Financial Derivatives FI6051 Finbarr Murphy Dept. Accounting & Finance University of Limerick Autumn 2009
Week 7 – Relative Value Trading
Arbitrage & Risk Neutral Valuation
Option Pricing Theory allows us to compute the Fair Value† of an asset.
This lecture examines how we can expolit differences between the fair value and the market price to generate a riskless profit †
Definition : Fair Value is the theoretically correct relative value of the call option such that options traders cannot generate a riskless profit by selling (if “overpriced”) or buying (if “underpriced”) the Call and then “covering” their risk exposures by trading the underlying asset (augmented by borrowing / lending).
Arbitrage & Risk Neutral Valuation
Lecture Objectives
We will identify and exploit arbitrage opportunities
We will cover the theoritical basis of risk-neutral valuation
Both of these methods are used to correctly price derivative securities, where the market price differs from the fair-value price, a potential arbitrage opportunity exists
Arbitrage
Firstly some preliminary comment on the Principles Behind Riskless Portfolio construction Cτ Cτ S-X Ct
• ∆ Ct ∆ St St
∆≈
Sτ
∂Ct > 0but < 1 ∂St
We know that as the stock price moves ↑ ,the call price moves ↑.This can be represented by the option delta.
Arbitrage
In effect, the call price does not move one-forone with the underlyiing equity price Now, assume you hold a long position in the Call option (I.e. +Ct) Construct a portfolio with this Ct position and a “certain amount” of shares such that that portfolio remains riskless at all times. I.e., any unexpected small change in the call price (ΔCt) will be exactly offset by the corresponding change in the share holding
Arbitrage
If we hold Δ many shares in the opposite direction to the call position, we will be hedged and the portfolio will be riskless
I.e. if we hold –Δ.St shares (minus denotes a short position) against one long call option.
Arbitrage
Long Put Positions
We know that as the stock price moves ↑ ,the put price moves ↓. Therefore, we need a long position (+Δ.St) shares to offset the change in the put price.
Arbitrage
Data: S0 = 20, X=21, T=3 months, rF = 12% p.a. SUT = 22 ⇒ CUT = 1
S0 = 20
SDT = 18 ⇒ CDT = 0
Value the Call Option C0 by constructing a riskless portfolio Use a short position in the call security and a long position of Δ shares in the underlying equity
Arbitrage
Now consider the possible Cash Flow (CF) outcomes at t = T (option expiry/maturity) CFs at T=0.25yrs
Portfolio Value
UP
+22.Δ - 1
DOWN
+18.Δ - 0
N.B. Short Call Payoff at maturity = -Max(St-X, 0)
Financial Engineering sign convention
+ for Long Positions - for short Positions
Arbitrage
If our riskless portfolio is truly riskless, then in either state (up or down), the value of the portfolio is the same. Solve the equation: +22.Δ – 1 => Δ = 0.25
= +18.Δ – 0
Therefore PFUT
= 22(0.25) – 1 = +4.5
PFDT
= 18(0.25) – 0 = +4.5
Arbitrage
The value of the future (t=T) portfolio today = PFt=0
= e-R F.T .PFt=T = e-0.12.0.25 .4.5 = 4.367
But PFt=0
= S0.Δ – C0
=> 4.367
= 20x0.25 – C0
=> C0
= 0.633
C0 = 0.633 represents the fair value of the option
Arbitrage
There are two types of Arbitrage
Type 1 A riskless investment for which the rate of return r > rF
Type 2 No initial investment, guaranteed positive payoff at expiry A free-lunch
Arbitrage
Arbitrage Type 1 Example
Assume that the call option encountered previously was trading at 0.70 rather than 0.633 Step 1: Identify the Mispricing
Step 2: Implement appropriate Arbitrage Strategy and Hedge any Risk Exposure
Call is overpriced by €0.067
Sell Call Buy ∆ many share of underlying equity – i.e. a riskless portfolio by construction !
Step 3: Liquidate portfolio on option expiry and see what % return is implied by this strategy.
