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    Introduction to Martingale

    approach for Black-Scholes

    Models

    !!Brownian motion!!Ito calculus!!Change of measure!!Martingale representation theorem!!Martingale approach for Black-Scholes model

    1. Brownian Motion

    ! Definition: The process W = (Wt : t 0) is a P-Brownian motion if and onlyif

    ! (i) Wt is continuous and W0 = 0;! (ii) The value of Wt is distributed, under P, as N(0,t);! (iii) The increment Ws+t Ws is distributed as N(0,t), under P, and is

    independent of Fs, the history of what the process did up to time s.

    ! Odd properties of Brownian motion (BM)! BM is continuous but nowhere differentiable.! BM could hit any real value, but, with probability one, it will be back

    down again to zero.

    ! BM is self-similar.! BM is also called a Wiener process.

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    1. Brownian Motion

    ! Brownian motion with drift! What is the covariance function?

    ! Geometric Brownian motion (GBM)! GBM with drift is a model often used for stock prices.! Assume that is a drift factor and ! is a noise factor.! What is the covariance function?

    ! Consider functions of Brownian motion, can we establish certain calculusrules?

    ! Recall that, inNewtonian differentials! Differentiable functions can be approximated by piecewise linear

    functions.

    ! The old differential tools can NOT be used for Brownian motion.Why?

    2. It Calculus

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    2. It Calculus

    ! In stochastic differentials,! Brownian motions have self-similarity property, in another word, we

    can NOT approximate Brownian motions (or functions of them) by

    piecewise linear functions.

    ! A stochastic process X will have a Newtonian term based on dtand aBrownian term, based on the diffusion term, dWt.

    drift volatility

    ! It formula! A simple result! For a smooth functionf, consider a Taylor expansion

    = dt = 0

    2. It Calculus

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    ! IfXis a stochastic process,

    andfis a deterministic twice continuously differentiable

    function, thenf(Xt) is also a stochastic process and is given

    by

    2. It Calculus

    ! Example2. It Calculus

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    3. Change of Measure

    ! We have used Brownian motions to describe the stock pricemovement, and also got basic tools for differentials of

    Brownian motion.

    ! Note that a Brownian motion Wt is referred to some measureP, or we should call WtaP-Brownian motion.

    ! However, we have no idea how WtorXtchanges as themeasure changes.

    3. Change of Measure

    ! Equivalent measuresTwo measures P and Q are equivalent if they operate on the same

    sample space and agree on what is possible. If A is any event in the sample

    space,

    ! dQ/dPand dP/dQ are only well-defined if measures P and Q areequivalent.

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    3. Change of Measure

    ! Radon-Nikodym process

    3. Change of Measure

    ! Cameron-Martin-Girsanov theorem

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    3. Change of Measure

    ! Cameron-Martin-Girsanov converse

    3. Change of Measure

    ! C-M-G and stochastic differentials

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    4. Martingale Representation Theorem

    ! Martingale

    4. Martingale Representation Theorem

    ! Martingale examples

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    4. Martingale Representation Theorem

    4. Martingale Representation Theorem

    ! Martingales and driftlessness

    ! Exponential martingales

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    ! Black-Scholes model is the basic building blocks ofderivatives theory.

    ! In 1970s, Fisher Black, Myron Scholes and Robert Mertonmade a major breakthrough in the pricing of stock options

    they develop the Black-Scholes (or Black-Scholes-Merton)

    model.

    ! Merton and Scholes received the Nobel prize in 1997.

    5. Martingale approach for Black-Scholes model

    1.! Take a stock model2.! Use the Cameron-Martin-Girsanov theorem to change it

    into a martingale.

    3.! Use the martingale representation theorem to create areplicating strategy for each claim.

    5. Martingale approach for Black-Scholes model

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    Model assumptions:

    ! The stock price and bond price follow

    where ris the riskless interest rate, ! is thestock

    volatility and is thestock drift(for simplicity, we

    assume that r, and ! are deterministic).

    ! There are no transaction costs.! Both instruments are freely and instantaneously tradable

    either long or short at the price quoted.

    5. Martingale approach for Black-Scholes model

    Three steps to replication

    ! Find a measure Q under which Stis a martingale.! Form the process

    ! Find a previsible process "t, such that

    5. Martingale approach for Black-Scholes model

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    5. Martingale Approach Step One

    5. Martingale Approach Step Two

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    5. Martingale Approach Step Three

    5. Martingale Approach Summary

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    5. Martingale Approach European Options

    5. Martingale Approach

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    5. Martingale Approach Other Options