Chapter 3 quiz
Reshaping Statistics
These questions review the examples in the companion slides. Choose an answer, then check the explanation.
Question 1
A later sample contains extreme feature values. Which clipping rule preserves the development boundary?
- Fit cutoffs on all dates
- Fit cutoffs on development dates and apply them unchanged
- Choose cutoffs to maximise held-out IC
- Delete every held-out extreme
Question 2
How should a bootstrap preserve short runs of dependent monthly observations?
- Shuffle every stock-month independently
- Sample contiguous time blocks
- Replace pending returns with zero
- Duplicate the best month
Question 3
You revise a model repeatedly after reading its OOS results. How should that period now be described?
- Untouched confirmation
- Development evidence
- A randomised experiment
- An independent replication
Question 4
What is the sampling unit for the mean of monthly cross-sectional IC?
- Every trade fill
- Every cell in the panel
- One IC per signal date
- Every stock price since listing
Question 5
The historical monthly ES uses two tail months. What is the appropriate interpretation?
- A precise future loss limit
- A sparse-sample tail summary requiring uncertainty and more evidence
- Proof that worse losses cannot happen
- A daily risk measure
Question 6
The feature table has 639 stock-month rows. How many independent experiments does that establish?
- 639
- 71
- The row count alone cannot establish independence
- Nine
Question 7
Must a block-bootstrap interval always be wider than an iid interval?
- Yes, by definition
- Yes, for every trading sample
- No; it depends on the dependence and sample
- No; intervals never depend on dependence
Question 8
Which tested hypotheses belong in a multiple-testing family?
- All candidates in the declared search, including discarded attempts
- Only the final winner
- Only profitable candidates
- Only candidates with p below 0.05
Question 9
Spearman IC requires which inputs?
- Within-date ranks of both the prediction and the target
- A ranked target and an unranked prediction
- A ranked prediction and a future feature
- Only sector labels
Question 10
Which risk statistic changes when return order changes but the set of returns stays fixed?
- Maximum drawdown
- The empirical loss quantile
- The mean loss
- The unordered tail mean