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A Symmetrical Binomial Lattice Approach , for Modeling Generic One Factor Markov Processes

In  this paper we propose a Symmetrical Binomial Lattice Approach  that  is equivalent  to  the well‐known  and  widely  utilized  Lattice  of  Cox,  Ross  &  Rubinstein  (1979)  when  modeling Geometric Brownian Motion type of processes, but can be utilized for a wide variety of other Markov style stochastic processes. This is due to the highly intuitive construction in which first the expected value expression of the process is directly used and the variance is modeled in a symmetrical  lattice, which  is  added  to  the  first. We  then  demonstrate  its  applicability with several Real Options examples, comparing to the Cox model.