S 1 S 2. Options and Other Derivatives


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1 Options and Other Derivatives The OnePeriod Model The previous chapter introduced the following two methods: Replicate the option payoffs with known securities, and calculate the price of the replicating portfolio, Use state price vectors to discount the option s cash flows. Rather than using the stateprice vector to discount the cash flows, now we do what s referred in the book to as normalizing the cash flows, and then discount them back using a riskneutral probability. Normalizing the cash flows means dividing the cash flows of one security by the cash flows of another security. The riskneutral probabilities are the probabilities that equate the discounted normalized cash flows of the security to its normalized price. The following are known securities: S : S 2 : When S 2 is normalized, it becomes: S 2 : 00/00 0/05 95/05 Copyright 2006 by Krzysztof Ostaszewski
2 We solve for the riskneutral probability of an up move, q, by discounting the normalized cash flows of S = q ( q 95 ) 05, thus q = 2 3. The system is arbitragefree if and only if riskneutral probabilities (between zero and one) exist. Knowing the riskneutral probabilities allows us to calculate, for example, the price of a call option on S 2 with strike price 04. We note that the option pays 6 in the up scenario and 0 in the down scenario. Its normalized cash flows are: c where c is the call price. We discount its cash flows with interest and the riskneutral probabilities to get its price: c 00 = ( 0) and c = 3.8. Copyright 2006 by Krzysztof Ostaszewski
3 The Multiperiod Model This is the example in the book illustrating the use of arbitragefree pricing in a multiperiod model. Here are the payoffs of two securities in all four possible states, in a twoperiod model: S (, ) S 2 (, ) S 2, ( ) S 2 ( 2, ) We have the following evolution of S : Let us normalize S 2 by dividing its cash flows by those of S at each node: /05 95/00 20/0 00/00 95/95 90/00 We can use the normalized cash flows to determine the riskneutral up probabilities at each node (they need not the same at each node). For the upper node at time (denote this probability by q(,)): 0 05 = q(,) ( q (, )) q(,) = 2 Copyright 2006 by Krzysztof Ostaszewski
4 For the lower node at time, q(,0): = q(,0) For the node at time 0, q(0,0): = q( 0,0)0 05 Copyright 2006 by Krzysztof Ostaszewski + ( q (,0 )) q(,0) = 2 + ( q ( 0,0 )) q( 0,0) = 2 4 We obtain unique solutions, and all of the riskneutral probabilities are between zero and one, indicating that this is an arbitragefree model. Now, we can use the riskneutral probabilities we just found to calculate the ArrowDebreu securities prices. This is useful, because all securities are linear combinations of ArrowDebreu securities, and price is a linear operator. For, we must go up at the first node, and then up again at the second node. So the riskneutral probability of getting to state at time 2, in our riskneutral notation, is: Q( ) = q( 0,0)q(, ) = = 4 The remaining probabilities are: Q( 2 ) = q 0,0 Q 3 ( ) = 2 ( ) ( q) (, ) ( ) = q( 0,0) Q 4 ( )q,0 4 ( ) = 2 2 = = 0 4 ( ) = ( q( 0,0) )( q(, ) = = 0 4 To calculate the prices of the ArrowDebreu securities we use the normalized cash flows and discount utilizing the riskneutral probabilities. For the ArrowDebreu security for state at time 2, its price is denoted by ( 2, ). It will have normalized payoffs: /0 /05 0/00 ( 2, ) 0/95 0/00 0/00
5 Therefore: ( 2, ) = Q( 00 ) 0 2, ( ) = = 0 4. The remaining ArrowDebreu security values are: ( 2, 2) 00 ( ) 2, 3 00 ( ) 2, 4 00 = Q( 2 ) 00 2, 2 = Q( 3 ) 95 2, 3 ( ) = 0 ( ) = 0 = Q( 4 ) 00 2, ( ) = = 0 4, = , = 0 4. Knowing these values we can establish the price of any European option. The book asks us to price the value of a European call option on Asset 2 with a strike price of 00 and expiring at time 2. Such an option will have a payoff of 20 in state at time 2 and zero in all other states. Therefore the price of such an option is 20 ( 2, ) = = = Another example in the book prices a derivative with a payoff equal to S 2 ( 2) for this derivative: ( ) 2. Squaring the time 2 values for S 2, we obtain the following payoffs The price of this derivative is: 4,400 2, = 0, , , , ,00 ( ) +0,000 ( 2, ) + 9,025 ( 2, ) + 8,00 ( 2, ) = Copyright 2006 by Krzysztof Ostaszewski
6 The Binomial Option Pricing Model In this model, in each time period, the asset price either goes up by a factor of u or down by a factor of d. Each time period is h years (if a year is a unit of time, which is common, as interest rates are quoted as annual rates) long, and there are N total time periods (T = Nh). The riskfree force of interest is r. To make this model arbitragefree, we must assume: u > e rh > d. The probability of an up move in the asset price is q = e rh d (this is exactly u d the same formula as q = + i d u d the force of interest and possibly fractional time t). proved previously, except for the use of European Call and Put Options Let m be the minimum number of upward (downward) moves such that the call (put, respectively) option is in the money. Then m is the smallest integer such that m > K ln d N S 0 ( ) ln u d European call/put option prices: c 0 p 0 where ( ) = S( 0)Φ( m;n,q* ) Ke rnh Φ( m;n,q), and ( ) = Ke rnh Φ( m; N,q) ( ) Φ( m;n,q *) Φ( m;n,q) = and q* = que rh. ( ) S 0 N N! q j! ( j q j =m N j)! ( ) N j ( ), Copyright 2006 by Krzysztof Ostaszewski
