Measures of solvency in the regulation of the UK life assurance industry
Abstract
The problem of designing appropriate solvency regulations is addressed with respect
to the U. K. life assurance industry using various theoretical and methodological
techniques. These alternative approaches to the measurement of insurer solvency
are explored in order to provide a framework for assessing regulations. Reviews of
the current insurance regulatory environment as well as an extensive statistical and
economic analysis of the life assurance industry provide a practical backdrop to
subsequent model building.
Building on these reviews, a 'Monte-Carlo' simulation model of an insurer portfolio
is constructed to demonstrate additional considerations relevant to solvency
regulation. The hypothetical insurance company is assumed to maximise the
expected utility of 'ultimate surplus', which is taken as an indicator of end-of-period
wealth. Five asset classes are used and liabilities are assumed fixed. The simulated
run-off performance of the portfolio is evaluated in terms of the probability of
insolvency demonstrating a 'U' shaped relationship between the risk preference of
the insurer and the insolvency probability.
Implications for the design of regulatory constraints are also assessed with respect to
the simulations. In particular, the contrast between ex ante and ex post measures of
insurer solvency are highlighted with the conclusion taken that current regulations
might gain further insight into the underlying solvency performance of insurance
companies if they were to use ex ante solvency measures. This subsequent policy
prescription is qualified by two factors: first, that the value of simulations and
forecasting as an ex ante measure of performance is only as good as the models used
to forecast ex ante; and second, that any proposed regulatory shift must be assessed
within a cost-benefit analysis. Overall, the simulation analysis suggests that current
regulations provide an incomplete picture of the solvency performance of the U. K.
life assurance industry.
Type
Thesis, PhD Doctor of Philosophy
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