Abstract
An insurance model, with realistic assumptions about coverage, deductible and premium, is studied. Insurance is shown to decrease the variance of the cost to the insured, but increase the expected cost, a tradeoff that places our model in the Markowitz mean-variance model.





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Appendix: Proof of Theorem 1
Appendix: Proof of Theorem 1
We prove (42)
given that (22) holds,
which implies that either
or
hold.
From (39),
and
By (41) the partial derivative of \(\operatorname {Var}L(\mathbf{X})\) w.r.t. C is
We calculate next the three derivatives on the right side.
-
(a)
Clearly,
$$ \frac{\partial}{\partial C}\operatorname{Var}\mathbf{X}=0. $$(55) -
(b)
$$\begin{aligned} \frac{\partial}{\partial C}\operatorname{Var}\phi(\mathbf {X})&=(2C-2D) \int _C^\infty f(x) \,dx+2 \int_D^C (D-x)f(x) \,dx \int_C^\infty f(x) \,dx \\ &\quad -2(C-D) \biggl(\int_C^\infty f(x) \,dx \biggr)^2 \\ &=2 \int_C^\infty f(x) \,dx \biggl[C \int _0^C f(x) \,dx \\ &\quad -D \int_0^D f(x) \,dx-\int_D^C xf(x) \,dx \biggr] \end{aligned}$$(56)
-
(c)
From (39),
$$\begin{aligned} \operatorname{E} \bigl(\mathbf{X}\phi(\mathbf{X})\bigr) - \operatorname {E} \mathbf{X}\operatorname{E} \phi(\mathbf{X}) &= D \biggl[\int_D^\infty x f(x) \,dx - (\operatorname{E} \mathbf{X}) \int_D^\infty f(x) \,dx \biggr] \\ &\quad -C \biggl[\int_C^\infty x f(x) \,dx - ( \operatorname{E} \mathbf {X}) \int_C^\infty f(x) \,dx \biggr] \\ &\quad - \biggl[\int_D^C x^2 f(x)\,dx-( \operatorname{E} \mathbf{X}) \int_D^Cx f(x) \,dx \biggr]. \end{aligned}$$
Therefore
Substituting (55), (56), and (57) in (54) we get
Rearrange (58) to get
The right side of (59) can be written as
Similarly, (60) is negative if (51) holds, because then
This completes the proof of (42) if any of the conditions (50)–(51) holds.
The inequality (43) is similarly proved.
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Gaffney, C., Ben-Israel, A. A simple insurance model: optimal coverage and deductible. Ann Oper Res 237, 263–279 (2016). https://doi.org/10.1007/s10479-013-1469-2
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DOI: https://doi.org/10.1007/s10479-013-1469-2