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Erschienen in: Theory and Decision 4/2020

05.12.2019

On temperance and risk spreading

verfasst von: Christophe Courbage, Béatrice Rey

Erschienen in: Theory and Decision | Ausgabe 4/2020

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Abstract

This paper shows that temperance is the highest order risk preference condition for which spreading N independent and unfair risks provides the highest level of welfare than any other possible allocations of risks. These results are also interpreted through the concept of N-superadditivity of the utility premium. This paper provides a novel application of temperance, not in terms of two risks as it is common, but in terms of N risks.

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Fußnoten
1
Ebert et al. (2017) and Courbage et al. (2018), respectively, reinterpret Eeckhoudt and Schlesinger (2006)’s results by showing that temperance ensures mutual aggravation, respectively, mutual mitigation, of risk changes.
 
2
Obviously, the lottery \((0,X_{1}+X_{2},X_{3})\) is equivalent in terms of welfare to the lottery \((X_{1}+X_{2},0,X_{3})\) that is equivalent to the lottery \((X_{1}+X_{2},X_{3},0)\) since lotteries are three state equiprobable lotteries.
 
3
Risks spreading refers, throughout the paper, to spreading the N risks each over N states.
 
4
Note that there exists cases where each risk \(X_{i}\) is such that \( E(X_{i})\le 0\) and where it is impossible to compare random variables \(X_{i} \) with zero via a statistical rule. See Denuit et al. (1998) and Denuit et al. (2001) for more details.
 
5
Note that under simple and usual regularity conditions (u defined over \( \mathbb {R}^{+}\), non-satiation and bounded marginal utility tending to plus infinity), item (b) of Proposition 1 holds when the DM is only temperate without requiring risk aversion and prudence (see Menegatti 2014, Propositions 2 and 3). Indeed, under these simple conditions, Menegatti (2014) shows that prudence implies risk aversion and that temperance implies prudence.
 
6
In item (b) of Proposition 1, we assume that each \(X_{i}\) is dominated by 0 via second-order stochastic dominance as it is usual in economics since Rothschild and Stiglitz (1970). Note that second-order stochastic dominance implies stochastic dominance of higher orders. Consequently, our results hold in cases where \(X_{i}\preceq _{{\text {SD}}-s}0\)\(\forall s\ge 3\). If, instead of the Rothschild and Stiglitz assumption, we assume that \(X_{i}\preceq _{{\text {SD}}-s}0\) with \(s\ge 3\), it is easy to show that item (b) of Proposition 1 writes then as follows: for all mixed risk averse from 1 to 2s decision-makers (\((-1)^{n+1}u^{(n)}>0\)\(\forall n=1,\ldots ,2s\)) when \( X_{i}\preceq _{{\text {SD}}-s}0\).
 
7
In the case where the L background risks are not introduced in each state, they can be then considered as additional risks. The DM faces then \(N+L\) risks. If we assume \(\tilde{\epsilon }_{l}\preceq _{{\text {SD}}_{k}}0\) with \(k=1,2,\) i.e. if we assume that these risks share the same properties as \(X_{i}\) for all i, this case brings us back to the previous remark (i.e. the case with a number of risks greater than the number of states).
 
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Metadaten
Titel
On temperance and risk spreading
verfasst von
Christophe Courbage
Béatrice Rey
Publikationsdatum
05.12.2019
Verlag
Springer US
Erschienen in
Theory and Decision / Ausgabe 4/2020
Print ISSN: 0040-5833
Elektronische ISSN: 1573-7187
DOI
https://doi.org/10.1007/s11238-019-09737-0

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