Valuation of path-dependent American options using a Monte Carlo approach
classification
🧮 math.NA
q-fin.CP
keywords
americancarlomontenoveloptionspath-dependentsimulationvalues
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It is shown how to obtain accurate values for American options using Monte Carlo simulation. The main feature of the novel algorithm consists of tracking the boundary between exercise and hold regions via optimization of a certain payoff function. We compare estimates from simulation for some types of claims with results from binomial tree calculations and find very good agreement. The novel method allows to calculate so far untractable path-dependent option values.
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