(a) The notion of premium calculation principle has become fairly generally accepted in the risk theory literature. For completeness we repeat its definition: A premium calculation principle is a functional assigning to a random variable X (or its distribution function F x (x) ) a real number P. In symbols The interpretation is rather obvious. The random variable X stands for the possible claims of a risk whereas P is the premium charged for assuming this risk. This is of course formalizing the way actuaries think about premiums. In actuarial terms, the premium is a property of the risk (and nothing else ), e.g. (b) Of course, in economics premiums are not only depending on the risk but also on market conditions . Let us assume for a moment that we can describe the risk by a random variable X (as under a)), describe the market conditions by a random variable Z . Then we want to show how an economic premium principle can be constructed. During the development of the paper we will also give a clear meaning to the random variable Z : In the market we are considering agents i = 1, 2, …, n . They constitute buyers of insurance, insurance companies, reinsurance companies. Each agent i is characterized by his utility function u i (x) [as usual: ] initial wealth w i . In this section, the risk aspect is modelled by a finite (for simplicity) probability space with states s = 1, 2, …, S and probabilities π s of state s happening.
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Hans Bühlmann (1980) studied this question.