This Hudson River Trading statistics question asks candidates to choose between mean and median for trading profit metrics. It is useful for practicing robust metric selection, outlier reasoning, and explaining quantitative trade-offs in a finance-oriented engineering context.
A trading firm observes daily profit values `X_1` through `X_n` and wants a metric for average performance. In an interview, you must choose between mean and median, explain the trade-offs, and discuss how you would validate the choice with simulations or historical data.
### Constraints & Assumptions
- Profit distributions may be heavy-tailed.
- The firm cares about both typical days and total expected profit.
- Only mean and median are allowed for the initial answer.
- You can ask about risk and outliers before choosing.
### Clarifying Questions to Ask
- Is the objective expected profit, robustness, or risk control?
- Are losses and gains symmetric?
- How often do extreme outlier days occur?
- Will the metric drive trading decisions or performance reporting?
- Do we compare strategies with different tail risks?
### What a Strong Answer Covers
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### Follow-up Questions
- When would median be misleading?
- When would mean be too unstable?
- What metric would you prefer if not restricted?
- How would you compare two strategies with equal mean but different tail risk?
Quick Answer: This Hudson River Trading statistics question asks candidates to choose between mean and median for trading profit metrics. It is useful for practicing robust metric selection, outlier reasoning, and explaining quantitative trade-offs in a finance-oriented engineering context.
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A trading firm observes daily profit values X_1 through X_n and wants a metric for average performance. In an interview, you must choose between mean and median, explain the trade-offs, and discuss how you would validate the choice with simulations or historical data.
Constraints & Assumptions
Profit distributions may be heavy-tailed.
The firm cares about both typical days and total expected profit.
Only mean and median are allowed for the initial answer.
You can ask about risk and outliers before choosing.
Clarifying Questions to Ask
Is the objective expected profit, robustness, or risk control?
Are losses and gains symmetric?
How often do extreme outlier days occur?
Will the metric drive trading decisions or performance reporting?
Do we compare strategies with different tail risks?
What a Strong Answer Covers Premium
Follow-up Questions
When would median be misleading?
When would mean be too unstable?
What metric would you prefer if not restricted?
How would you compare two strategies with equal mean but different tail risk?