Chapter 14 Quiz: Binary Outcome Trading Strategies
Instructions: Select the best answer for each question. Some questions may have multiple parts. A score of 18/25 (72%) or higher indicates solid understanding of the material.
Question 1
In a binary prediction market, the expected profit from buying a YES contract at price $p$ when you estimate the true probability at $q$ is:
- A) $q \times p - (1 - q) \times (1 - p)$
- B) $q - p$
- C) $p - q$
- D) $q \times (1 - p) + (1 - q) \times p$
Question 2
Which strategy is MOST appropriate when a binary prediction market has 48 hours until expiry, the outcome is almost certain, but the price has not fully converged to 0 or 1?
- A) Momentum trading
- B) Event-driven trading
- C) Closing-the-gap strategy
- D) News and sentiment trading
Question 3
The Kelly Criterion for buying YES on a binary contract at price $p$ with estimated true probability $q$ is:
- A) $f^* = \frac{q - p}{q}$
- B) $f^* = \frac{q - p}{1 - p}$
- C) $f^* = \frac{p - q}{p}$
- D) $f^* = q - p$
Question 4
In a fundamental analysis approach to an election prediction market, which of the following is NOT a typical input?
- A) Weighted polling averages
- B) Economic conditions (GDP, unemployment)
- C) Recent price momentum in the prediction market
- D) Historical base rates for similar candidates
Question 5
A contrarian strategy fires a signal to buy when:
- A) The price has been rising steadily with high volume
- B) The price has dropped sharply, likely beyond what new information warrants
- C) A scheduled catalyst is approaching
- D) The price is converging toward its expiry value
Question 6
When adapting Bollinger Bands for binary prediction markets, why must the band width be adjusted based on the price level?
- A) Binary prices are always more volatile than equity prices
- B) The variance of a binary variable depends on its probability ($p(1-p)$), so prices near 0.50 have higher variance than prices near 0 or 1
- C) Bollinger Bands do not work for binary markets
- D) The sample size changes as the price moves
Question 7
Which pair of strategies has the MOST negative expected correlation?
- A) Fundamental and event-driven
- B) Momentum and contrarian
- C) Closing-the-gap and fundamental
- D) News/sentiment and event-driven
Question 8
A prediction market contract for "Will Team A win the championship?" is trading at 0.85 with 2 days until the final game. Your model estimates the true probability at 0.92. Transaction costs are 2 cents per contract.
What is the net edge per contract?
- A) 0.10
- B) 0.07
- C) 0.05
- D) 0.03
Question 9
In event-driven trading, "buy the rumor, sell the news" in prediction markets means:
- A) Buy contracts based on insider information and sell after the news becomes public
- B) Anticipation of a positive catalyst drives the price up gradually, and the actual event, even if positive, may already be "priced in"
- C) Always sell contracts before any scheduled event
- D) News is unreliable in prediction markets, so you should ignore it
Question 10
A mean-reversion signal fires when a binary contract's Z-score exceeds 2.0 on low volume. Which of the following would make you REJECT the signal?
- A) The price change occurred during off-hours with minimal news
- B) A major, credible news story broke simultaneously with the price move
- C) The contract still has 3 months until expiry
- D) The Z-score is exactly 2.1
Question 11
The closing-the-gap strategy is most effective in markets that exhibit which characteristic?
- A) High volume and many active traders
- B) Low attention, few traders, and infrequent trading (stale markets)
- C) Prices near 0.50 with high uncertainty
- D) Strong momentum trends
Question 12
When combining signals from multiple strategies, what does high conflict between strategy signals indicate?
- A) You should definitely trade because one strategy must be right
- B) You should increase position size because the opportunity is rare
- C) You should reduce position size or avoid trading because uncertainty is high
- D) You should only follow the fundamental strategy
Question 13
A trader uses half-Kelly sizing. If the full Kelly fraction recommends risking 20% of the bankroll, how much should the trader actually risk?
- A) 5%
- B) 10%
- C) 15%
- D) 20%
Question 14
In the context of binary market backtesting, "walk-forward testing" means:
- A) Testing the strategy on the most recent data only
- B) Optimizing parameters on one period, testing on the next, then rolling forward
- C) Walking through each trade manually to verify correctness
- D) Testing the strategy on increasingly longer time periods
Question 15
Which of the following is a form of lookahead bias in binary market backtesting?
- A) Using the contract's resolution outcome to select which trades to make in the backtest
- B) Using historical price data to calculate moving averages
- C) Accounting for transaction costs in the backtest
- D) Using a walk-forward methodology
Question 16
A binary contract is trading at 0.65. You believe the true probability is 0.75. The Kelly fraction for buying YES is:
- A) $\frac{0.75 - 0.65}{1 - 0.65} = 0.286$ (28.6% of bankroll)
- B) $\frac{0.75 - 0.65}{0.75} = 0.133$ (13.3% of bankroll)
- C) $\frac{0.65}{0.75} = 0.867$ (86.7% of bankroll)
- D) $0.75 - 0.65 = 0.10$ (10% of bankroll)
Question 17
In a momentum strategy for binary markets, volume-weighted momentum is preferred over simple price momentum because:
- A) It is always more accurate
- B) It gives more weight to price moves accompanied by high volume, filtering out noise
- C) It is easier to calculate
- D) It eliminates the need for other indicators
Question 18
The primary risk of a closing-the-gap strategy is:
- A) The price may not converge before expiry
- B) Transaction costs may consume the small edge
- C) A "nearly certain" outcome may not occur, causing a large loss relative to the small expected gain
- D) Other traders may front-run your trades
Question 19
When a fundamental model disagrees with a momentum signal, which approach is generally recommended for longer time horizons?
