A Note on Choice under Ambiguity with Optimism on Windfall Gains and Pessimism on Catastrophic Losses - PowerPoint PPT Presentation

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A Note on Choice under Ambiguity with Optimism on Windfall Gains and Pessimism on Catastrophic Losses

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Title: A Note on Choice under Ambiguity with Optimism on Windfall Gains and Pessimism on Catastrophic Losses


1
A Note on Choice under Ambiguity with Optimism on
Windfall Gains and Pessimism on Catastrophic
Losses
  • Marcello Basili
  • Department of Economics, University of Siena
  • Alain Chateauneuf
  • CERMSEM, University of Paris-I
  • Fulvio Fontini
  • Department of Economics, University of Padua
  • FUR XII 22-26 June 2006 at LUISS in ROME

2
  • The paper investigates on decision-making process
    involving both risk and ambiguity
  • Attitude towards ambiguity generally (i.e. in
    CPT) pessimism on gains, optimism on losses

3
  • Main Question
  • Is it plausible to conceive the opposite, that
    is pessimism on extreme losses and optimism on
    windfall gains?
  • Second Question
  • In the case of an affirmative answer are there
    relevant consequences?

4
  • There are at least three main sources that
    support our question
  • a) evidence (Etchart-Vincent 2004 JRU, Levy
    and Levy 2002 Man.Sc.)
  • b) introspection
  • c) anecdotal speeches

5
ANECDOTAL SPEECH
  • Ellsberg refereed the situation in which Mr. the
    President of USA had to decide about the
    development of nuclear weapons to face the menace
    of URSS in 60's
  • Ellsberg referred of some meetings in which there
    were all the US Secrete Services (CIA, FBI,
    US-Navy, US-Army, USAF etc.) and Mr. The
    President of USA and his Staff asked them a
    reliable estimation of the number of
    Inter-Continental-Ballistic-Missiles (ICBMs)
    owned by the Red Soviet Army

6
  • The answers were different and went from
    thousands (USAF) to a handful (US-Navy)
  • In a such situation, characterized by a set of
    probability distributions, none of which fully
    reliable, about possible states of the world, Mr.
    the President and his Staff were pessimistic and
    based their decision of developing the ICBM rum
    on the worst possible scenario

7
  • Mr. the President and his Staff assumed that URSS
    had thousands of ICBM and started the production
    of one thousand solid-fueled Minuteman missiles

8
  • In the fall of 1961, as Ellsberg reported, a
    revised highly secret report set that "the
    missile gap favoring the Soviets had been a
    fantasy. There was a gap, but it was currently
    ten to one in our favor. Our 40 Atlas and Titan
    ICBMs were matched by 4 Soviet SS-6 ICBMs at one
    launching site at Plesetsk" (Ellsberg 2002, p.
    32)

9
  • On the basis of this and other real reports we
    think that is possible to assume that
  • differently from the most part of experimental
    evidence (in which losses are generally
    underestimated), people has a pessimistic
    attitude when face catastrophic losses
  • Symmetrically, it seems meaningful for us to
    suppose that persons have an optimistic attitude
    with respect to the windfall gains

10
  • We believe that all these kinds of behavior can
    be represented by a Choquet Integral (CI) that is
    sufficiently general to represent decision
    makers optimism towards unexpected gains and
    pessimism with respect to unusual losses

11
  • Moreover, by restricting attention to a specific
    attitude towards uncertainty (i.e. a specific
    sub-set of capacities) we show that our CI
    assumes an intuitive representation and can be
    further simplified into a linear combination of
    the expected utility and the utility of the most
    extreme outcomes, the highest windfall gain and
    the worst catastrophic loss, whenever the
    decision-makers beliefs assume a simple yet
    intuitive structure, namely symmetry towards risk
    and ambiguity, and faces situations that are
    fully ambiguous

12
  • Our approach has some similarity with the
    Restricted Bayes-Hurwicz Criterion (RBHC)
    proposed by Ellsberg in his Ph.D. Dissertation
    (Ellsberg, 2001)
  • It is the most general criterion of choice
    recommended by Ellsberg in decision-making under
    ambiguity

13
  • The RBHC is a generalization of Hurwiczs
    Criterion or the Maximin Criterion when the
    decision-maker not only considers "the
    reliability, credibility or adequacy of
    information, experience, advice, intuition taken
    as a whole not about the relative support it may
    give to one hypothesis as opposed to another, but
    about its ability to lend support to any
    hypothesis - any set of definite options - at
    all" (Ellsberg 2001, p.192), but also "relative
    willingness to rely upon it in her
    decision-making and various factors enter her
    decision criterion in linear combination"
    (Ellsberg 2001, p. 193)

14
SET-UP
  • The decision-maker has well-defined risk and
    ambiguity attitude
  • The capacity is strictly non-additive on
    unfamiliar events, because of ambiguity attitude,
    and additive on events related to customary
    outcomes
  • As a result, the decision-maker perceives genuine
    ambiguity with respect to unfamiliar losses and
    gains and is ambiguity neutral across the
    customary outcomes

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ASSUMPTIONS
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  • Definition 3 means that the decision-maker takes
    m and M as being equally bad and good, in the
    sense that she takes the biggest familiar loss
    and the highest familiar gain as being equally
    distant from zero
  • Definition 4 means that the decision-maker faces
    the same level of ambiguity in the unfamiliar
    world

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  • Corollary 3 shows that the decision-maker
    represents her beliefs according to a functional
    which is a linear combination of the expected
    outcome over all gains and losses and the
    best/worst ones, where the latter encompass the
    whole weight of ambiguity
  • The right hand side of the CI in (9) shows that
    the decision-maker balances the best windfall
    gain and the worst catastrophic loss that she is
    going to bear
  • For a given degree of confidence ?, she is more
    willing to undertake an act that might lead to
    truly unusual consequences if the former is
    bigger than the latter, and vice versa

29
CONCLUDING REMARKS
  • Since capacities v-, p, v are not restricted,
    Theorem 1 is general and it generalizes the usual
    CI (e.g., Schmeidler 1989) by allowing
    partitioning the set of outcomes into familiar
    and unfamiliar ones and taking into account both
    gains and losses.

30
  • The generality of the result of Theorem 1 is
    reduced in Theorem 2, where v, v- are restricted
    to be simple and simple dual capacities,
    respectively, parametrized by ?, that represents
    the degree of confidence the decision-maker
    maintains on the probabilistic judgment (Dow and
    Werlang 1994, Marinacci 2000)

31
  • In many decision problems simple (and dual
    simple) capacities provide a intuitive and easily
    tractable framework that can be sufficient to
    express decision-makers attitude towards
    ambiguity, whenever one can clearly distinguish
    between ambiguity and risk attitude and identify
    the role that both subjective evaluation of
    outcomes and beliefs play in assessing the
    decision-makers behavior (e.g. Ellsbergs
    two-color urn paradox (Ellsberg 1961)
  • Our representation in the corollary mimics
    Ellsbergs RBHC of choice under ambiguity

32
  • Finally, our approach might induce several useful
    implementations
  • in situations that require the application of the
    precautionary principle, when the decision-maker
    faces extreme events, that is disasters and
    catastrophes (windfall gains, seldom) that are
    characterized by very small or ambiguous
    probabilities of occurring. The new notion of the
    precautionary principle based on our approach is
    not a simple convex combination between maximin
    (conservative act) and maximax criterion
    (dissipative act) - a-MEU approach - but it is a
    combination between the extreme outcomes and
    mathematical expectation of all the possible
    results attached to each act
  • In behavioral finance to extend application of
    prospect theory approach to explain investors
    behavior in financial markets
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