Delta bound in an arithmetic stock model 2026-10-06
The delta of the call price in an arithmetic stock model with interest is the normal distribution function at its standardized discounted moneyness. It lies strictly between zero and one before maturity. Its maturity limit is the call payoff derivative away from the strike, an exceptional event of probability zero under the Gaussian pricing law.
Past exam of the mathematics course of the University of Cambridge 2014 iii Paper 38 5 b Solution Created 2026-10-03 Updated 2026-10-06
Choose the market price of risk . The Girsanov theorem, with the hypotheses allowed in the question, gives an equivalent martingale measure under whichThus the stock under the risk-neutral measure is a linear Gaussian diffusion. In particular, for its conditional mean and standard deviation arePut and let be the standard normal distribution function. For ,since . Discounting this expectation gives the call price in an arithmetic stock model with interest. A particularly convenient expression isAt maturity define . This value is nonnegative because it is a discounted expectation of a nonnegative payoff.
For , hold shares and hold units of the continuous-time bank account. The pricing function solvesThe Itô formula under the physical measure therefore givesThis proves self-financing and terminal replication, with wealth always . The coefficients are locally smooth before maturity, and the strategy extends to maturity through its continuous wealth limit and the square-integrable discounted payoff representation.
To see minimality, any other nonnegative self-financing portfolio replicating the payoff has discounted wealth a nonnegative local martingale under , hence a supermartingale. Its initial capital must satisfy . The strategy constructed above attains equality. ThusThe additive physical diffusion may take negative stock values; the formula and nonnegative replicating wealth remain valid. Replacing it by a multiplicative Black–Scholes diffusion would give the wrong price and hedge.