## Determining economic risk – Black Scholes formula

[08 Feb 2011]

Math got a bad reputation during the Global Financial Crisis, especially when a lot of people were led to believe their investments were low risk. Complex mathematical models were used to pull the wool over many government officials’ eyes as well.

Stock price simulation of small, medium and large cap companies
[image source]

Most mathematics courses include no (or only limited) financial math subjects, which is one reason most people to this day don’t understand why the GFC happened.

In this artticle we find out about one of the best-known financial models. It’s quite interesting because it involves many different areas of mathematics.

### The Remarkabale Story of Risk

I recently read Peter L. Bernstein’s book Against the Gods: The Remarkable Story of Risk. It gives an interesting historical perspective on the development of our understanding of probability and risk (especially economic risk), and the mathematics behind this understanding.

I particularly enjoyed reading the contributions of Cardano, Pascal, Fermat, Graunt, the Bernoullis, De Moivre, Bayes, Laplace, Galton, Keynes, and von Neumann. These names appear throughout mathematics textbooks, but we rarely get such a useful insight into the problems they were trying to solve and the context of their theorems and techniques. (Here is a good summary review of the book: Review of Against the Gods.)

Against the Gods was written in 1996, just before the Asian financial crisis in mid-1997, and a decade before the Global Financial Crisis of 2008. In the light of those 2 events, it is well worth trying to figure out why the calamities happened so they can be averted in future.

So, how do we determine the risk of an investment?

### Black Scholes Model

One of the most influential theories for determining the fair value of a financial instrument is the Black Scholes model. This allows us to decide how much to pay for an option (the right to buy something in the future at a particular price).

Options have been in use for hundreds of years, particularly in the risky field of agriculture. The farmer wants to guarantee a minimum amount he will get paid for his crop and the buyer (maybe a flour milling company) wants to guarantee supply at a reasonable price.

Options have been around since the Dojima Rice Exchange in Japan, which flourished in the 18th century. The samurai warriors and daimyo (feudal lords) were initially paid in rice, not cash. As paper money became more important, samurai were at the mercy of the rice exchange rate. Hence they developed a system of trading options so they could reduce their trading risks.

This topic is quite relevant today, as food price inflation takes hold once again (the last time was in 2007). “Futures” for agricultural products are experiencing high volatility, and buyers and sellers of such futures speculate on future price movements. Some of this is quite unethical, of course, since artificially inflated food prices cause considerable grief, especially for the poorest and most vulnerable.

### How do options work?

Here’s a good simple explanation of how options work: Call options.

A quick summary of that article:

• Chris is an investor and he expects the stock price of ABC company (currently \$45) to go up soon.
• Chris pays for an option to buy this share in the future at \$50 (if the share is worth a lot more at that time, Chris will make a lot of money)
• He pays \$5 per share option for 100 shares, or \$500.
• If the share price goes up to \$60 per share, he is happy, since he can go ahead and actually buy the physical shares for the formerly agreed price of \$50 per share. He makes \$500 on the deal. (He has doubled his money.)

The challenge for both sides is to determine the value of the option. This value will be affected by several things, including:

1. Current interest rates (can I earn more money having it sit in the bank?)
2. The volatility of the stock price
3. Time
4. Drift rate (the rate at which an average changes)

### Black Scholes Model – an overview

Here is a quite extensive overview of the mathematics behind the Black Scholes model. The article demonstrates how the model uses:

1. Interest rates from exponential growth, including continuous compounding
2. Natural logarithms
3. Limits
4. Integration, partial differentiation and differential equations from calculus
5. Standard normal curve from statistics

### Black Scholes Model – an example

Here’s an example of Black Scholes (from RiskGlossary) in action. I’ve made slight changes to make it more readable:

Consider an option on 100 shares of a stock in company ABC. The option is offered at \$55 and expires in 0.34 years. ABC is trading at \$56.25 and has 28% volatility. The continuously compounded risk free interest rate is 2.85%. The option’s market value per share of ABC is \$4.56. Since the call is for 100 shares, its total value is \$456.

So by paying \$456, the investor obtains the right to purchase those 100 shares at \$55. Of course, she hopes the share price of company ABC rises, so she can make a nice profit. If the share price drops, she can just walk away from the deal but she loses her \$456.

### Black Scholes Model – Limitations

One of the issues that led us into the Global Financial Crisis was the blind acceptance of such models by many bankers, investors and governments. The Wikipedia article mentions the following important caveats:

[The Black Scholes Model] is widely employed as a useful approximation, but proper application requires understanding its limitations – blindly following the model exposes the user to unexpected risk.

Among the most significant limitations are:

• The underestimation of extreme moves, yielding tail risk, which can be hedged with out-of-the-money options;
• The assumption of instant, cost-less trading, yielding liquidity risk, which is difficult to hedge;
• The assumption of a stationary process, yielding volatility risk, which can be hedged with volatility hedging;
• The assumption of continuous time and continuous trading, yielding gap risk, which can be hedged with Gamma hedging.

["Hedging" is a legitimate technique for reducing price volatility. Airlines do it all the time with the price of aviation fuel, since they are at the mercy of price rises and currency volatility.]

### Conclusion

The Black Scholes Model is an interesting “real-life” application of many types of math, in one of the most important areas for all of us – financial math.

As any good investment advisor will tell you, don’t put all your eggs in one basket and the markets don’t always go up!

### 2 Comments on “Determining economic risk – Black Scholes formula”

1. vonjd says:

If you want to dig deeper and have questions about these matters there is a new forum which really looks promising: http://quant.stackexchange.com/

(it is kind of a specialized spin-off of http://math.stackexchange.com/ and http://mathoverflow.net/, two other excellent forums)

2. Murray says:

Thanks for sharing, vonjd. They appear to be very useful forums.

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