# Two-State Options. John Norstad. January 12, 1999 Updated: November 3, 2011.

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1 Two-State Options John Norstad January 12, 1999 Updated: November 3, 2011 Abstract How options are priced when the underlying asset has only two possible future states. Studying these trivial options helps develop insight into how real options and the Black-Scholes equation work. We learn about arbitrage, the law of one price, hedging, risk-aversion, and risk-neutral valuation.

2 CONTENTS 1 Contents 1 Two-State Options 2 2 The Algebra of Two-State Call Options 9 3 Risk-Neutral Valuation 11 List of Figures 1 Example

3 1 TWO-STATE OPTIONS 2 1 Two-State Options This note explores some very simple examples of two-state options, where the underlying asset has only two possible future prices. Our analysis goes into considerable detail and illustrates several important aspects and properties of option pricing. A call option is a contract which grants the purchaser of the contract the right, but not the obligation, to purchase a specific item called the underlying asset from the seller of the contract at a specific date in the future called the expiration date at a specific price called the strike price. If the future price of the asset on the open market on the expiration date is greater than the strike price, we say that the call option expires in the money. In this case, the buyer exercises the option, buys the asset from the seller at the strike price, sells the asset on the open market at the future price, and makes a profit on the difference. If the future price of the asset on the open market on the expiration date is less than the strike price, we say that the option expires out of the money. In this case, the option is worthless, and the buyer loses his entire initial investment in the option. Our definitions above are for European options, which can only be exercised on the expiration date. American options can be exercised on or at any time before the expiration date. The math for European options is simpler, so we use them here. As an example which we ll use throughout this note, suppose an asset has a current price of s = \$100. There are two possible future prices: s1 = \$120 with probability p1 = 3/4 and s2 = \$80 with probability p2 = 1/4. Consider a call option on this asset with a strike price of x = \$100. Figure 1: Example

6 1 TWO-STATE OPTIONS 5 the important assumption that the market for the underling asset is liquid, which means that we can easily buy and sell shares of the asset at any time at a well-defined current market price. In the real world different kinds of assets have widely different liquidity. These kinds of pesky impediments to investing are often called friction. Our ideal world is frictionless. The real world has friction. To adjust our example for friction, we should say that the option s price must be exactly \$10 or close to \$10 in order for there to be any significant market in the option at all. Making this notion of close to more precise by dealing formally with all the pesky frictions is a very difficult problem which we are ignoring completely. Now let s return to our arbitrage argument and look at it from another point of view. Consider once again the strategy we used of first borrowing \$40 and buying 1/2 share of the asset, then later selling the 1/2 share and repaying the loan. This combination of borrowing and buying a fraction of a share is called a synthetic call option. In our arbitrage argument, we constructed our synthetic call option so that it would have exactly the same payoffs in both possible outcomes as does the real call option (\$20 in one case, \$0 in the other). The law of one price states that in any situation in which two different investments have exactly the same payoffs in all possible future states of the world, the investments must have the same price. The synthetic call option has a price of (1/2) \$100 \$40 = \$10. Thus the corresponding real option must also have a price of \$10. Thus using the law of one price gives us another shorter proof that the proper price for our option is \$10. Let s examine our example further to explore in a bit more detail these notions of hedging, arbitrage and the law of one price. In our scheme, we borrow money and buy a fraction of a share of the underlying asset to offset the loss we might experience as a seller of the option. As a seller of the option, we lose if the price rises, and we gain if the price falls. As a buyer of the underlying asset, we gain if the price rises, and we lose if the price falls. The two investments perfectly offset or hedge each other. Borrowing money to help buy the fraction of a share is called leverage. In our example, we buy 1/2 share for \$50 and we borrow \$40. Thus 4/5 of the purchase price is borrowed. We say that our purchase is 80% leveraged. What we ve shown with our synthetic call is that in this particular example an 80% leveraged purchase of 1/2 share of the underlying asset is equivalent to one call option on the asset with a strike price of \$100. When we say equivalent we mean that the two investments have exactly the same payoffs in all possible future states of the world. In our example, the price of the synthetic call is \$10, and the corresponding real

