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Black-Scholes-Merton as Beachhead




The above graph is a visual representation of the Black-Scholes model. Or Black-Scholes-Merton if you want credit shared equitably and "you're not into the whole brevity thing," Mr Lebowski.
As you can see, there are three axes. The x axis (the width of the box) is the price of the underlying asset, the stock price, treating the strike price in the center as 1. The y axis (the height of the box) is the volatility of that option. The z axis (the depth of the box) is the time to maturity [and either exercise or expiration].

 
As you can see, the plane of various shades of blue (the darker the blue, the higher) has a sharp crease at the front/center/bottom of the box, where the sharp difference between winners and losers on the lottery’s drawing date is indicated.

We should also mention that the volatility that goes into the calculations as we’ve described them above is historical volatility. One of the assumptions of the BSM model is constant volatility. This is a counter-factual assumption: volatility does in fact change.

Another phrase you might want to remember is: implied volatility. That comes up when a theorist is doing his calculations in the other direction. If we know the present price of both the underlying stock and the stock option, what degree of historical/constant volatility does their relationship imply?

As you might have grasped by now, the elegance of the BSM model, the elegance of that neatly sloping blue plane in the box, comes at some cost in heroic assumptions. We have to assume that the movement of stock values describes a bell curve rather than a non-normal sort of curve. We also have to assume that the standard deviation of that bell curve remains constant over time. We also have to assume the degree of liquidity and transparency in the markets necessary to make arbitrage easy, because that assumption is behind the various proofs of these equations.

Does all that make the model worthless? Not at all. As Emanuel Derman has written, all models sweep dirt under the rug. A good model is one that “makes explicit the dirt swept away,” and BSM is decidedly a good model in this sense.

BSM was a beachhead of an invasion. In showed the way, and other intellectual troops rushed in to widen the territory covered. Stock options, after all, are just one example of a broad category of instrument, known as derivatives. The value of a stock option depends upon that of the underlying stock, and in like manner the value of other derivatives depends upon the value of other sorts of underlying asset.

The brain power of the quantitative analysts (“quants”) of the world focused on this point: how far could the underlying logic of the BSM model be extended to other sorts of derivative? The answer turns out to be: quite far indeed. Yet extending its realm doesn’t change the nature of the assumptions built into it, nor the fact of their fallibility. 

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