Deriving the Black–Scholes PDE for an Asian Average Payoff
Summary
The document considers a contract paying the average stock price over an interval ending at maturity. It introduces a running integral of the stock price as an additional state variable and applies Itô’s lemma to a price function of time, spot, and that integral. A self-financing portfolio of stock and bond is then used to derive a Black–Scholes-style PDE, with an extra term while the averaging period is active.
The post discusses solving the equation in separate time intervals around the start of averaging and asks whether the accumulated integral can instead be eliminated in favor of an equation involving only time and spot. It is an unfinished derivation and does not provide a solution, boundary conditions, or numerical evidence. Its proposed PDE should be checked carefully: the setup defines the running integral as zero before the averaging window, so the state and its dynamics need consistent treatment across that boundary.
Key ideas
- An average-price payoff can be represented using a running integral of the underlying price as a state variable.
- Applying Itô’s lemma introduces a derivative with respect to that accumulated integral during the averaging period.
- A stock and bond replication argument leads to a PDE that changes when averaging begins.
- Solving the pricing problem requires terminal and transition conditions in addition to the PDE.
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# Option pricing with definite integral
# Option pricing with definite integral
I would like to consider a slight generalisation of this question, which I recall here:
> At date of maturity $T_2$ the holder of a financial contract will obtain the amount: $$ \frac{1}{T_2−T_1}\int^{T_2}_{T_1}S(u)du $$ where $T_1$ is some time point before $T_2$. Determine the arbitrage free price of the contract at time $t$. Assume you live in a Black-Scholes world and that $t<T_1$.
Let's call $Z(t)$ the following quantity: $$ Z(t)=\int_{T_1}^t S(u)du, $$ defined only for $t>T_1$, otherwise $Z(t)=0$.
The price of the derivative should be a function of the form $F(t,S(t),Z(t))$.
I would like to dfind the Black-Scholes equation for this derivative.
#### Attempt
In the Black-Scholes world, we can use a bond and a stock of shares to replicate our derivative. The prices of the bond $B$ and the stock $S$ follow respectively these stochastic processes: $$ \begin{align} dB &= rBdt \\ dS &= \alpha Sdt + \sigma SdW. \end{align} $$ The payoff follows the process: $dZ = Sdt$ only for $t>T_1$, otherwise $Z$ is zero.
To replicate the derivative, we set up a portfolio $V$ whose relative weights are $u_B$ for the bond and $u_S$ for the stock.
The stochastic process for the price of the portfolio is: $$ dV = V\left(u_B r + u_S \alpha\right)dt + u_S \sigma V dW. $$ The stochastic process for the option price is, from Ito's lemma: $$ dF = \left(F_t + \alpha S F_S + S F_Z + \frac12 \sigma^2S^2 F_{SS}\right)dt + \sigma S F_S dW. $$ Since $V$ is a replicating portfolio, it must follow the same stochastic process as $F$, so we can solve for the relative weights of bond and stock: $$ \begin{align} u_S &= \frac{S F_S}{F} \\ u_B &= \frac{F_t + SF_Z + \frac12 \sigma^2 S^2 F_{SS}}{rF}. \end{align} $$ Imposing the obvious constraint $u_B + u_S = 1$, we get the Black-Scholes equation for this derivative: $$ F_t + rs F_s + H(t-T_1) sF_z + \frac12 \sigma^2s^2F_{ss} - rF = 0, $$ where $H(t-T_1)$ is the unit step which is zero for $t<T_1$ and one for $t>T_1$.
#### Question
- Is the equation above correct?
- If so, how does one solve it? The step function does not seem a big deal, as one can solve the equation with the term $sF_Z$ in the interval $ [T_1,T_2]$, and without it in the interval $[t,T_1]$. I am more concerned by the derivative $F_Z$ itself, as this would be solved trivially by separation of variables: $F(t,s,z)=A(t,s)\cdot(mz+q)$, $m$ and $q$ deterministic constants, but maybe the equation for $F$ should be recast as an integro-differential equation in the variables $(t,s)$ only?Shown in full with attribution under the source's licence. Licence: CC BY-SA 4.0 (Stack Exchange)
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.