Merton s Jump Diffusion Model. David Bonnemort, Yunhye Chu, Cory Steffen, Carl Tams

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Merton s Jump Diffusion Model David Bonnemort, Yunhye Chu, Cory Steffen, Carl Tams

Outline Background The Problem Research Summary & future direction

Background Terms Option: (Call/Put) is a derivative written on a security that gives the owner the right to buy or sell the security at a predetermined price on a specified date in the future Premium: price of the option Strike: the price at which the owner of an option has the right to buy or sell the option Maturity: the date on which the option may be exercised Volatility: standard deviation of the change in value of an asset over time In general, the more volatile the asset, the more a derivative contract is worth

Background Example: Call Option Suppose the strike = $100 Payoff If stock price reaches $110 at expiration, then the buyer makes a profit of $10 If the stock is below $100 at expiration, then it has no value

Background Build Optimal Portfolio Depends on goal: risky v. conservative Options By itself it is VERY RISKY When coupled with stock appropriately the portfolio can become LESS RISKY This is called Hedging

Want to know how a financial product will react in the market If stock goes up option moves accordingly. Background Design option to react how you want it to (ie. calls and put) This is important because understanding these reactions will help people optimize their portfolios i.e. make more money by knowing how to allocate their assets within their investments

Black-Scholes Formula Background To calculate the fair-market value for any option, the formula uses multiple variables. S K r T _ t = current stock price, = strike price, = risk-free interest rate, = time to expiration, = volatility of the stock. = current time

d 1 Black-Scholes Formula Background C( s,t,σ,k)= SN( d 1 ) Ke r(t t ) N( d ) 2 where N(x) is the cumulative normal distribution function And d 1 and d 2 are defined as: d 1 = log S K + ( r + σ 2 2)(T t) σ T t d 2 = d`1 σ T t

Background Assumptions of Black-Scholes Model The stock follows geometric Brownian motion No dividends are paid out on the underlying stock during the option life. The option can only be exercised at expiration time (European style) Efficient markets (No arbitrage) No transaction cost Risk free interest rates do not change over the life of the option (and are known)

The Problem Black Scholes Model Requires different volatilities for different strikes and maturities to price the option Ideally want a 1 1 correspondence One volatility assigned to each stock BS assumes a log normal distribution By adding jumps we correct this flaw

Solution : Merton s Jump Diffusion Model This model attempts to solve the problems associated with a log normal distribution The Problem

Research Merton s Jump Diffusion Model Show how Black- Scholes fails Show how Jump Diffusion works Derivation Research using NDX-100 and IBM

Research Failure of lognormal distribution assumption

Introduction to the Jump Diffusion Model Allows for larger moves in asset prices caused by sudden events. The jump component represents nonsystematic risk, a type of risk that affects a particular company or industry. Research

Jump Diffusion Model Derivation Merton includes a discontinuity of underlying stock returns called a jump. Research The following formula describes a relative change of stock price with the jump factor: q where S i+1 S i S i = µδt + σδω i + Δq Δq = 0 without y 1 with jumps jumps

Jump Diffusion Model Derivation The following is the modified Black-Scholes equation in the jump diffusion model. Research 1 σ 2 2 S 2 F ss + (r λk)sf s F τ rf + λe[f(sy,τ) F(s,τ)] = 0 The solution can be represented by a series consisting of terms F n = e λτ (λτ) n n! E[W (x,τ,k,σ 2 )],n = 0,1,2,...

Volatility Smile Implied volatility-is the volatility used in Black Scholes to match the market price. Research The Black-Scholes formula uses different implied volatilities for different strikes and maturities. At-the-money options tend to have lower implied volatilities.

Volatility Smile

Research Volatility smile for an option on the NDX-100 Volatility Smile (option for the NDX stock) implied volatility (jump) implied volatility (market) implied volatility 24 23 22 21 20 19 18 17 1520 1540 1560 1580 1600 1620 strike

Volatility smile for an option on IBM stock Research Volatility Smile (Option for the IBM stock expired on Dec 6th 2006) implied volatility 19 implied vol (jump) implied vol (market) 18 17 16 15 14 13 12 80 85 90 95 100 105 strike

Option Pricing Errors of Jump Diffusion Model and Black-Scholes Model (IBM) price difference Price Errors 0.3 0.2 0.1 0 80 85 90 95 100 105-0.1-0.2-0.3 Jump model σ=0.12 BS model σ=0.1 σ=0.11 σ=0.12 σ=0.13 σ=0.14 σ=0.15 σ=0.16-0.4-0.5-0.6-0.7 strike

Summary Merton included the impact of a sudden large stock fluctuations Model works better on individual stocks relative to indices Non-systematic jump risk assumption is important in this model.

Future Direction Estimate the jump risk on particular stocks and indices Analyze the volatility smile to determine systematic or nonsystematic risks