7 1 TWO-STATE OPTIONS 6 option is priced at \$15. Our arbitrage scheme boils down to simply selling the overpriced investment (the real option) and buying the underpriced investment (the synthetic call). Because the two investments hedge each other perfectly, we run no risk, and we pocket the difference in the prices, which is our \$5 profit. This is the essence of arbitrage. Whenever we find a situation where the law of one price is violated and two equivalent investments are selling at different prices, we exploit the situation by selling the higher priced investment and buying the lower priced one. The difference in the prices is our profit. Because the investments are equivalent, and because we bought one of them and sold the other one, they hedge each other perfectly, and we make our profit with no risk. Significant arbitrage opportunities are difficult to find in the real financial world. The natural forces of the marketplace tend to eliminate them quickly when they do appear. For example, suppose investments A and B are equivalent and A is currently available on the market at a lower price than B. Arbitrageurs very quickly notice the opportunity and rush to buy A and sell B. This drives up the price of A and drives down the price of B until equilibrium is restored and the arbitrage opportunity disappears. In today s very efficient financial markets, this process happens very quickly, often in only minutes. There is no regulatory body that sets option prices to their proper price. This is done by the natural forces of buyers and sellers in the marketplace. The law of one price governs the marketplace. Arbitrageurs enforce the law. Punishment for breaking the law is losing tons of money. We now change the topic and return to our example to explore the role of the probabilities of the possible outcomes. This is an important issue which we haven t covered yet. Our arbitrage argument using our synthetic call has the interesting and important property that it is independent of the probabilities of the possible outcomes. The synthetic call constructed via a leveraged purchase of the underlying asset perfectly replicates the call option no matter what the probabilities of the outcomes are. Thus the price of the option in this universe with only two possible future states is independent of the probabilities of those two states. Stated another way, in this simple universe, the price of the option is independent of the expected rate of return of the underlying asset. This seems strange at first glance, but it s true. The price does, however, depend on the volatility of the underlying asset. For example, if our two possible ending prices are \$140 and \$80 instead of \$120 and \$80, the price of the call option is \$13.33 instead of \$10. In this case, the replicating synthetic call is constructed by borrowing \$53.33 and buying 2/3 shares of the asset for \$ See section 2 below for details on how to calculate these values.

9 1 TWO-STATE OPTIONS 8 do, however, determine who buys the options and who sells them. 1 What if the probabilities are so overwhelmingly in favor of the higher future price possible outcome that everyone in their right mind considers the proper price for the option to be very attractive? On the face of it, one might think that this would tend to drive up the option price to balance buyers and sellers, and that our argument must be wrong, because the proper price as set in the marketplace for the option really does depend on the probabilities. This is why option pricing in general and the Black-Scholes equation in particular are so counter-intuitive. Once again, we use our example to explore this further. Suppose, for example, that nearly all knowledgeable analysts agree that the probability of the \$120 ending price is 99/100, and the probability of the \$80 ending price is 1/100. Our option as priced at \$10 is extremely attractive in this case, because we have a 99% probability of ending up in the money and making a profit of \$10. We have only a 1% chance of losing our \$10 investment in the option. Nearly everyone should want to buy this option because it s such a good deal. Shouldn t this drive the price up? This is indeed a problem. To get to the bottom of it, let s ignore the option for a moment and instead focus on the underlying asset itself, which is currently priced at \$100. In our scenario, the consensus opinion is that there s a 99% chance that the asset s price will increase to \$120, and only a 1% chance that the asset s price will fall to \$80. This makes the asset itself a very attractive investment, for exactly the same reason that the option on the asset is attractive. Many more investors will want to buy the asset than will want to sell it at its current price of \$100. This will drive the asset s price up. Note that as the asset price rises, so does the price of the call option on the asset (see the equations in section 2). Eventually equilibrium is reached, where both the asset price and the option price reflect the consensus opinion of investors concerning the future prospects of the asset. This resolves the conundrum. Yes, consensus probability beliefs do indeed affect option prices, but only indirectly through the price of the underlying asset. Stated another way, option pricing formulas for markets in equilibrium are independent of the expected return on the underlying asset because this information is already contained in the price of the underlying asset. 1 There are other important reasons for buying and selling options. For example, I might sell you the option in our example because there is some other idiosyncratic characteristic of my financial life that exposes me to the risks of the underlying asset. My selling the option to you in this case is a way for me to hedge that other risk I face, but that you do not face. By exchanging risks in this way, we both benefit from the transaction. This kind of risk exchange is in fact the primary use of options in the financial world, primarily by large financial institutions like banks.