- A) Always trust momentum
- B) Trust the fundamental model
- C) Average the two signals equally
- D) Exit all positions
Question 20
A trader has a portfolio of 20 binary positions, each with an estimated 5% edge. If the positions are perfectly correlated, the portfolio's risk is:
- A) Reduced by diversification to near zero
- B) The same as a single position scaled up 20x
- C) Square root of 20 times a single position's risk
- D) Impossible to calculate without more information
Question 21
In news and sentiment trading, the "speed advantage hierarchy" from most to least valuable is:
- A) First to act, first to interpret, first to know
- B) First to know, first to act, first to interpret
- C) First to know, first to interpret, first to act
- D) First to interpret, first to know, first to act
Question 22
A prediction market drops from 0.58 to 0.40 in 2 hours. The 20-period average is 0.56 with standard deviation 0.04. The Z-score is:
- A) $(0.40 - 0.56) / 0.04 = -4.0$
- B) $(0.56 - 0.40) / 0.04 = 4.0$
- C) $(0.40 - 0.58) / 0.04 = -4.5$
- D) $(0.40 - 0.56) / 0.56 = -0.286$
Question 23
For a binary market backtest to be statistically meaningful, approximately how many trades are needed at a 60% win rate to be 95% confident the edge is real?
- A) 20-30 trades
- B) 50-60 trades
- C) 90-100 trades
- D) 500+ trades
Question 24
Which of the following is the best reason to use fractional Kelly (e.g., half-Kelly) rather than full Kelly?
- A) Full Kelly is mathematically incorrect for binary markets
- B) Full Kelly maximizes expected growth but has high variance; fractional Kelly trades some growth for much lower variance and drawdown risk
- C) Half Kelly always outperforms full Kelly in terms of total return
- D) Fractional Kelly is required by prediction market platforms
Question 25
A trader combines three strategy signals with weights 0.40, 0.35, and 0.25. The signals are +0.70, -0.20, and +0.50 respectively. The weighted combined signal is:
- A) $0.40 \times 0.70 + 0.35 \times (-0.20) + 0.25 \times 0.50 = 0.28 - 0.07 + 0.125 = 0.335$
- B) $(0.70 - 0.20 + 0.50) / 3 = 0.333$
- C) $0.40 + 0.35 + 0.25 = 1.00$
- D) $0.70 \times 0.35 \times 0.50 = 0.1225$
Answer Key
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B - The expected profit is simply $q - p$, derived from $q(1-p) - (1-q)p = q - qp - p + qp = q - p$.
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C - Closing-the-gap is designed exactly for this scenario: near-certain outcome, approaching expiry, price not yet at terminal value.
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B - The Kelly fraction for buying YES is $(q - p)/(1 - p)$, representing the edge divided by the odds.
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C - Recent price momentum is a technical factor, not a fundamental input. Fundamental analysis uses external data like polls, economics, and base rates.
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B - Contrarian strategies buy into sharp drops (or sell into sharp rises) that appear to exceed the informational content of news.
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B - A Bernoulli random variable with parameter $p$ has variance $p(1-p)$, which is maximized at $p=0.50$ and approaches zero near the extremes.
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B - Momentum and contrarian are conceptual opposites: momentum follows the trend while contrarian fades it.
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C - Edge = $0.92 - 0.85 = 0.07$. Net edge = $0.07 - 0.02 = 0.05$.
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B - In prediction markets, gradual price appreciation in anticipation of a positive catalyst means the event itself may produce no further price movement.
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B - A major credible news story provides a fundamental reason for the price move, meaning it is likely information-driven rather than noise.
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B - Stale markets with low attention are most likely to have prices that have not converged to their true values.
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C - High conflict means strategies disagree, indicating uncertainty. The appropriate response is to reduce exposure or avoid trading.
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B - Half Kelly = $0.20 / 2 = 0.10 = 10\%$.
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B - Walk-forward testing involves rolling optimization and out-of-sample testing windows.
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A - Using the resolution outcome to select trades is the classic lookahead bias: using future information in past decisions.
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A - Kelly fraction = $(0.75 - 0.65) / (1 - 0.65) = 0.10 / 0.35 \approx 0.286$.
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B - Volume weighting emphasizes price moves that have market conviction behind them, filtering out low-volume noise.
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C - The asymmetric payoff is the key risk: small expected gains but large potential losses on the rare occasions the "certain" outcome does not materialize.
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B - For longer time horizons, fundamental analysis is generally more reliable than momentum signals.
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B - Perfect correlation means no diversification benefit; the portfolio behaves like a single concentrated position 20 times larger.
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C - First to know > first to interpret > first to act is the speed advantage hierarchy.
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A - Z-score = $(0.40 - 0.56) / 0.04 = -0.16 / 0.04 = -4.0$.
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C - Using the formula $n \geq z^2 p(1-p) / (p-0.5)^2$, we get approximately 92 trades, so roughly 90-100.
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B - Full Kelly has optimal expected logarithmic growth but very high volatility. Fractional Kelly sacrifices some growth for dramatically lower drawdowns and ruin probability.
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A - Weighted sum: $0.40(0.70) + 0.35(-0.20) + 0.25(0.50) = 0.28 - 0.07 + 0.125 = 0.335$.