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Subject 2. Advantages, issues and constraints
Out of three probabilistic approaches, simulations provide the most complete assessments of risk.
- Better input estimation. They are based upon probability distributions for each input, rather than a single expected value or discrete outcomes.
- Output: a distribution for expected value. The output from a simulation takes the form of an expected value across simulations and a distribution for the simulated values.
Some common constraints introduced into simulation:
- Book value constraints. The book value of equity means little by itself. The book values of many firms are significantly different from their market values.
- Regulatory capital restrictions. Banks and insurance companies are required to maintain certain book value related ratios.
- Negative book value for equity. Simulations can be used to assess this probability and protect against it.
- Earnings and cash flow constraints. These constraints can come from internal or external sources. Simulations can be used to assess how likely they are to be violated and the impact.
- Market value constraints. Simulations can be used to model distress and measure indirect bankruptcy costs.
- Garbage in, garbage out. Deep understanding of statistics concepts is also required.
- Real data may not fit distributions.
- Non-stationary distributions: parameters such as mean and variance may change over time.
- Changing correlation across inputs.
Study notes from a previous year's CFA exam:
2. Advantages, issues and constraints