FRM Part II · FRM Exam Part II · Advances in Artificial Intelligence: Implications for Capital Markets Activities
A supervisor assesses how widespread AI adoption could change the transmission of a shock. Which of the following conclusions is most consistent with the view that AI can increase systemic vulnerability even while improving average efficiency?
The best conclusion is that faster, automated decision-making can speed up shock propagation and limit human intervention, even if average performance improves. Efficiency in normal conditions does not guarantee resilience in stress, so tail and systemic risks can rise despite better average outcomes.
- AFaster, more automated decisions can compress reaction times, so shocks may propagate more quickly and with less opportunity for human intervention, even if normal-time performance improvesCorrect
- BBecause AI improves average forecasting accuracy, tail risks are necessarily lower
- CBecause AI models are opaque, they cannot be correlated across firms
- DBecause AI reduces costs, concentration risk must fall
Explanation
Efficiency gains in normal times do not imply robustness in stress; speed, opacity and common models can amplify tail events. The other options draw unsupported conclusions: better average accuracy does not eliminate tail risk, opacity does not prevent correlation, and cost reduction does not reduce concentration.
Did you get it right without looking?
One question tells you little. A timed set on Advances in Artificial Intelligence: Implications for Capital Markets Activities shows your real accuracy, how long you take and where you lose marks.
More Advances in Artificial Intelligence: Implications for Capital Markets Activities questions
- Several large trading firms deploy AI-driven strategies trained on similar historical data and optimizing similar objectives. During a sudde…
- A quant tests a classifier that flags manipulative trading. In a test set of 1,000 orders, 50 are truly manipulative. The model flags 40 ord…
- Several large banks adopt similar AI tools from the same third-party provider for market surveillance and risk monitoring. From a financial …
- A broker-dealer deploys a generative AI tool that drafts client investment recommendations. The compliance head wants a governance control t…
- Which data quality concern is most specific to using alternative data, such as scraped web or social media content, in AI-driven investment …
- A risk team splits 10 years of monthly data randomly into training (70%) and test (30%) sets to evaluate a machine learning model forecastin…