Option pricing models
An option pricing model is a mathematical formula or model into which you insert the following parameters:
- underlying stock or index price
- exercise price of the option
- expiry date of the option
- expected dividends (in cents for a stock, or as a yield for an index) to be paid over the life of the option
- expected risk free interest rate over the life of the option
- expected volatility of the underlying stock or index over the life of the option
When the formula is applied to these variables, the resulting figure is called the theoretical fair value of the option.
Pricing models used by the market
There are two main models used in the Australian market for pricing
equity options: the binomial model and the Black Scholes model. For
most traders these two models will give accurate enough results from
which to work.
There are many other options pricing models
available. Good books on the topic are Hull "Options, Futures, and
other Derivatives" (Prentice Hall) and Natenberg "Option Volatility and
Pricing" (Irwin).
The binomial option pricing model
First
proposed by Cox, Ross and Rubinstein in a paper published in 1979, this
solution to pricing an option is probably the most common model used
for equity calls and puts today.
The model divides the time to
an option’s expiry into a large number of intervals, or steps. At each
interval it calculates that the stock price will move either up or down
with a given probability and also by an amount calculated with
reference to the stock’s volatility, the time to expiry and the risk
free interest rate. A binomial distribution of prices for the
underlying stock or index is thus produced.
At expiry the option
values for each possible stock price are known as they are equal to
their intrinsic values. The model then works backwards through each
time interval, calculating the value of the option at each step. At the
point where a dividend is paid (or other capital adjustment made) the
model takes this into account. The final step is at the current time
and stock price, where the current theoretical fair value of the option
is calculated.
The number of steps in the model determines its
speed, however most home PCs today can easily handle a model with 100
or so steps, which gives a sufficient level of accuracy for calculating
a theoretical fair value.
The Black Scholes model
First proposed by Black and Scholes in a paper published in 1973,
this analytic solution to pricing a European option on a non dividend
paying asset formed the foundation for much theory in derivatives
finance. The Black Scholes formula is a continuous time analogue of the
binomial model.
The Black Scholes formula uses the pricing
inputs to analytically produce a theoretical fair value for an option.
The model has many variations which attempt, with varying levels of
accuracy, to incorporate dividends and American style exercise
conditions. However with computing power these days the binomial
solution is more widely used.
The relationship between fair value and market price
Although the fair value may be close to where the market is trading,
other pricing factors in the marketplace mean fair value is used mostly
as an estimate of the option’s value.
Moreover, fair value will
depend on the assumptions regarding volatility levels, dividend
payments and so on that are made by the person using the pricing model.
Different expectations of volatility or dividends will alter the fair
value result. This means that at any one time there may be many views
held simultaneously on what the fair value of a particular option is.
In
practice, supply and demand will often dictate at what level an option
is priced in the marketplace. Traders may calculate fair value on a
option to get an indication of whether the current market price is
higher or lower than fair value, as part of the process of making a
judgement about the market value of the option.
Volatility
The volatility figure input into an option pricing model reflects
the assumptions of the person using the pricing model. Volatility is
defined technically in various ways, depending on assumptions made
about the underlying asset’s price distribution. For the regular option
trader it is sufficient to know that the volatility a trader assigns to
a stock reflects expectations of how the stock price will fluctuate
over a given period of time.
Volatility is usually expressed in two ways: historical and implied.
Historical
volatility describes volatility observed in a stock over a given period
of time. Price movements in the stock (or underlying asset) are
recorded at fixed time intervals (for example every day, every week, or
every month) over a given period. More data generally leads to more
accuracy.
Be aware that a stock’s past volatility may not
necessarily be reproduced in the future. Caution should be used in
basing estimates of future volatility on historical volatility. In
estimating future volatility, a frequently used compromise is to assume
that volatility over a coming period of time will be the same as
measured/historical volatility for that period of time just finished.
Thus if you want to price a three month option, you may use three month
historical volatility.
Implied volatility relates to the
current market for an option. Volatility is implied from the option’s
current price, using a standard option pricing model. Keeping all other
inputs constant, you can put the current market price of an option into
any theoretical option price calculator and it will calculate the
volatility implied by that option price.
This is one of the key
figures traders watch to assist them in assessing the value of an
option. It is also commonly fed back into the option pricing model to
calculate the option’s theoretical fair value.
Useful website links to find out more about option pricing models
If you type in "derivatives pricing model" or "options pricing
model" into a good search engine, you will get many results. Here are
just a few of the many sites covering this topic:
http://www.hoadley.net/options/bs.htm#Binomial
http://www.hoadley.net/options/bs.htm#Black-Scholes
http://www.schaeffersresearch.com/option/advanced/bscholes.htm

