Let us consider a portfolio of homeowners and automobile insurance policies. There are 1000 homeowner's policies sold, and 2000 auto policies sold by an insurer. The data on each risk and correlations is as follows: Auto policies: Mean loss = $500, Standard deviation of losses = $700, correlation among auto risks = 0.1 Homeowners' (HO) policies: Mean loss = $300, Standard deviation of losses $400, correlation among auto risks = 0.2 = The cross correlations between the Auto and HO policy = 0.005. What is the mean loss on the entire pool of auto and HO combined (portfolio) together? What is the standard deviation of the mean loss per policy?

MATLAB: An Introduction with Applications
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Let us consider a portfolio of
homeowners and automobile
insurance policies. There are 1000
homeowner's policies sold, and
2000 auto policies sold by an
insurer. The data on each risk and
correlations is as follows:
Auto policies: Mean loss = $500,
Standard deviation of losses =
$700, correlation among auto
risks = 0.1
Homeowners' (HO) policies: Mean
loss = $300, Standard deviation
of losses = $400, correlation
among auto risks = 0.2
The cross correlations between
the Auto and HO policy = 0.005.
What is the mean loss on the
entire pool of auto and HO
combined (portfolio) together?
What is the standard deviation of
the mean loss per policy?
Transcribed Image Text:Let us consider a portfolio of homeowners and automobile insurance policies. There are 1000 homeowner's policies sold, and 2000 auto policies sold by an insurer. The data on each risk and correlations is as follows: Auto policies: Mean loss = $500, Standard deviation of losses = $700, correlation among auto risks = 0.1 Homeowners' (HO) policies: Mean loss = $300, Standard deviation of losses = $400, correlation among auto risks = 0.2 The cross correlations between the Auto and HO policy = 0.005. What is the mean loss on the entire pool of auto and HO combined (portfolio) together? What is the standard deviation of the mean loss per policy?
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