7 The continuoustime limit of the binomial model is the BlackScholes model. If we select u = e h, then the distribution of stock price changes is lognormal with mean r 2 2 ( /2)T and variance T. As N gets large, under these parameter selections, the binomial model s valuation will approach the BlackScholes and can be taken to be the same for sufficiently large N. Binomial model parameters In practical applications of the binomial model, it is worth noting that a recombining tree dramatically reduces the number of computations required. Also, one has to be careful in practice, as if parameter values are chosen inappropriately, the model will no longer be arbitragefree. Recursive valuation One can work the valuation tree backwards (righttoleft) to establish riskneutral probabilities and values of all securities. In general: Value at current node = ( ) + = (Value in up node Pr up +Value in down node Pr( down)) or ( ) = e rh ( qv ( i +, j +) + ( q)v( i +, j ). V i, j In order to value any security, one uses trading strategies that replicate those securities with those with available prices. We generally work recursively, solving for the replicating portfolio at each node i, j ( ) = e 2 i, j ( )h uv i +, j r i+ ( ) dv( i +, j + ) u d ( ) = V ( i +, J + ) V ( i +, j) ( u d)s ( i, j), a solution of the above, is often referred to as the delta of the derivative; 2 you will see why this is when you get to the section on delta hedging. Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
8 Dividends and other income Remember that the price of a stock is reduced by the amount of the dividend at the moment the dividend is paid. To incorporate the dividend payments into the recursive model, the following formulas are used: For dollar dividends S i, j ( ) ( ) = e rh q( S( i, j +) + D( i, j + ) ) + ( q) ( S( i, j) + D( i, j ) ( ) + D( i, j + ) = S( i, j )u ( ) + D( i, j ) = S( i, j )d S i, j + S i, j Thus, when working recursively, you must add the dividend to the stock price before discounting. For dividends, which are proportions of stock price, S( i, j) = e ( r ) h( qs( i, j)u + ( q)s( i, j)d ), where: e h = + ( h), h ( ) = D( i, j) S( i, j), u = u +, d = d +, q = e rh d. This is intuitively similar to assuming that the stock price u d grows at a rate of r. Note that the stock price tree will not recombine when a dividend is paid as a constant dollar amount; it will, however, it will recombine when the dividend is a constant proportion of the stock value. Putcall parity for dividendpaying assets We already know that for nondividend paying stocks c( 0) p( 0) = S( 0)e t Ke rt The modifications to BlackScholes model in order to accommodate a dividendpaying stock are exactly the same as the modifications to the putcall parity. Exotic derivatives These are derivatives that go beyond the standard European put and call. Many exotic options are path dependent and therefore difficult to value with a binomial method, especially if they are American. Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
9 Main types of exotic derivatives:  Digital (a.k.a. Binary) Option Its payoff depends on whether the underlying asset value is above or below a fixed amount on the expiration date. Cashornothing call (put) options pay a fixed amount, X, if the underlying asset value is above (below, respectively) the exercise price K, and nothing otherwise. Allornothing call (put) options pay the asset value if the terminal asset price is above (below) the exercise price at expiration, and nothing otherwise. Onetouch allornothing options pay off if the underlying asset goes above (call) or below (put) the exercise price during the life of the option.  Gap option Payoff depends on whether the underlying asset value on the expiration date is above or below a fixed amount that is different from that used for the payoff. The payoff for a call option is S(T) K if S(T) > H or zero otherwise.  Asian option Payoff depends on the average price of the underlying asset during the life of the option. Commonly used in equityindexed products (e.g., equitylinked annuities), foreign currency options, and interest rate options for hedging purposes.asian options pay the difference between the average price and the exercise price provided this is a positive quantity. The exercise price can be fixed such that the payoffs are: Average price call: ( S AVG X) + Average price put: ( X S AVG ) + The exercise price can also be the average (called floating strike options ): Average strike call: S T Average strike put: S AVG ( ( ) S AVG ) + ( S( T) ) +  Lookback option For such an option, payoff depends on the underlying asset price at expiration and also the minimum or maximum asset value attained during the life of the option. Therefore, a lookback call pays S T ( ( ) S min ) +, and a ( ( )) +. These options are path dependent, and lookback put pays S max S T thus quite difficult to price binomially. A variation is a highwater mark call Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
