Thetrinomial tree is alattice-basedcomputational model used infinancial mathematics to priceoptions onequity. It was developed byPhelim Boyle in 1986. It is an extension of thebinomial options pricing model, and is conceptually similar. It can also be shown that the approach is equivalent to theexplicitfinite difference method for option pricing.[1]
Trinomial treesare also deployed[2] forfixed income andinterest rate derivatives; see underLattice model (finance).
Under the trinomial method, theunderlying stock price is modeled as a recombining tree, where, at each node the price has three possible paths: an up, down and stable or middle path.[3] These values are found by multiplying the value at the current node by the appropriate factor, or where
and the corresponding probabilities are:
In the above formulae: is the length of time per step in the tree and is simply time to maturity divided by the number of time steps; is therisk-free interest rate over this maturity; is the correspondingvolatility of the underlying; is its correspondingdividend yield.[4]
As with the binomial model, these factors and probabilities are specified so as to ensure that the price of theunderlying evolves as amartingale, while themoments – considering node spacing and probabilities – are matched to those of thelog-normal distribution[5] (and with increasing accuracy for smaller time-steps). Note that for,, and to be in the interval the following condition on has to be satisfied.
Once the tree of prices has been calculated, the option price is found at each node largelyas for the binomial model, by working backwards from the final nodes to the present node (). The difference being that the option value at each non-final node is determined based on the three – as opposed totwo – later nodes and their corresponding probabilities.[6]
If the length of time-steps is taken as an exponentially distributed random variable and interpreted as the waiting time between two movements of the stock price then the resulting stochastic process is abirth–death process. The resultingmodel is soluble and there exist analytic pricing and hedging formulae for various options.
The trinomial model is considered[7] to produce more accurate results than the binomial model when fewer time steps are modelled, and is therefore used when computational speed or resources may be an issue. Forvanilla options, as the number of steps increases, the results rapidly converge, and the binomial model is then preferred due to its simpler implementation. Forexotic options the trinomial model (or adaptations[8]) is sometimes more stable and accurate, regardless of step-size.