10 2 THE ALGEBRA OF TWO-STATE CALL OPTIONS 9 2 The Algebra of Two-State Call Options Note: In our example we made the simplifying assumption that the interest rate for borrowing money is 0%. We did this to make the arithmetic easier for the sake of exposition. In this section we include interest as a factor. Also, in our example, the strike price happened to be the same as the current asset price. This is also a non-critical assumption which we do not make in this section. Let: s = current asset price c = call option price s 1 = larger of the two possible future asset prices s 2 = smaller of the two possible future asset prices c 1 = call option value if future asset price is s 1 c 2 = call option value if future asset price is s 2 r = current yearly continuously compounded risk-free interest rate t = time in years between the option sale and the option expiration a = hedge ratio for synthetic call b = amount borrowed for synthetic call In the synthetic call, we buy a shares of the asset and borrow b dollars. The price of this combination is as b. If the future asset price is s 1, the payoff is as 1 be rt. If the future asset price is s 2, the payoff is as 2 be rt. In the real call option, if the future asset price is s 1, the payoff is c 1. If the future asset price is s 2, the payoff is c 2. We want the synthetic call to replicate the real call. To accomplish this, we set the payoffs in each state equal: as 1 be rt = c 1 as 2 be rt = c 2 Solving these equations for a and b gives: a = c 1 c 2 b = (as 2 c 2 )e rt By the law of one price, the price of the real call option c must be the same as the price of the synthetic call: c = as b

11 2 THE ALGEBRA OF TWO-STATE CALL OPTIONS 10 In our example, we have s = 100, s 1 = 120, s 2 = 80, c 1 = 20, c 2 = 0, r = 0. Plugging in these values gives: a = b = = 1 (hedge ratio) 2 ( ) e 0 t = 40 (amount borrowed) c = = 10 (option price) 2

12 3 RISK-NEUTRAL VALUATION 11 3 Risk-Neutral Valuation In section 1 we briefly discussed how investors are risk-averse, and this is why the value of an asset is less than its expected value. We can, however, imagine an alternate universe in which investors are riskneutral instead of risk-averse. In this universe, investors don t care about risk, they don t demand risk premia, and the value of an asset is simply its expected value. More properly speaking, because of the time value of money, in this universe an asset s value would be its future expected value discounted to present value using the risk-free interest rate. To make things simpler, in this section we re going to pretend once again that our universe doesn t charge interest. As we did in section 2, the reader is invited to rework the equations in this section to accommodate interest. If you do this, you will find that the main result of this section still holds. How would our trivial two-state options be priced in this universe? The arbitrage argument we used in our universe still works in the alternate risk-neutral universe, so the equations in section 2 apply. Let s see what happens. In the risk-neutral universe, the value of the underlying asset is its expected value: s = p 1 s 1 + p 2 s 2 where p 2 = 1 p 1 Apply the equations we derived in section 2 for the value of the call option: c = as b = c 1 c 2 s ( ) c1 c 2 s 2 c 2 = c 1 c 2 [p 1 s 1 + (1 p 1 )s 2 ] c 1 c 2 s 2 + c 2 = c 1 c 2 p 1 s 1 + c 1 c 2 s 2 c 1 c 2 p 1 s 2 c 1 c 2 s 2 + c 2 = c 1 c 2 p1( ) + c 2 = (c 1 c 2 )p 1 + c 2 = p 1 c 1 + (1 p 1 )c 2 = p 1 c 1 + p 2 c 2 Thus, in the risk-neutral universe, the value of the call option is also its expected value. We can work out these same equations backwards. That is, if we start by assuming that the value of the call option is its expected value, we can derive our equations in section 2.

13 3 RISK-NEUTRAL VALUATION 12 This is an interesting result. In a risk-neutral universe, assets are priced quite differently than they are in our own risk-averse universe. In particular, in the situation we are studying, both the underlying two-state asset and the two-state call option on the asset are priced quite differently in the two universes. What we ve seen, however, is that the equation in section 2 which tells us how to compute the value of the option as a function of the value of the asset is exactly the same in the two universes! This is called the principle of risk-neutral valuation. It turns out that this principle is also valid for real-life options where the underlying asset can have an infinite number of possible ending values. We examine this in detail in reference [1].

14 REFERENCES 13 References [1] John Norstad. Black-scholes the easy way. Feb 1999.

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