10 option, which pays ( S max K) +. Such an option is commonly found in equityindexed annuities.  Barrier options For such an option, its payoff depends on whether or not the value of the underlying asset reaches a certain price level (a barrier) before expiration. Knockout options become worthless or pay a fixed rebate if the asset value reaches a barrier but otherwise have payoffs identical to a standard option.  Downandout options become worthless or pay a fixed amount if the asset value falls below a barrier.  Downandin options only come into existence if the asset price falls below a barrier.  Upandout options become worthless or pay a fixed acount if the asset value reaches a barrier.  Upandin options only come into existence if the asset price reaches a barrier.  Double knockout options become worthless or pay a fixed amount if the asset price reaches either of the lower or upper barrier.  A standard call option is the sum of a downandout call option and a downandin call option with the same exercise price and barrier. Options on the minimum or maximum (a.k.a. rainbow options)  Their payoffs depend on the values of several assets.  Options pay the maximum or minimum of the several assets.  A European option on the maximum of two assets is equivalent to holding one of the assets plus a European option to exchange this asset for the other one. Cliquets A cliquet option is a series of standard call options that pay the annual increase in the underlying asset. Quantos Short for quantity adjusted option. Guaranteed exchangerate contracts in which the payoff on a foreign currency derivative is converted to the domestic currency at a fixed exchange rate. Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
11 Other exotics  Compound options = options on other options.  Chooser options are options, which permit the choice between buying a call or put option so that the option holder can select the option they require at expiration depending on which is more valuable.  Spread options = payoffs reflect the difference between the values of two assets. American options Permit the holder to exercise at any time. This early exercise privilege allows us to establish some bounds for the price of an American option. Consider a call option. We have S( t) C( t) ( S( t) K) +. If the option cost were greater than the asset price, then you could sell the option, buy the asset, and keep the difference, using the asset to fulfill the obligation on the option you sold. If the option cost were less than the intrinsic value, then you could buy the option and immediately exercise it for the intrinsic value, making a riskless profit. In fact, the call price will be strictly greater than the intrinsic value at all times, except possibly maturity or just immediately prior to a dividend payment. Thus a rational investor will not exercise an American call option between dividend payment dates, since such an option can always be sold for more money than could be obtained by exercising it. Therefore if there are no dividend payments then the price of an American call option on a single asset is equal to the price of a European call option on the same asset. It is rational to exercise an American option when the intrinsic value immediately prior to the dividend payment is greater than the value of the option after the dividend payment; so exercise when S( t) > S* ( t ), where S *( t ) K = D( t *) (the underlying price at which the intrinsic value of the option immediately prior to the dividend payment is equal to the option value immediately after the dividend payment). For American put options, there is always a critical asset price below which it is optimal to exercise the American put option early. Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
12 Numerical Valuation of American options using the Binomial Method For an American put option, the value at each node is P = Max( K S,e ( rh q( K Su) + + ( q) ( K Sd) + ) This means that you should calculate the value recursively from righttoleft, but replace the option value at any node with the intrinsic value at that node if the intrinsic value at that node is greater than the recursive value calculated. Note the three possibilities for the put option at each node that affect the decision to exercise early:  If the underlying price in both up and down states is less than the strike price of the put option (i.e., the put is in the money in both scenarios) then it is optimal to exercise early.  