Abstract
This paper proposes additional definitions of what it means for one decision maker to be more risk averse than another. These definitions build on the strongly more risk averse definition presented by Ross (Econometrica 49:621–663, 1981). Using examples from portfolio choice, self-protection and insurance demand, it is shown that these definitions of increased risk aversion facilitate clear-cut comparative statics analysis in decision models where traditional concepts of increased risk aversion are insufficient.
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Notes
A direct application of this result is that under decreasing absolute risk aversion or DARA, the amount invested in the risky asset increases as an investor’s initial wealth increases (Pratt 1964).
When the insurance is fairly priced, all risk averse individuals will choose full coverage (Mossin 1968).
According to Ross, \(\tilde{y}\) is “larger and riskier” than \(\tilde{x}\) if there is \(\tilde{z}\) such that \(\tilde{z}\) dominates \(\tilde{x}\) in FSD and is a mean-preserving contraction from \(\tilde{y}\). In the terminology of Liu and Meyer (2016), \(\tilde{y}\) is said to be larger than \(\tilde{x}\) in the increasing convex order.
Caballe and Pomansky (1996) study the properties of the utility functions that display mixed risk aversion. Almost all commonly used utility functions are mixed risk averse. Ekern (1980) characterizes \((-1)^{n+1}u^{(n)}(x)>0\) as aversion to “nth-degree risk increases,” which include as special cases the first-degree stochastically dominated change (\(n = 1\)), the Rothschild and Stiglitz (1970) mean-preserving spread (\(n = 2\)), and the Menezes et al. (1980) downside risk increase (\(n = 3\)). Eeckhoudt and Schlesinger (2006) further establish that mixed risk aversion is characterized by preference for combining “good” with “bad”.
Obviously, and whenever there exists such a relationship between two given u(x) and v(x), both the linear form and the signs of k and b would be invariant to different (but equivalent) utility representations of the two DMs’ preferences even though specific parameter values may vary. Note that all the results in this section do not depend on the specific parameter values of \(k,\,a\) and b.
See Weymark (1993) for alternative forms of Harsanyi’s preference aggregation theorem.
This is equivalent to requiring \({E\left\{ {{u}''[\lambda \tilde{x}_1 +(1-\lambda )\tilde{x}_2 ](\tilde{x}_1 -\tilde{x}_2 )^{2}} \right\} } <0\) for all \(\lambda \in [0,1]\). Note that the unique maximum does not have to be an interior solution.
This and other comparative static results in the paper are presented in an EU framework for easy comparison with similar results in the literature. Nonetheless, it should be pointed out that most of the results obtained in this paper still hold without the assumption of expected utility representation, because as is clear from the proofs of these results, only the behavioral definition (i) in Theorem 1 (or in Theorem 2) of linearly-restricted (or quadratically-restricted) more risk aversion is used.
For the precise meaning of “larger and riskier,” see Footnote 3.
Obviously, whenever there exists such a relationship between two given u(x) and v(x), both the quadratic form and the sign constraints on the parameters would be invariant to different (but equivalent) utility representations of the two DMs’ preferences even though specific parameter values may vary. Note that all the results in this section do not depend on the specific parameter values of \(k,\,a,\,b\) and c.
By a similar argument to that in the proof of Theorem 1, u(x) being a quadratic function means that v(x) is not only quadratic but also represents the same preferences.
Gollier (2001, pp. 45–46) generalizes this result to n assets with returns that are i.i.d.
Note that the condition that additional self-protection always reduces the mean of the final wealth, or \({p}'(I)L+1\ge 0\) for all I, is satisfied as long as \({p}'(0)L+1\ge 0\), given the standard assumption that \({p}''(I)>0\).
All commonly used utility functions display mixed risk aversion as defined by Caballe and Pomansky (1996).
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We thank two reviewers for excellent and useful comments which greatly improved the findings and presentation of the paper. We also thank Michel Denuit for insightful discussions of the issues addressed in this paper.
Appendix
Appendix
1.1 Ross more risk aversion is not sufficient for proposition 4
Let v(x) be a quadratic utility function that is increasing and concave in the relevant interval, and let \(u(x)\equiv kv(x)+\phi (x)\), where \({k} >0\) and \(\phi (x)\) is a chosen cubic function with \({\phi }'(x)\le 0,\,{\phi }''(x)\le 0\) and \({\phi }'''(x)>0\) in the relevant interval. Further assume that v(x), k and \(\phi (x)\) are chosen in such a way that u(x) is still increasing in the relevant interval (the concavity of u(x) is guaranteed due to \({\phi }''(x)\le 0)\). From Ross (1981), it is the case that this u(x) is Ross more risk averse than v(x).
