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Stochastic dominance and utility

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  1. Idea: Rank without a utility

    Stochastic dominance compares whole distributions and ranks them for a whole family of utilities at once.

    • First order: everyone who prefers more agrees
    • Second order: every risk-averse holder agrees
    • Both fail: the ranking depends on the utility
  2. Formula: First-order dominance

    At every threshold, X is no more likely than Y to end at or below it.

  3. Example: Desks with the same payoffs

    pays , , with chances , , ; with , , . Does dominate? Gap in means?

    1. Cumulative at and : has , ; has ,
    2. sits below everywhere, so dominates
    3. Area between curves:
  4. Common mistake: Dominance is not winning every time

    Reading as "X beats Y in every scenario". The definition looks only at the distributions.

    Instead On one coin pays or and pays or : wins on heads, yet dominates.

  5. Idea: A higher mean proves nothing

    pays for sure; pays or with equal chances, mean .

    • The curves cross, so neither dominates
    • With you choose
    • With you choose : beats
  6. Formula: Second-order dominance

    If X never has a larger expected shortfall at any target t, every risk-averse holder prefers X.

  7. Example: Same mean, more noise

    pays or , pays or , each with equal chances. Expected shortfall below ?

    1. :
    2. is never worse at any target: it dominates
    3. :
  8. Formula: Jensen for a concave u

    A risk-averse holder values a gamble below its mean; the gap is the risk premium.

  9. Quick check: Price of the risk

    With , a bet pays with chance , else . What is the risk premium?

    Show the answer

    Answer:

    Utility , so ; mean .

  10. Idea: Say it in order

    Compare cumulative chances first: if one curve never rises above the other, no utility is needed.

    • Curves cross: compare means, then shortfalls
    • Both fail: the ranking depends on the utility
    • Then show the answer for a named one