If the underlying price in both up and down states is greater than the strike price of the put option (i.e., the put is out of the money in both scenarios) then it is not optimal to exercise early.  If the option is in the money in the down state but not in the up state, then you have to compute the critical price, S*; this is the price at which the investor is indifferent between exercising early and retaining the option. It can be found by solving the equation: K S* = e rh ( q 0 + ( q) ( K S *d)), i.e., the current intrinsic value has to equal the current value if unexercised. This solves to: S* = K e rh ( q). The investor should exercise the option if e rh ( q)d the actual asset price, S, is below the critical price, S*. The procedure for an American call option is similar, except the comparison between the option s value and it s intrinsic value for the purposes of substituting the greater of the two is made only at nodes at which a dividend is paid. Numerical Methods They have become very important in finance. Reasons for that are:  Security models have become more complex,  Types of securities and derivatives are also complex,  New developments in risk management technology, and  Regulation and practice mandate more analysis (e.g., VaR). Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
13 Some comments on numerical methods:  Even closed form or analytic solutions still require numerical techniques,  Prices of some derivatives are governed by partial differential equations, which require numerical techniques to solve,  Lattice methods are numerical in nature,  Monte Carlo, i.e., simulation, is numerical in nature. Lattice models  Lattice models approximate the distribution of the underlying with a discrete one,  Trinomial models have been shown to be more stable and more accurate with half as many time intervals as a standard binomial lattice. But they require more calculation. The trinomial model can be described as follows: Up movement by a factor u with probability q u Middle movement by a factor m with probability q u q d Down movement by a factor d with probability q d The probabilities are computed by equating the first three moments of the lognormal distribution: q u u + ( q u q d )m + q d d = e rh q u u 2 + ( q u q d )m 2 + q d d 2 = e 2rh+ 2 h q u u 3 + ( q u q d )m 3 + q d d 3 = e 3rh+ 3 2 h h Here the parameters are u = e,m =, d = and is chosen to make u the model arbitragefree. This produces a recombining tree. Monte Carlo simulation Steps:  Generate N values from the distribution of the ending asset value,  Compute the option value for each underlying value,  Discount this value at the riskfree rate,  Compute the average option value for the sample. As N gets large, the answer will converge to the true value. Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
14 Variance reduction techniques They reduce the standard error more efficiently than running thousands of simulations:  Antithetic variable technique: Average a pair of unbiased estimators to produce a new unbiased estimator whose variance is less than either of the individual estimators assuming that the two individual estimators are negatively correlated.  Control variate method: Replace the problem under consideration with a similar but simpler problem that has an analytic solution. The two must be highly correlated.  Stratified sampling: Break the sampling region into pieces (called strata), then sample from the strata. You may also sample from only significant strata: For example, if pricing an option, which is deeply out of the money, don t simulate asset prices that will only result in a zero value for the option.  Lowdiscrepancy methods: Use deterministic points that are as uniformly distributed as possible rather than random simulations.  Path dependency: One can combine simulated paths into bundles to approximate the value of Americanstyle derivatives. Hedging Dealers who write derivative contracts must manage the risk. To manage the risk, one generally uses hedging, i.e., assuming positions that balance the risk by offsetting it. The risk is measured with various sensitivity statistics. They can be estimated by the use of a binomial model:  Delta is the sensitivity of an option s price to changes in the price of the underlying: ( ) = V( i +, j + ) V ( i +,j) ( u d)s( i, j) i, j The hedge of the derivative uses the number of units of the underlying asset in the replicating portfolio equal to the delta. If a portfolio of assets is constructed so that the overall portfolio has a delta of zero, then the portfolio is said to be delta neutral. In the BlackScholes model of a call option, Delta = N( d ). Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
