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Managing Risks of Supply-Chain Disruptions: Dual ... - CiteSeerX

Managing Risks of Supply-Chain Disruptions: Dual ... - CiteSeerX

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therefore its price is easily known. If the asset is not traded, the current market is sufficiently richto permit to replicate it with a portfolio <strong>of</strong> traded assets. Then the value <strong>of</strong> the investment project isequal to the total value <strong>of</strong> the replicating portfolio to prevent arbitrage pr<strong>of</strong>its.Let’s analyze further the case where the asset is not traded. Suppose that the pr<strong>of</strong>it flow <strong>of</strong> theproject depends on a variable x that follows a geometric Brownian movement:dx = a( x,t)dt + b(x,t)dz = α xdt + σxdz(11)where α is the drift parameter, σ the variance parameter, dz the increment <strong>of</strong> a Wiener Process.To value the project we just need to be able to find some other asset that is traded and “tracks orspans” perfectly the uncertainty in x. Let’s denote X the price <strong>of</strong> this “spanning asset”. Thestochastic process <strong>of</strong> X must verify:dX = A( x,t)Xdt + B(x,t)Xdz(12)where dz is the same increment <strong>of</strong> Wiener Process as the one in the stochastic fluctuations <strong>of</strong> x.If we assume that the replicating asset pays a dividend at rate D ( x,t), its generates the total return:[ D ( x,t)+ A(x,t)]dt + B(x,t)dzwhere D( x,t)+ A(x,t)= µ ( x,t)is the required expected return.XNow, let’s note F(x,t) the value <strong>of</strong> the project . The project yields a random capital gain that wecalculate using Ito’s formula:1 2 2dF = [ Ft ( x,t)+ α xFx( x,t)+ σ x Fxx(x,t)]dt + σxFx( x,t)dz(13)2The project also pays a dividend to the owner that is the pr<strong>of</strong>it flow π ( x,t), and therefore the totalreturn per dollar invested is:1 2π ( x,t)+ Ft( x,t)+ αxFx( x,t)+ σ x2F(x,t)2Fxx( x,t)σxFx( x,t)dt + dzF(x,t)40

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