In 1973, Fisher Black (left, below) and Myron Scholes (centre) discovered how to price an option. Robert Merton (right) revealed another way of arriving at this result: his methods permitted a wide expansion of the Black-Scholes result. Sadly, Fisher Black died in 1995. In 1997, Scholes and Merton shared the 1997 Nobel prize in Economics.
The mathematics involved is one of those rare meetings of the seriously useful and the inherently beautiful.
The aim of all that follows is to describe and illustrate the Black Scholes pricing method.
The diagrams illustrate the pay-off from (on the left) a forward contract to sell the asset and (on the right) a forward contract to sell an asset.
And from the above diagrams, it is clear that the potential for unbounded losses exists with both long and short forward contracts. What was urgently desired was a product that allowed a commodity to be bought or sold but where that long potentially damaging tail into negative territory was reassuringly absent.
Enter call and put options.
An arbitrage opportunity is a situation which can be used to generate a guaranteed, risk free profit.
It is a principle of financial mathematics that arbitrage opportunities do not exist.
[If an arbitrage opportunity did arise, it would be spotted very quickly by hundreds of hawk eyed traders. They would exploit the situation and by so doing, remove the in-balance in pricing that lead to the arbitrage opportunity.]
This is the deal. A hedge fund believes the value of an asset (a share, a currency) will fall. In a short sale, the hedge fund will 'borrow' the asset (from a stoke broker) and sell it (short the asset). Later, the hedge fund will buy the asset in the open market and 'return' it to the stockbroker. (close out the sale) IF - as expected - the value of the asset has fallen, the hedge fund make a profit. Otherwise, a loss.
Short selling is tightly regulated and controversial. It is used widely in finance - and is a very helpful concept in pricing theory.
Now we come to the crux of the matter. Is there a value for C that is fair to both parties? It was for answering this question that Black and Scholes are justly famous. Before we can move towards an explanation of their answer, we must develop ideas in four areas:
[1] we shall need a realistic model for the behaviour of the underlying asset (the share).
[2] we need to understand how interest rates work and how they can be accomodated in our program.
[3] what is an "expected value"? Linguistically, an "expected value" might be what we are looking for. So what is it, mathematically?
In each figure below are shown three sample paths. The first (top left) shows three Brownian Motions. The other two figures illustrate how these Brownian Motions can be transformed to accommodate certain beliefs in how the share price might behave in practice.
The graphs illustrate the idea. We have shown two paths to t = 300. E[t] is the expected value of the discounted pay-off given knowledge of the path prior to time t.
Before we invest hard cash in this suggestion, we need some evidence that it is correct. Such evidence could be provided by a hedging portfolio. This would be a portfolio of traded assets. We will have some units of the underlying asset, S(t) and, to reduce risk, some units of the risk free cash bond B(t).
Let's have, at time t, a(t) units of the share and b(t) units of the cash bond. This would give the portfolio (at time t), a value of:
V(t) = a(t)*S(t) + b(t)*B(t)
The idea is that this portfolio will match, seamlessly and at all times, the value of the option. We need two things to happen.
(i) At maturity, V(T) = X (at maturity: portfolio value = option value)
(ii) The portfolio is self-financing. This means that all changes to the values of S and B are financed entirely from within the portfolio. If the portfolio needs more units of the share, units of the bond are sold to finance the purchase. If the portfolio needs fewer units of the share, the cash from the sale of the surplus shares is invested, in its entirety, in units of the bond. And similarly with any changes needed in units of the bond. Critically: after the portfolio is set up and prior to maturity, no cash leaves the portfolio: no external cash is invested in the portfolio.
Under these conditions, at all times, the value of the portfolio will match, precisely, the value of the option. To see this, suppose that at some time, the portfolio value was greater than the option value, then:
An investor could (short) sell the portfolio, buy the option and invest the excess at the safe rate r.
At maturity: sell the option and use the money to buy the portfolio (at maturity, their values are equal). Return the portfolio (close out the short sale) and withdraw the cash from your investment. This will give the lucky investor a guaranteed, risk free profit. It's an Arbitrage Opportunity. We are agreed. Never going to happen.
Similarly, if at some time, the option value was greater than the portfolio's value.
We conclude: throughout the life of the option: portfolio value = option value.
It would appear that all we have to do to find value of the option at t = 0 is: find the value of the portfolio, V(0), at t = 0.
Call option, K = 10
Put option. K = 10
Four sections explain the method
The Black Scholes type formulae applied to the Expected Value of the Z function. Observe the 'new' strike.
Values of a call option with strike K=10. Rate = 0.3, sigma = 0.8, T = 0.5
One dividend payment with D = 0.2
Values of a Put option; data as above.
Thales (4th century BC)
Russell Sage (1815 - 1906)
Thales was an astromoner and from his observations of the stars, came to believe the next olive harvest would be plentiful. Hence, there would be a healthy demand for olive presses. Thales paid olive press owners to secure the right to used their presses at harvest time. There was, indeed, a huge harvest that year. Thales then re-sold the rights to these presses and made a timely profit! He had bought the right to use the presses: not an obligation. He demonstrated also that options can be profitably traded.
Unlikely as it seems, in 1634, Holland experienced a market bubble in, of all things, tulips. There was a tulip mania with the price of some bulbs rising astronomically. Tulip growers wanted to protect their profits against against falling prices; they bought what amounted to put options. Wholesalers, on the other hand were afraid of a rising price: they protected their positions by buying call options. So options can be used as insurance against adverse market conditions. (This is known as 'hedging')
In the late 19th century, Russell Sage (pictured above) created options that could be traded. These were 'over the counter' trades, largely unregulated. Sage was the first person to exhibit a relationship between the price of the option ($C), the value of the underlying asset and interest rates.
The year 1973 was a good year for options. The Chicago Board of Trade, in 1973 opened The Chicago Board of Options Exchange (CBOE). Options were now standardised and for the first time, were traded on an established exchange.
Just as important: this was the year in which Black and Scholes published their epoch making formula allowing, for the first time, the value of an option to be calculated.
Financial Calculus, Baxter and Rennie,
Cambridge University Press, 1996
Financial Products, Dalton
Cambridge University Press, 2008
A Course in Financial Calculus, Etheridge
Cambridge University Press, 2002
The next step (for me) is to understand option pricing when the asset is subject to unpredicatable jumps. The layers of uncertainty, in finance as in life, just keep on building. Goodbye. Thank you for reading this.
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