15  Gamma is the sensitivity of delta to changes in the price of the underlying asset Γ = ( i +, j + ) ( i +, j ) ( u d )S i, j ( ) ( ) In the BlackScholes model for a call option, Γ = Φ d S 0 T.  Theta is the sensitivity of the value of a derivative with respect to time, timedecay measure: Θ = V( i + 2, j + ) V( i, j) 2h  Rho is the sensitivity of the value of the derivative to interest rates.  Vega is the sensitivity of the value of the derivative to volatility of the underlying. The sensitivities can be estimated using simulation. The hedge portfolio s sensitivities will change over time, and one must rebalance the hedge repeatedly. There is a tradeoff between the safety of frequently rebalancing the hedge portfolio and the transaction costs required to do so. Pathdependent derivatives present the biggest challenges in hedging, since the hedging requirement can often change dramatically, especially when the option is nearing expiration and the option is close to the money or some other meaningful boundary (such as the barrier in a knockout option). A static hedge is one that is established on the initial date and not rebalanced; it is constructed in an attempt to replicate the pathdependent option s payoffs at critical price levels (such as near the boundary). Economic roles of derivatives:  Provide efficient method to achieve payoffs that are not readily available otherwise,  Pathdependent options can hedge stochastic volatility,  Can help manage tax and regulatory considerations,  Lower transaction costs than purchasing replicating securities individually. Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
16 Insurance products Life insurance products contain a variety of guarantees, including maturity guarantees and return of premium guarantees upon death or withdrawal, of which minimum interest rate guarantees are most significant. These embedded options are quite a challenge to price. They require input regarding the possible values of the asset portfolio backing the products, and regarding the behavior of the policyholders. Equityindexed products are also common in some insurance companies (equitylinked annuities are a new product since 995). Pension Plans Embedded option: participant is entitled to the maximum of two alternative benefit amounts (such as a defined benefit formula or the accumulated value of a set of contributions). A trinomial valuation of this benefit based on two variables (salary growth rate and implicit crediting rate) found that the standard deterministic valuation typically employed by actuaries may undervalue this option as much as 35%. Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
17 Exercise. A European derivative pays the excess of the underlying asset price over $23, plus a dollar (the dollar is paid even if the excess is zero), in two months time. The current price of the underlying is $22, and the volatility of the underlying asset s continuously compounded rate of return is 0% per year. The continuously compounded risk free interest rate in the riskneutral world is 0.25% per month. Us a twoperiod binomial model to estimate the price of this European derivative. Solution. The basic formulae for the binomial model are (for each onemonth period): u = e h = e 0.0 d = u = = q = e rh d u d = e = e rh = e = Using these parameters for the underlying we get this model: $ = $22.64 $22 $22 $ = $2.37 $ = $23.3 $ = $20.76 The payoffs of the derivative are (note that = ): Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
18 $.3 $ $ ( ) = $.698 $.08 $.00 $ $ ( ) = $ $.00 The price of this derivative is $.08 = $ $ ( ). Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
19 Exercise 2. You are given the following binomial model for the value of the shortterm interest rate, riskfree over a oneyear period: One year from now this shortterm interest rate is either: r u = r 0 + γ ( ) with probability 0.50, or r d = r 0 with probability 0.50, + γ where r 0 in the initial shortterm rate, and γ is a parameter. The probabilities given are riskneutral probabilities. Annualized volatility of this shortterm interest rate is σ = 25%. The current value of the shortterm rate is 4%. A 2year European (meaning that it pays only if the shortrate breaches the floor at the end of two years) interest rate floor with a 3.5% strike level and a notional amount of 00 is issued. This derivative security will pay the difference between 3.5% and then current shortterm interest rate as calculated for the 00 notional amount, if such difference is positive. Calculate the value of this interest rate floor. Solution. Recall that in the binomial model u = e σ t and d = e σ t. When t =, this becomes u = e σ and d = e σ. In terms of the notation of this problem, you can conclude that: u r d r = e2σ = ( + γ ) 2. We are given σ = 25%. This means that + γ = e σ = Given this, the shortterm rate will be in two years: ( ) 2 = % with probability 0.25, 4% % with probability 0.50, and ( ) 2 = % with probability % Only the third outcome produces positive cash flows from the floor, which is then worth 00 ( 3.50% % ) = % = This cash flow is paid with probability 0.25, and its expected present value is the price of the floor. We use the riskfree rate over the next year as the rate for discounting for that year. Therefore the value of the floor is:
