10 Binomial Trees Onestep model. 1. Model structure. ECG590I Asset Pricing. Lecture 10: Binomial Trees 1


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1 ECG590I Asset Pricing. Lecture 10: Binomial Trees 1 10 Binomial Trees 10.1 Onestep model 1. Model structure
2 ECG590I Asset Pricing. Lecture 10: Binomial Trees 2 There is only one time interval (t 0, t 1 ) There are only two possible outcomes for S High, with probability p Low, with probability 1 p In the diagram above, Low is shown below Initial and High is above Initial, implying that one of the outcome is an increase in value and the other is a decrease. In general however, both outcomes could be increases or decreases. We study the general model later.
3 ECG590I Asset Pricing. Lecture 10: Binomial Trees 3 2. Pricing a call option: numerical example (a) Setup The riskfree rate is r = 0.25 The call option s strike price is K = 45.
4 ECG590I Asset Pricing. Lecture 10: Binomial Trees 4 (b) Notice that S 0 does not equal the discounted expected value of S 1 : S 0 = 32 1 < 1 + r E[S 1] 1 = [p 60 + (1 p) 30] = 4 [ ] 2 30 = 36 Presumably, this fact reflects risk aversion.
5 ECG590I Asset Pricing. Lecture 10: Binomial Trees 5 (c) Pricing the call: riskless portfolio method Consider the following portfolio: long shares of stock Short one call Find the value of that makes the portfolio riskless If the stock rises to 60, the portfolio is worth If the stock fall to 30, the portfolio is worth 30. To be riskless, the portfolio must give the same value for either outcome: = 30 = 1/2 Value of this riskless portfolio at t 1 : 15
6 ECG590I Asset Pricing. Lecture 10: Binomial Trees 6 In the absence of arbitrage, riskless portfolio must earn the riskfree rate of interest. The value of this portfolio at t 0 is then r 15 = = 12 = S 0 C 0 But S 0 = 32 and = 1/2. This means that 12 = C 0 C 0 = 4
7 ECG590I Asset Pricing. Lecture 10: Binomial Trees 7 (d) Pricing the call: riskneutral valuation method We know that All we need is p C 0 = = r E [C 1 ] r [p C 1,high + (1 p )C 1,low ] = 4 5 [p 15 + (1 p ) 0] = 12p
8 ECG590I Asset Pricing. Lecture 10: Binomial Trees 8 We get p form the expression for the value of the stock: S 0 = r E [S 1 ] 32 = 4 5 [p 60 + (1 p )30] = 4 5 [30 p + 30] p = 1 3 Note that p p = 1/2.
9 ECG590I Asset Pricing. Lecture 10: Binomial Trees 9 Therefore, C 0 = 12 1/3 = 4. The advantage to the riskneutral approach is that we can use it to price any derivative once we have computed p.
10 ECG590I Asset Pricing. Lecture 10: Binomial Trees Pricing a put option Suppose we have a put option on the same stock with the same strike price K = 45. We have Therefore, P 1 = max[k S 1, 0] = max[45 S 1 ] P 1,high = max[45 60, 0] = 0 P 1,low = max[45 30, 0] = 15
11 ECG590I Asset Pricing. Lecture 10: Binomial Trees 11 The value of the put at t 0 is then P 0 = 4 [ ] 3 15 = 4 5 [10] = 8
12 ECG590I Asset Pricing. Lecture 10: Binomial Trees Relation between the two pricing methods Consider the binomial tree model for the call option where d < u but otherwise are unrestricted
13 ECG590I Asset Pricing. Lecture 10: Binomial Trees 13 Riskless portfolio approach If S 0 rises to S 0 (1 + u), the portfolio at time t is worth S 0 (1 + u) C u 1 If S 0 falls to S 0 (1 + d), the value is S 0 (1 + d) C d 1. Equating these two gives S 0 (1 + d) C u 1 = S 0 (1 + d) C d 1 = Cu 1 C d 1 S 0 (u d)
14 ECG590I Asset Pricing. Lecture 10: Binomial Trees 14 The value of the portfolio in t 1 is S 0 (1 + u) C u 1 (or S 0 (1 + d) C d 1) Since the portfolio is riskless, its value at t 0 is r [S 0(1 + u) C u 1 ] Which must equal our other expression for the t 0 value: S 0 C 0. That is, 1 S 0 C 0 = 1 + r [S 0(1 + u) C1] u C 0 = S r [S 0(1 + u) C1 u ] Substitute for ( ) C u C 0 = S 1 C1 d 0 S 0 (u d) = r r [ r d u d Cu 1 r u u d Cd 1 [ S 0 (1 + u) ] ( ) C u 1 C1 d S 0 (u d) C u 1 ]
15 ECG590I Asset Pricing. Lecture 10: Binomial Trees 15 Obtaining the riskneutral probabilities C 0 = [ 1 r d 1 + r u d Cu 1 r u + d d C1 d u d = ( 1 u C1 + 1 r d ) C1 d 1 + r u d r d } u {{ d } p ]
16 ECG590I Asset Pricing. Lecture 10: Binomial Trees Irrelevance of true probabilities and expectations The asset pricing formulas do not use p or anything dependent on it, such as E[S 1 ]. In the real world, p interacts with the risk averse characteristics of the utility function to determine values. The asset pricing formulas avoid the complication of utility function curvature (which is probably different for each person) by transforming the problem to one of risk neutrality of a representative agent.
17 ECG590I Asset Pricing. Lecture 10: Binomial Trees Multistep models 1. Twostep model
18 ECG590I Asset Pricing. Lecture 10: Binomial Trees 18 Start with period 2 and use the preceding methods to determine S 1. For example, (1 + u)s 0 = r [ p (1 + u) 2 S 0 + (1 p )(1 + d)(1 + u)s 0 ] Calculate p (which way change at each step) Then use these values for period 1 to work back to S 0. Use p to calculate the price of any derivative. 2. Multistep model Obvious generalization
19 ECG590I Asset Pricing. Lecture 10: Binomial Trees American options Follow the same procedure, except that at each node we compare the value obtained from the preceding method with the payment at that node from early exercise. The greater of those two number is the value at that node.
20 ECG590I Asset Pricing. Lecture 10: Binomial Trees Delta The delta of a stock option is the ratio of the difference between the two option values at the end of the period to the difference between the two stock values at the same time: = Cu 1 C d 1 S 0 u S 0 d = Cu 1 C d 1 S 0 (u d) This is the same we used earlier to create a riskless portfolio.
21 ECG590I Asset Pricing. Lecture 10: Binomial Trees 21 Picking to create a riskless portfolio is called delta hedging. In multiperiod models, delta generally changes over time continuous portfolio rebalancing.
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