o
i
l
o
f
t
r
o
P
:
g
n
i
l
o
o
P
k
s
i
R
Z
o
i
l
o
f
t
r
o
P
:
g
n
i
r
a
h
S
k
s
i
R
V
R
Z
2 R
R
V
2(y/2)R
yR
Z
2
5
5
2y
2 2
V
2
5
5
2 y /2
2 2
5
5
y
2 2
/2
Z
5
Z
2
5 y
2
V
5
V
2
5 y / 2
S
(
)
Z
5 R
Z
/
Z
5 2yR/ y
2 5 2R/
S
V
5 R
V
/
V
5
2R/
y
We observe that portfolio V matches the attractive Sharpe ratio of portfolio Z, but with
lower volatility. Thus risk sharing combined with risk pooling is the key to the insurance
industry. True diversification means spreading a portfolio of fixed size across many assets,
not merely adding more risky bets to an ever-growing risky portfolio.
To control his total risk, Warren had to sell off a fraction of the pool of assets. This
implies that a portion of those assets must now be held by someone else. For example,
if the assets are insurance policies, other investors must be sharing the risk, perhaps by
buying shares in the insurance company. Alternatively, insurance companies commonly
“reinsure” their risk by selling off portions of the policies to other investors or insurance
companies, thus explicitly sharing the risk.
We can easily generalize Warren’s example to the case of more than two assets.
Suppose the risky pool has n assets. Then the volatility of the risk-sharing portfolio will
be s
V
5 ys/"n, and its Sharpe ratio will be "nR/s. Clearly, both of these improve as n
increases. Think back to our gambler at the roulette wheel one last time. He was wrong to
argue that diversification means that 100 bets are less risky than 1 bet. His intuition would
be correct, however, if he shared those 100 bets with 100 of his friends. A 1/100 share of
100 bets is in fact less risky than one bet. Fixing the amount of his total money at risk as
that money is spread across more independent bets is the way for him to reduce risk.
14
14
For the Las Vegas gambler, risk sharing makes the gambles ever more certain to produce a negative rate of
return, highlighting the illness that characterizes compulsive gambling.
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C H A P T E R
7
Optimal Risky Portfolios
233
With risk sharing, one can set up an insurance company of any size, amassing a large
portfolio of policies and limiting total risk by selling shares among many investors. As the
Sharpe ratio steadily increases with the number of policies written, while the risk to each
diversified shareholder falls, the size of ever-more-profitable insurance companies appears
unlimited. In reality, however, two problems put a damper on this process. First, burdens
related to problems of managing very large firms will sooner or later eat into the increased
gross margins. More important, the issue of “too big to fail” may emerge. The possibility of
error in assessing the risk of each policy or misestimating the correlations across losses on
the pooled policies (or worse yet, intentional underestimation of risk) can cause an insur-
ance company to fail. As we saw in Chapter 1, too big to fail means that such failure can
lead to related failures among the firm’s trading partners. This is similar to what happened
in the financial crisis of 2008. The jury is still out on the role of lack of scruples in this affair.
It is hoped that future regulation will put real limits on exaggerated optimism concerning
the power of diversification to limit risk, despite the appealing mitigation of risk sharing.
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