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In finance, the binomial options pricing model (BOPM) provides a generalizable numerical method for the valuation of options.Essentially, the model uses a "discrete-time" (lattice based) model of the varying price over time of the underlying financial instrument, addressing cases where the closed-form Black–Scholes formula is wanting.
Here the price of the option is its discounted expected value; see risk neutrality and rational pricing. The technique applied then, is (1) to generate a large number of possible, but random, price paths for the underlying (or underlyings) via simulation, and (2) to then calculate the associated exercise value (i.e. "payoff") of the option for ...
%If Unchanged Potential Return = (call option price - put option price) / [stock price - (call option price - put option price)] For example, for stock JKH purchased at $52.5, a call option sold for $2.00 with a strike price of $55 and a put option purchased for $0.50 with a strike price of $50, the %If Unchanged Return for the collar would be:
A typical option strategy involves the purchase / selling of at least 2-3 different options (with different strikes and / or time to expiry), and the value of such portfolio may change in a very complex way. One very useful way to analyze and understand the behavior of a certain option strategy is by drawing its Profit graph.
A long butterfly options strategy consists of the following options: Long 1 call with a strike price of (X − a) Short 2 calls with a strike price of X; Long 1 call with a strike price of (X + a) where X = the spot price (i.e. current market price of underlying) and a > 0. Using put–call parity a long butterfly can also be created as follows:
In finance, a price (premium) is paid or received for purchasing or selling options.This article discusses the calculation of this premium in general. For further detail, see: Mathematical finance § Derivatives pricing: the Q world for discussion of the mathematics; Financial engineering for the implementation; as well as Financial modeling § Quantitative finance generally.
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As above, the PDE is expressed in a discretized form, using finite differences, and the evolution in the option price is then modelled using a lattice with corresponding dimensions: time runs from 0 to maturity; and price runs from 0 to a "high" value, such that the option is deeply in or out of the money. The option is then valued as follows: [5]