Arbitrage
Initial Outlay (Cash Flow) At t = 0 Sell 1 Call @ 0.7
= 0.7
Buy 0.25 shares @ 20
= -5.0
Total
CF
= -4.30
And recall CFs at T=0.25yrs
Portfolio Value
UP
+22x0.25 – 1 = 4.50
DOWN
+18x0.25 – 0 = 4.50
Arbitrage
So at t=0, we spent 4.30 to own the portfolio At t=T, we unwind (sell the call and buy the stock back) to realise 4.50 This gives us a net profit of 0.20 The net return on this strategy is given by
4.3 = 4.5e
− r ( 0.25 )
Taking the natural log of both sides
ln(4.3) = −0.25.r. ln(4.5) ⇒ ln = 18.185%
I.e. r > rF!
Arbitrage
With r > rF, contradicting the CAPM risk-return trade-off formula!
Given the opportunity described above, many in the market will sell the calls and buy shares This activity will drive the option price towards the fair-value, I.e. 6.33 In an efficient market, this returning to equilibrium will happen quickly
Exercise, what is the implied rate of return on our strategy if the option is priced at 6.333?
Arbitrage
Arbitrage Type 2 Example
Lets assume that the call option encountered previously was trading at 0.60 rather than 0.633 Step 1: Identify the Mispricing
Call is underpriced by €0.033
Step 2: Implement appropriate Arbitrage Strategy and Hedge any Risk Exposure
Buy Call (since it is underpriced) Sell ∆ many share of underlying equity (you will need to borrow these first to sell them).
Arbitrage
Step 3: Loan out the surplus cash (invest in riskless government bonds) and receive rF
Step 4: Liquidate portfolio on option expiry and see what % return is implied by this strategy.
Note that this strategy does not involve an initial outlay of cash.
Arbitrage
Initial Outlay (Cash Flow) At t = 0
CF
Buy 1 Call @ 0.6
= -0.6
Sell 0.25 shares @ 20
= +5.0
Sub-Total Lend
= +4.40 4.4 at rF
Net-Total
= zero outlay
Arbitrage
At t=T (Cash Flow at Maturity) At t = 0
PFUT or PFDT
CF = -4.5
Loan Recuperate
= +4.534
Total
= +0.034
I.e. We have made a riskless profit without spending any money
Exercise, what is the implied rate of return on our strategy if the option is priced at 6.333?
Risk Neutral Valuation
Consider again SUT = 22 ⇒ CUT = 1
S0 = 20
SDT = 18 ⇒ CDT = 0
Previously, we used the no-arbitrage approach to value the option. We will now value the option by calculating the expected payoff at expiry and discount this back to today.
Risk Neutral Valuation
Previously, we used the no-arbitrage approach to value the option. Construct a riskless portfolio in which you hold the Call security short Therefore ∆ many of the underlying shares in an offsetting long position. Remember, we don’t know what ∆ is! Let u denote the multiplicative UP factor and d=1/u the DOWN factor – see binomial stock price tree.
