In order to derive the Black-Scholes equation for a stock yielding dividends at the continuous rate M. Joshi in The concepts and practice of mathematical finance starts from the stochastic process for a delivery contract , equation (5.76): He defines a delivery contract as a contract where you pay for stock today, but it gets delivered to you at time . He writes that for a non-dividend paying stock, at time has the same value of as both end up with you holding one . Then he makes the case of a dividend paying stock (included in text snapshot below): at time you will have if you held the stock, while only if you held a delivery contract, so the latter's value at must be . However equation (5.76), renamed (1) above is thrown there as is and not motivated by any derivation. I have tried deriving it from the and processes listed above, using the chain rule ( Ito's lemma here because ): \begin{align} dX_t(S_t, t) & =\\ &= \frac{\partial X_t}{\partial S_t} dS_t + \left[ \frac{\partial X_t}{\partial t} + \frac{\partial X_t}{\partial S_t} \frac{\partial S_t}{\partial t} \right] dt \\ &= e^{-d(T - t)} \left[ ( \mu - d) S_t dt + \sigma S_t dW_t \right] + \left[ e^{-d (T - t)} S_t d + e^{-d (T - t)} S_t \left(\mu - d - \frac{\sigma^2}{2} \right)\right] dt \\ &= X_t \left[ \left( 2 \mu - d - \frac{\sigma^2}{2} \right) dt + \sigma dW_t \right] \qquad \qquad (2) \end{align} where I have used . Equations (1) and (2) differ, in that they have different deterministic components. Can anyone enlighten me as where errors/incongruities are in the above? Below, the passage from the book included as snapshot.

Deriving the stochastic process for a dividend-yielding stock (under Black-Scholes assumptions)
Giogre

