Quant interview prep guides

Repeated Bets Expected Value Interview Questions

Repeated bets expected value interview prep for summing EV, variance growth, independence, bankroll limits, and ruin risk.

Candidates practicing sequences of positive or negative EV games.

Expected values add

For repeated games, total expected value is the sum of the expected values of each round when payoffs are additive.

Variance also matters

More rounds can make average results more stable, but total variance and drawdown risk can still be important.

Concrete example

If a toy game has expected value 0.20 per play, 100 independent plays have total expected value 20 under the model.

Bankroll constraints

If losses can stop the sequence early, simply multiplying one-round EV may miss ruin risk.

Independence check

Repeated trials are not always independent. If outcomes or probabilities change after each round, update the model.

Common mistakes

Candidates often multiply EV by rounds and ignore whether the player can actually survive the path.

Practice the pattern

Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.