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PROCEEDINGS May 15, 16, 17, 18, 2005 - Casualty Actuarial Society

PROCEEDINGS May 15, 16, 17, 18, 2005 - Casualty Actuarial Society

PROCEEDINGS May 15, 16, 17, 18, 2005 - Casualty Actuarial Society

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APPLICATION OF THE OPTION MARKET PARADIGM 719aggregate claims. Instead, actuarial ratemaking theory tells us touse Formula (1.3).Same Paradigm, Different DetailsThat the same liability at expiry can give rise to different premiums,each of which is appropriate in its own context, is aparadox. It is clear that the premium is not a function solely ofthe liability. Mildenhall attributes the pricing difference to thedifferent risk management paradigms operative in the financialand insurance markets: financial risks are hedged, whereas insurancerisks are diversified. Yet it is possible to bring these twoapparently distinct pricing paradigms together within a singleframework. While it is possible to do so by reference to martingalemeasures and incomplete markets theory (see, for example,Moller [3], [4]), my aim is to make this subject as accessibleas possible to practicing actuaries who may not be familiar withthose concepts. Accordingly, I present the common frameworkas the more tangible and familiar one of asset-liability matching.Within that framework the price for the transfer of a liability is afunction of both the liability and its optimal matching assets.Before we search for the optimal asset strategy, let us explorethe nature of the option liability. If the stock price at expiry isrepresented by a lognormally distributed 2 random variable, x,theexpected value at expiry of the payoff obligation of a Europeancall option is given byE(call t )=Z 1S(x ¡ S)f(x)dx=E(x) ¢ N(d (¹)1 ) ¡ S ¢ N(d(¹) 2 )= P 0 e ¹t ¢ N(d (¹)1 ) ¡ S ¢ N(d(¹) 2), (1)2 If the stock price moves through time in accordance with geometric Brownian motion,the distribution of prices at expiry is lognormal. Note, however, that while Brownianmotion is sufficient for lognormality, it is not necessary.

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