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.
Choose the market price of risk . The Girsanov theorem, with the hypotheses allowed in the question, gives an equivalent martingale measure under which
Thus the stock under the risk-neutral measure is a linear Gaussian diffusion. In particular, for its conditional mean and standard deviation are
Put 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 is
At 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 solves
The Itô formula under the physical measure therefore gives
This 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. Thus
The 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.