Why a Locally Risk-Free Portfolio Has No Diffusion Risk
Summary
This discussion clarifies the meaning of a locally risk-free portfolio in the Black–Scholes argument. A portfolio whose change is written as a drift term plus a Brownian shock is locally risk-free when its exposure to that shock is zero. In the option replication setup, choosing the stock position to offset the option’s delta removes the random component of the portfolio’s instantaneous change.
The accepted explanation characterizes local risklessness as earning the risk-free rate over an infinitesimal interval, so both the diffusion coefficient must vanish and the drift must equal the risk-free growth of portfolio value. This addresses the question of why a drift that depends on the current state does not, by itself, constitute local randomness in the increment. The post also notes a correction: the portfolio initially proposed was not necessarily self-financing or locally risk-free. It is a conceptual clarification, not a complete derivation of Black–Scholes or a treatment of global path risk.
Key ideas
- A portfolio is locally risk-free when its instantaneous Brownian exposure is zero.
- A zero diffusion coefficient removes the random component of the portfolio’s infinitesimal change.
- For the portfolio to earn the risk-free rate, its drift must match the risk-free growth of its value.
- The original portfolio setup requires care because it may not be self-financing.
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# Notion of risk-less portfolio in derivation of Black-Scholes
# Notion of risk-less portfolio in derivation of Black-Scholes
EDIT: As pointed out by Gordon in the comments, the portfolio I considered in my original post is neither self-financing nor (locally) risk-free. Though the central question is still open. Suppose that we have a portfolio $P_t$ satisfying $$dP_t=a(W_t,t)dt+b(W_t,t)dW_t.$$ Then, apparently, the portfolio is called (locally) risk-free iff $b(W_t,t)$ vanishes. My question is why this definition makes sense. After all, the coefficient $a(W_t,t)$ might depend on the Wiener process, and thus on the path we are given.
This was the original post: I'm trying to understand the derivation of the Black-Scholes equation for an option by arbitrage considerations, and feel puzzled by the notion of a risk-free portfolio.
As usual, let the price of the underlying stock be given by the Ito-process $$dS_t=\mu S_t dt+\sigma S_t dW_t,$$ and let $V$ denote the price of the option. We then consider the portfolio $$P_t=V_t+\Delta S_t.$$ If we assume that this portfolio is self-financing it satisfies $$dP_t=\left(\frac{\partial V}{\partial t}+\frac{1}{2}\sigma^2 S_t^2 \frac{\partial^2 V}{\partial S^2}\right)dt+\left(\frac{\partial V}{\partial S}+\Delta\right)dS.$$ Then it is claimed that the choice $\Delta=-\frac{\partial V}{\partial S}$ makes the portfolio risk-free because the $dS$ term vanishes. Hence it must grow at the risk-free rate $$dP_t=rP_tdt.~(1)$$
I have some problem understanding why such a portfolio is considered to be risk-free. After all in the equivalent integral equation $$P_t-P_0=\int_0^t a(W_s,s)ds,$$ where $a$ is the first bracket, we still integrate over the paths of the Wiener process (or some function thereof). So it still depends on the path we are given.
I came up with the following (heuristic) idea: since the paths of the Wiener process are continuous (almost surely), on a very small interval $[t_0-\epsilon,t_0+\epsilon]$ the term $a$ is bounded $$a_0-k\leq a(W_t(\omega),t)\leq a_0+k.$$ By monotony of the integral the growth of $P_t$ is thus approximately linear in $t$ with rate between $a_0-k$ and $a_0+k$ (where $k$ may be arbitrarily small). Hence at this small time scale the portfolio should be approximately risk-free, and taking the limit should give equation $(1)$. Such an argument does not seem to work for a potential $dS$ term because integration with respect to the Wiener process lacks monotony.
## Answer by Gordon (score 4, accepted)
https://quant.stackexchange.com/a/32579
Regarding the self-financing and locally risk-free issues of the portfolio $P_t= V_t +\Delta S_t$, see this question and also discussions on Page 100 of the book Mathematical Methods for Financial Markets by Jeanblanc, Yor, and Chesney.
Note that a portfolio is locally risk-free means that it earns the risk free rate $r$ over the infinitesimal interval $[t, t+dt]$ (see the bottom part on Page 99 of the above book). That is, \begin{align*} dP_t = rP_t dt. \end{align*} In other words, \begin{align*} a(W_{t}, t) dt + b(W_{t}, t)dW_t = rP_t dt. \end{align*} Consequently, $b(W_{t}, t)=0$ and \begin{align*} a(W_{t}, t) = rP_t. \end{align*}Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
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