Explain the limits used to control market risk, among them stop-loss limits, scenario limits, position limits, and risk budgeting
The idea
Risk budgeting sets a total amount of risk, measured by VaR, tracking error or another metric, and allocates it among desks, asset classes or managers, ideally where expected return per unit of risk is highest. Position limits cap the size of individual exposures, such as a maximum amount in one issuer, sector or country; they control concentration but ignore correlations. Scenario limits cap the loss permitted under a specified stress. Stop-loss limits force a position to be cut once losses reach a threshold; they limit damage but can crystallise losses at the worst moment and may encourage traders to take on more risk to recover. The trap is expecting any single constraint to cover every risk.
In the app: 2 practice questions on this outcome, a narrated walkthrough with diagrams, spaced review that brings it back before you forget it.
Take the free diagnostic →More in Measuring and Managing Market Risk
- Explain how value at risk (VaR) is applied to gauge the risk of a portfolio
- Contrast three ways to estimate VaR: Monte Carlo simulation, historical simulation, and the parametric (variance–covariance) method
- Estimate VaR by Monte Carlo simulation, by historical simulation, and by the parametric method, and explain what each result means
- Set out the strengths and weaknesses of VaR
- Set out the ways VaR has been extended
- Explain sensitivity and scenario risk measures and weigh them against VaR
- Show how exposure measures for equities, fixed income, and options can help gauge and control market risk and volatility risk
- Set out how sensitivity and scenario risk measures are applied
- Set out the strengths and weaknesses of sensitivity and scenario risk measures
- Explain how risk measures can guide decisions on allocating capital
- Set out the risk measures relied on by insurers, pension funds, asset managers, and banks