks in the Digital Age
- Challenges Facing the Australian Economy
- The Economic Costs of MeToo
- Automated Claims Processing
- Challenges in Global Insurance And International Claims
- Conflicts of Interest in the Insurance Business
- The Cost Structure in the Insurance Industry
- How Drones Will Impact the Insurance Industry?
- How Is Health Insurance Funded?
- How Self Driving Cars Impact Insurance?
- How Stock Market Volatility Affects Insurance Companies?
- Insurance Agents vs. Insurance Brokers
- The ABCs of Insurance Fraud in India
- Technological Advances in the Insurance Industry
- The Basics of Unemployment Insurance
- The Pros and Cons of Unemployment Assistance and Why it Matters in the Present Times
- The Role of Insurance In #MeToo Movement
- Why the Flood Insurance Market should be Privatized?
- Basics of Pet Insurance
- Cannabis Insurance
- Challenges Facing Cryptocurrency Insurance
- Evolution of Insurance Regulation
- Food Delivery Apps and Insurance
- How Does Captive Insurance Work?
- On-Demand Insurance
- Reinsurance vs. Double Insurance
- Solvency Regulations in the Insurance Industry
- Terrorism and Insurance
- The Basics of Microinsurance
- The Basics of Reinsurance
- Types of Captive Insurance Companies
- What is P2P Insurance?
- How Risks Affect Companies Providing Financial Services
- Risk Management Information System
- Disadvantages of Risk Management Information Systems
- The Known-Unknown Classification of Risk
- Operational Risk: Definition and Drivers
- How Regulations Have Affected Operational Risk?
- Identification of Operational Risks
- How to Identify Operational Risks
- Using Internal Loss Data to Mitigate Operational Risks
- External Loss Data in Operational Risk Management
- Risk Control Self Assessment (RCSA)
- Scenario Analysis in Risk Management
- Key Risk Indicators
- Basel Approaches in Operational Risk Management
- The Basel Risk Categories
- Cause Categories in Operational Risk Management
- Loss Distribution Approach
- The COSO Framework for Internal Control
- Mistakes to be Avoided While Building a Risk Management System
- Credit Rating Terminology
- Types of Exposures to Determine Credit Limit
- Types of Credit Events
- Active Credit Portfolio Risk Management
- Metrics to Measure Credit Risk
- Credit Derivatives: An Introduction
- Credit Linked Note
- How do Credit Default Swaps Work?
- Why are Credit Default Swaps Dangerous?
- Total Returns Swap
- What are Collateralized Debt Obligations and How do they Work?
- Collateralized Debt Obligations: Advantages and Disadvantages
- Mark To Market Accounting
- What are Recovery Rates? - Different Types of Recovery Rates
- Netting, Close Out, and Acceleration
- Expected Default Frequency (EDF)
- Expected Default Frequency: Advantages and Disadvantages
- Altmans Z Score Model
- Unexpected Loss and Economic Capital Buffer
- Stress Testing in Credit Risk Management
- Provisioning in Credit Risk Management
- How Corporate Governance Impacts Credit Risk
- Exit Strategies In Credit Risk Management
- What is Market Risk? - How its Measured and Sources of Market Risk
- Why is Market Risk Management Important?
- Introduction to Value At Risk (VaR)
- The Three Types of Value at Risk (VaR)
- Marginal, Incremental and Component Value at Risk (VAR)
- How Value at Risk (VaR) is Implemented?
- Backtesting Value at Risk (VaR)
- Advantages of Using Value at Risk (VaR) Model
- Disadvantages of Using the Value at Risk (VaR) Model
- How Margins Are Calculated Using Value at Risk (VaR)
- Market Risk Limits
- Tail Risk
- The Upside of Market Volatility
- Relationship between Volatility and Risk
- Importance of Data Quality in Risk Management
- Impact of Using Poor Quality Data and Metrics to Measure Data Quality
- Enterprise Risk Management (ERM) vs Traditional Risk Management
- Benefits of Enterprise Risk Management
- Corporate Risk Governance
- International Risk Governance Committee (IRGC) Framework
- Failure of Market Risk Management
- Mistakes to Avoid in Risk Management