Let \(\tilde{x}_1 \) and \(\tilde{x}_2 \) be independent, with \(E\tilde{x}_1 =E\tilde{x}_2 =\mu ,\,\hbox {Var}(\tilde{x}_1 )=\hbox {Var}(\tilde{x}_2 )=\sigma ^{2}\) and \(E(\tilde{x}_1^3 )>E(\tilde{x}_2^3 )\). Because v(x) is quadratic and risk averse, \({Ev} [\lambda \tilde{x}_1 +(1-\lambda )\tilde{x}_2 ]\) is maximized at \(\lambda _v =\frac{1}{2}\).
Therefore, although u(x) is Ross more risk averse than v(x), the optimally chosen portfolio for u(x), represented by \(\lambda _u \), cannot be closer to perfect diversification than that chosen by v(x). Indeed, we can show that \(\lambda _u >\frac{1}{2}\). To see this, note that given the requirements for the construction of u(x) we can express \(u(x)=ax^{3}+bx^{2}+cx+d\) with \(a>0\). We prove \(\lambda _u >\frac{1}{2}\) by showing that \(d\left\{ { {Eu} [\lambda \tilde{x}_1 +(1-\lambda )\tilde{x}_2 ]} \right\} /d\lambda >0\) at \(\lambda =\frac{1}{2}\). Indeed,
Therefore,
1.2 Ross more risk aversion and insurance with default risk (Sect. 3.3)
We follow Schlesinger (2000) to assume fair pricing (\(\lambda =0\)) and an interior solution. From (6), the optimal coverage for u(x), denoted by \(\alpha _u \), satisfies the equation
where
Now choose an arbitrary \(\phi (x)\) such that \({\phi }'(x)\le 0\) and \({\phi }''(x)\le 0\), and let \(v(x)\equiv u(x)+\phi (x)\). We have that v(x) is Ross more risk averse than u(x) (Ross 1981). Then consider
Although we know that \({\phi }'\left( {Y_1 } \right) , {\phi }'\left( {Y_2 } \right) ,\hbox { and }{\phi }'\left( {Y_3 } \right) \) are all nonpositive and that \({\phi }'\left( {Y_1 } \right) \le {\phi }'\left( {Y_2 } \right) \le {\phi }'\left( {Y_3 } \right) \), these conditions are not sufficient for signing \(\frac{\hbox {d}Ev\left( {\tilde{w}(\alpha )} \right) }{\hbox {d}\alpha }\left| {_{\alpha _u } } \right. \). Indeed, \(\frac{\hbox {d}Ev\left( {\tilde{w}(\alpha )} \right) }{\hbox {d}\alpha }\left| {_{\alpha _u } } \right. \) can be of any sign due to the arbitrariness of \(\phi (x)\).
Therefore, the Ross more risk aversion does not necessarily imply more coverage in the insurance model with default risk.
1.3 Proof of Lemma 2
Lemma 2
If a risk averse individual is also prudent (i.e., \({u}'''(x)>0\)), then the optimally chosen coverage satisfies \(\alpha ^ *<\frac{1-p}{1-pq}<1\).
Proof
From (6), it is readily seen that, for a risk averse \(u(x),\,\frac{\hbox {d}^{2}Eu\left( {\tilde{w}(\alpha )} \right) }{\hbox {d}\alpha ^{2}}<0\). Therefore, if \(\frac{\hbox {d}Eu\left( {\tilde{w}(\alpha )} \right) }{\hbox {d}\alpha }<0\) at some \(\bar{{\alpha }}>0\), we would know that \(\alpha ^*<\bar{{\alpha }}\).Footnote 21
Now we complete the proof by showing that \(\frac{\hbox {d}Eu\left( {\tilde{w}(\alpha )} \right) }{\hbox {d}\alpha }<0\) at \(\bar{{\alpha }}=\frac{1-p}{1-pq}<1\). Indeed,
let
Because \(w_3>w_2 >w_1 \) and \({u}'''(x)>0\), we have from the intermediate value theorem that
which implies that
or, replacing some \(\bar{{\alpha }}\) in the above inequality with \(\frac{1-p}{1-pq}\) and multiplying through by \(-(1+\lambda )(1-pq)\),
From (6), and using (7) and noting \(\lambda \ge 0\), we have \(\frac{dEu\left( {\tilde{w}(\alpha )} \right) }{d\alpha }<0\) at \(\bar{{\alpha }}=\frac{1-p}{1-pq}<1\). Therefore, \(\alpha ^*<\frac{1-p}{1-pq}<1\). \(\square \)
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Eeckhoudt, L., Liu, L. & Meyer, J. Restricted increases in risk aversion and their application. Econ Theory 64, 161–181 (2017). https://doi.org/10.1007/s00199-016-0978-z
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DOI: https://doi.org/10.1007/s00199-016-0978-z