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Recombining Trinomial Tree for Real Option Valuation with ...

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used in explaining the idea of risk-neutral pricing and delta hedging while also illustrating thediscretized stochastic process graphically. Secondly, be<strong>for</strong>e the era of PCs and spreadsheetprograms, the computations required by the CRR model <strong>for</strong> options and the Greeks valuationwere easier due to the centrality property. There<strong>for</strong>e, CRR has become a de facto standard <strong>for</strong>binomial models yet some other binomial models are better in terms of consistency, accuracy,stability, and convergence (computational) speed.The parameters suggested by CRR are an exact solution to Equation (1) but only anapproximation <strong>for</strong> Equation (2) For sufficiently small ∆t, (2) can be approximately satisfied. As aresult of this approximation, consistency is not perfect, because the variance is slightlydownward biased (Trigeorgis 1991). The largest disadvantage of the CRR is that it loses stabilityif Δ ⁄ and as a result, other probability becomes larger that one and another smaller thanzero.Another way to specify the equations <strong>for</strong> up and down movements is to set p u = p d = 0.5. In thiscase, /√ /√ /(7)(8)(9)As a result, 1, and there<strong>for</strong>e centrality is lost 3 . The advantage of RB parameterization isthat it is an exact solution to the equations (1) and (2), and there<strong>for</strong>e it has perfect consistency sothat the mean and variance of the underlying lognormal diffusion process are the same <strong>for</strong> anystep size. There<strong>for</strong>e the lattice is always stable, has correct volatility, and converges faster thanCRR to the analytical continuous time solution (Jabbour et al., 2001).There are two small modifications suggested to the previously mentioned common binomiallattice models so that they would become better <strong>for</strong> real option valuation purposes. The standarddeviation of the proportional change in the stock price in a small interval of time Δt isapproximately √Δ. There<strong>for</strong>e, volatility can be interpreted as the standard deviation of thepercentage change in the stock price when return is expressed using continuous compounding.Because numerical accuracy requirements are smaller in ROV than <strong>with</strong> financial options (Mun2006), most managerially oriented books and their examples suggest using sufficiently long timesteps. However, lattice valuation methods assume that Δt is a small time interval, and otherwise3 Jabbour, Kramin & Young (2001) present how this can be modeled so that centrality remains as well.8

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