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Binomial domain and probability interpretation

These original questions test interpretation rather than only numerical substitution.

Keep the selected model explicit

The questions require an interior setup when both terminal states are possible. A model price is conditional on its state support. A separately assumed actual probability does not alter the contract’s supplied payoff amounts.

Explain why a conclusion follows

Check the grown current price against the interval. For expected amounts, name the weighting measure and the date. Do not replace an unresolved input or invalid weight with a convenient zero.

Try the questions

Current 100, factor 1.05 and states 130/110 produce what selected-model status?

  • A.

    Valid because the higher state exceeds the current price

  • B.

    Outside the required interior domain

  • C.

    Valid after clamping the weight to zero

Answer and explanation

Answer: B

Review the record rather than calling a modified endpoint weight its solution.

A

The grown current 105 is still below the lower state 110.

B

105 is not between 110 and 130.

C

Clamping fails to preserve the original underlying price.

A call pays 30/0. Actual higher probability is 70%, while pricing weight is 50%. Which amount is the actual expected expiry payoff?

  • A.

    21

  • B.

    15

  • C.

    14.285714

Answer and explanation

Answer: A

Different weighting measures and dates identify different objects.

A

0.7×30=21 under the actual assumption.

B

This is the pricing-weighted expectation.

C

This is a discounted model value in the supplied 5% example.

A strike-200 call pays zero at both supplied terminal states 130/80. What does zero model value establish?

  • A.

    Every real strike-200 call is worthless

  • B.

    The claim is inactive within this supplied state support

  • C.

    Missing states should be entered as zero

Answer and explanation

Answer: B

The conclusion belongs to the explicit two-state model.

A

A broader state model could allow prices above strike.

B

Both modeled payoffs are known zero.

C

Unknown inputs are not known zero payoffs.

Further references