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Financial Risk Management of Insurance Enterprises Valuing Interest Rate Options.

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Presentation on theme: "Financial Risk Management of Insurance Enterprises Valuing Interest Rate Options."— Presentation transcript:

1 Financial Risk Management of Insurance Enterprises Valuing Interest Rate Options

2 Interest Rate Options We will take a more detailed look at interest rate options What is fraternity row? –Delta, gamma, theta, kappa, vega, rho What is the Black-Scholes formula? –What are its limitations for interest rate options? How do we value interest rate options using the binomial tree method? What is an implied volatility?

3 Price Sensitivity of Options Before moving to options on bonds, let’s digress to the “simpler” case of options on stock Define delta ( ∆ ) as the change in the option price for a change in the underlying stock Recall that at maturity c=max(0,S T -X) and p=max(0,X-S T ) –This should help make the sign of the derivatives obvious

4 Definition of Delta

5 Predicting Changes in Option Value We can use delta to predict the change in the option value given a change in the underlying stock For example, if ∆ = -½, what is the change in the option value if the stock price drops by $5 –First, the option must be a put since ∆ <0 –We know that puts increase in value as S decreases –Change in put is (-½) x (-5) = +2.50

6 Similarity to Duration Note that ∆ is similar to duration –It predicts the change in value based on a linear relationship The analog of convexity for options is called gamma ( γ ) –This measures the curvature of the price curve as a function of the stock price

7 Other Greeks Recall that the value of an option depends on: –Underlying stock price (S) –Exercise price (X) –Time to maturity (T) –Volatility of stock price ( σ ) –Risk free rate (r f ) The only thing that is not changing is the exercise price Define “the greeks” by the partial derivatives of the option’s value with respect to each independent variable

8 Other Greeks (p.2) We’ve already seen the first and second derivative with respect to S ( ∆ and γ )

9 Black-Scholes Black and Scholes have developed an arbitrage argument for pricing calls and puts The general argument: –Form a hedge portfolio with 1 option and ∆ shares of the underlying stock –Any instantaneous movement of the stock price is exactly offset by the change in the option –Resulting portfolio is riskless and must earn risk-free rate

10 The Black-Scholes Formula After working through the argument, the result is a partial differential equation which has the following solution

11 Some Comments about Black- Scholes Formula is for a European call on a non- dividend paying stock Based on continuous hedging argument To value put options, use put-call parity relationship It can be shown that ∆ for a call is N(d 1 ) –This is not as easy as it may look because S shows up in d 1 and d 2

12 Problems in Applying Black- Scholes to Bonds There are three issues in applying Black-Scholes to bonds First, the assumption of a constant risk-free rate is harmless for stock options –For bonds, the movement of interest rates is why the option “exists” Second, constant volatility of stocks is a reasonable assumption –But, as bonds approach maturity, volatility decreases since at bond maturity, it can only take on one value

13 Problems in Applying Black- Scholes to Bonds (p.2) Third, assuming that interest rates cannot be negative, there is an upper limit on bond prices that does not exist for stocks –Max price is the undiscounted value of all cash flows Another potential problem is that most bonds pay coupons –Although, there are formulae which compute the option values of dividend-paying stocks

14 Binomial Method Instead of using Black-Scholes, we can use the binomial method Based on the binomial tree, we can value interest rate options in a straightforward manner What types of options can we value? –Calls and puts on bonds –Caps and floors

15 Example of Binomial Method What is the value of a 2 year call option if the underlying bond is a 3 year, 5% annual coupon bond –The strike price is equal to the face value of $100 Assume we have already calibrated the binomial tree so that we can price the bond at each node –Make sure our binomial model is “arbitrage free” by replicating market values of bonds

16 MV=100.06 5.00% MV=99.08 Coupon=5 5.97% Principal =100 Coupon=5 Principal =100 Coupon=5 Principal =100 Coupon=5 MV=100.10 Coupon=5 4.89% MV=100.96 Coupon=5 4.00% MV=99.14 Coupon=5 5.50% MV=100.99 Coupon=5 4.50% Underlying Bond Values

17 Option Values Start at expiration of option and work backwards –Option value at expiration is max(0,S T -X) Discount payoff to beginning of tree MV=0.27 5.00% MV=0.05 5.50% MV=0.51 4.50% Option Value = 0 Option Value = 0.10 Option Value = 0.96

18 Calculations

19 A Note About Options on Bonds A call option on a bond is similar to a floor –As interest rates decline, the underlying bond price increases and the call value increases in value –A floor also pays off when interest rates decline Main difference lies in payoff function –For floors, the payoff is linear in the interest rate –For call options, the payoff has curvature because the bond price curve is convex

20 Implied Volatility Using the Black-Scholes equation or a binomial tree is useful if volatility is known –Historical volatility is frequently used Using the market prices of options, we can “back into” an implied market volatility –Use solver tool in spreadsheet programs or just use trial-and-error

21 Use of Implied Volatility When creating a binomial model or similar type of tool, we should make sure that the implied market volatility is consistent with our model If our model has assumed a low volatility relative to the market, we are underpricing options This is an additional “constraint” along with arbitrage-free considerations

22 Next Time... Review of Interest Rate Swaps How to Value Interest Rate Swaps


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