20 Exercise 3. Now assume in the previous problem that the floor only pays the difference between 3.5% and the current shortterm rate at the end of the first year, if such difference is positive. What is the value of such oneyear floor? Solution. At the end of the first year, the short rate is 4% e % with probability 0.50, and 4% e % with probability Only the second outcome gives rise to a payment by the floor, with such payment being on the 00 notional amount. Its expected present value is If the floor were a twoyear floor inclusive of both years, its total value would be =
21 Exercise 4. You are given the following securities: 60day Treasury Bill with face amount day Treasury Bill with face amount 000 and current price 975. Stock of ABCZ Corporation with current price of European call option on the ABCZ stock, with current price of, time to exercise of 60 days exactly, strike price of 30, for which the d parameter in the BlackScholes equation equals The price of this option is equal exactly to the price given by the BlackScholes equation. European put option on the ABCZ stock, with time to exercise of 60 days, and strike price of 30. The price of this option is equal exactly to the price given by the BlackScholes equation. You can assume that putcall parity holds perfectly. Futures contract on a 90day Treasury Bill, time to delivery of 60 days, face amount of 000, and current price of 984. You can assume that the fundamental relation between futures and the underlying holds. You are also given the cumulative normal distribution values z N(z) Calculate the current market price of the put option. Solution. The fundamental relation between futures and underlying is: F = Se r T t ( ). Here, the 90day Treasury Bill futures go for 984, and the underlying, which is the 50day Treasury Bill, in 60 days deliverable as a 90day Bill, goes for 975. Therefore, the continuouslycompounded riskfree rate, assuming, for simplicity, 360 days in a year, must satisfy: 984 = 975e r,e r = = This means that to discount anything by 60 days, you multiply by 325/328, and to accumulate over 60 days, you multiply by 328/325. From putcall parity, we get: P = , P = = = = = Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
22 While the $30 call sells for $, $30 put sells for $ This should not be in any way a surprise, the put has $5 intrinsic value. Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
23 Exercise 5. Using the same data as in problem No. 3, find the annualized volatility (standard deviation) of the rate of return of ABCZ stock. You may assume that year has 360 days, and the price of the call is determined by the Black Scholes equation exactly, except that S, the price of the stock, is replaced by the difference S PV(Dividends paid on the stock during the life of the option). Solution. We have d = S ln + PV( X) 2 t Therefore: 2 t = ln = = 0 = ± ( ) ( ) = , or = (can' t be). Therefore, = %. Don t think this answer is unreasonable, as you have a call option deeply out of the money, and the said call still has significant value, $. This can only happen if there is a reasonable chance of stock exceeding $30 in price within sixty days, and for that to happen, the stock must move up by roughly 24% within /6 of a year. Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
24 Exercise 6. Using the same data as in the previous problem, demonstrate that a oneperiod market consisting of the 60day Tbill, the put option, and the stock is arbitrage free over one period. You are additionally given that the period is 60 days, and the stock price at the end of 60 days will be either 2, or 30, or 36. Solution. $ invested in the Treasury Bill will end up being $ 328 no matter what 325 happens. $ invested in stock of ABCZ ends up being $2, $30, or $36. $ invested in the put ends up being $9, $0, or $0, as the exercise price is $30. The market matrices are: S( 0)= [ ],S( ) = S() is an invertible matrix with determinant For the market to be arbitragefree, all you need is a stateprice vector [ 2 3 ] T, i.e., solution to the system of equations: = = = Because S() is invertible, not only does a solution exist, it is unique, so that this market is complete as well, as long as the solution is positive. It is pretty obvious that = = , and we get a new, simpler system of equations by putting that value in the first two equations = = Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
25 or = = = , = The market is arbitragefree. 2 3 Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
26 Exercise 7. Determine whether the market described in the previous problem is complete, and find its riskneutral probabilities, if it is arbitragefree. Solution. The market is complete because it is arbitragefree and the matrix S() is invertible. Because we already solved for the stateprice vector, the second part is almost a freebie. = , 2 = , 3 = and therefore p = ( + i) = = p 2 = 2 ( + i) = = p 3 = 3 + i ( ) = = Spring 2003 Notes for SoA Course 6 exam, Copyright 2003 by Krzysztof Ostaszewski
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