Binomial Tree Definition

Table of Contents

What Is a Binomial Tree?

A binomial tree is a graphical representation of possible intrinsic values that an chance may take at different nodes or time categories. The cost of the selection depends on the underlying stock or bond, and the cost of the selection at any node depends on the possibility that the price of the underlying asset will each decrease or increase at any given node.

Key Takeaways

  • A binomial tree is a representation of the intrinsic values an chance may take at different time categories. 
  • The cost of the selection at any node depends on the possibility that the price of the underlying asset will each decrease or increase at any given node.  
  • On the downside—an underlying asset can most simple be value exactly one among two possible values, which is not sensible. 

How a Binomial Tree Works

A binomial tree is a useful device when pricing American alternatives and embedded alternatives. Its simplicity is its benefit and downside at the equivalent time. The tree is discreet to model out mechanically, on the other hand the problem lies throughout the possible values the underlying asset can soak up one period. 

In a binomial tree model, the underlying asset can most simple be value exactly one among two possible values, which is not sensible, as belongings may also be value any number of values within any given range. A binomial tree allows buyers to guage when and if an chance will likely be exercised. An chance has a greater probability of being exercised if the selection has a positive price. 

Explicit Problems

The binomial alternatives pricing model (BOPM) is a method for valuing alternatives. Step one of the crucial BOPM is to build the binomial tree. The BOPM is in line with the underlying asset over a period of time versus a single cut-off date. 

 There are a few primary assumptions in a binomial chance pricing model. First, there are most simple two possible prices, one up and one down. 2d, the underlying asset pays no dividends. third, the interest rate is constant, and fourth, there don’t seem to be any taxes and transaction costs.

Binomial Tree vs. Black-Scholes Type


The Black Scholes model is any other means for valuing alternatives. Computing the price using the binomial tree is slower than the Black Scholes model. On the other hand, the binomial tree and BOPM are further right kind. This is especially true for alternatives that are longer-dated and those securities with dividend expenses. 

The Black Scholes model is further loyal relating to subtle alternatives and those with a number of uncertainty. In relation to European alternatives without dividends, the output of the binomial model and Black Scholes model converge since the time steps increase. 

Example of a Binomial Tree

Suppose a stock has a worth of $100, chance strike price of $100, one-year expiration date, and interest rate (r) of 5%. 

At the end of the year, there is a 50% probability the stock will upward thrust to $125 and 50% probability it is going to drop to $90. If the stock rises to $125 the cost of the selection will likely be $25 ($125 stock price minus $100 strike price) and if it drops to $90 the selection will likely be worthless. 

The selection price will likely be:

Selection price = [(probability of rise * up value) + (probability of drop * down value)] / (1 + r) = [(0.50 * $25) + (0.50 * $0)] / (1 + 0.05) = $11.90.

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