Risk Neutral Valuation + SUT = (S0.u).∆ - CUT ≡ - CU = - Max[SUT –X ] S0.∆ - C0
+ SDT = (S0.d).∆ - CDT ≡ - CD = - Max[SDT –X ]
Since the portfolio is riskless, we have S 0u.∆ − C U = S 0 d .∆ − C D
(
)
⇒ ∆ = C U − C D / ( S 0u − S 0 d )
…… (i)
Risk Neutral Valuation
Initally, the portfolio set up cost was: S 0 ∆ − C0
This must be equal to the discounted payoff at maturity (at either PFU or PFD state) S 0 ∆ − C0 = ( S 0u.∆ − C U )e − RF T
(
)
⇒ C0 = S 0 ∆ − S 0u.∆ − C U e − RF T
Substituting in ∆ from equation (i) ⇒ C0 = e − RF T ( p.C U + (1 − p ) C D ) where
(
p = e RF T − d
) (u − d )
Risk Neutral Valuation
Consider again: p
SUT
Note : u and d must imply the same but opposite sign proportional change in price – i.e. returns +/- 10%
E0[ST] = ? 1-p
(
p = e RF T − d
SDT
) (u − d )
where
Let u = 1.10, d = 0.90, rF = 12%, T = 0.25
We can calculate p = 0.6523
Risk Neutral Valuation
Interpreting p and (1-p) as probabilities, we can calculate the expected future stock price ET[ST] = SU.p + SD.(1-p) = 20x1.1x0.6523 + 20x0.9x(1-0.6523) = 20.61
BUT note that the expected future stock price: ET[S0] = S0.erFT = 20.e0.12(0.25) = 20.61
In a risk-neutral world, we expect the stock price to grow at the risk free rate
Risk Neutral Valuation
This means that the probabilities we have used p and (1-p) are the risk-neutral probabilities
Confirm this by using them to prove that expectations using them can be discounted to the resent value of the asset, I.e. S0 = e-r FT[SU.p + SD.(1-p)] = 20
Risk Neutral Valuation
Using the Risk-Neutral Probabilities, we can calculate the present value of the Call Option; C0 = e-r FT[CU.p + CD.(1-p)] C0 = e-0.12(0.25)
[1x0.6523 + 0x(1-0.6523)]
= 0.633
Now we have revalued the call option using the Risk Neutral Valuation
Risk Neutral Valuation
Reason we were able to use RN valuation is because we were able to construct a truly riskless PF comprising the Call and Equity securities. The risk-exposure facing the Call holder is unanticipated changes in the underlying equity price which can induce adverse changes in the market value Call security. If this risk can be hedged by constructing a riskless portfolio then we can equivalently value the Call security using either No-Arbitrage (or relative-value) valuation approach or the equivalent RN methodology.
Risk Neutral Binomial Trees
In practice, we do not know what u and d are but we can estimate their values as a function of time and volatility u = eσ δt d = e −σ δt
See Hull page 249 for further information
Further, recall that:
(
p = e − RF T − d
) (u − d )
Risk Neutral Binomial Trees
Assume the following inputs:
S0 = 100, X = 98, σ = 20% pa, rF = 5% pa, T = 1.0 years Distinct "States Node (2,2) 132.69 Node (1,1)
34.69
of the World" w=2
115.19 Node (0,1)
19.61062
100 11.064
Node (2,1) 100.00
Node (1,0)
2.00
w=1
86.81 1.080
Node (2,0) 75.36 0.00
Node Time: 0.0
Node Upper value = Stock Price Node Lower value = Option Price
0.5
1.0
w=0
Risk Neutral Binomial Trees
Firstly, calculate the value for u and d u = 1.1519, d = 1/u = 0.8681
Next, populate the stock price values, going from left to right:
Node(1,1) Stock price = S0u = 115.19
Node(2,1) Stock price = S0ud = S0du = 100
Now calculate the terminal option price values
Node(2,2) Option Price = max(ST-X,0) = 132.69-98 = 34.69
Node(2,1) Option Price = max(ST-X,0) = 100.00-98 = 2.00
Node(2,0) Option Price = max(ST-X,0) = 75.36-98 = zero
Risk Neutral Binomial Trees
Now calculate the intervening option prices going from right to left
Node(1,1) OP = e-0.05(0.5) Node(1,1) OP = e-0.05(0.5)
[34.68x0.5539+2x0.4461] = 19.6106 [2x0.5539-0x0.4461] = 1.080
And finally the current (t=0) option price
Node(0,0) OP = e-0.05(0.5) = 11.064
[19.6106x0.5539- 1.080 x0.4461]
Risk Neutral Binomial Trees
Notice the sum of the risk neutral probabilities
Probability state
Description
w=2
Two up probabilities in succession
= p.p
= 0.3068
w=1
Up followed by down or down followed by up
= p.u or u.p
= 0.4942
w=0
Two down probabilities in succession
= d.d
= 0.1990
Total
= 1.000
Further reading
Hull, J.C, “Options, Futures & Other Derivatives”, 2009, 7th Ed.
Chapter 17