Market Price of Risk and Risk-Neutral Option Pricing
Summary
The document discusses option pricing in a stochastic volatility model, where volatility itself follows a diffusion process correlated with the underlying asset. It outlines hedging an option with the underlying and a second option to remove sources of risk, producing a pricing partial differential equation with a market price of volatility risk. That parameter represents compensation associated with exposure to volatility risk under the model.
The response distinguishes this real-world risk compensation from risk-neutral pricing. Under a risk-neutral measure, discounted option values are martingales, but this does not require the market price of risk in the original measure to be zero. The Feynman–Kac connection expresses the pricing equation as a conditional expectation under the pricing measure. The answer also flags a likely algebraic or conceptual mistake: the risky asset's excess return relation applies to the option before hedging, not to the already risk-free hedged portfolio. The discussion sketches the reasoning but explicitly does not fully verify the original derivation.
Key ideas
- A stochastic volatility option can be hedged with the underlying and another option to remove risk exposures.
- The market price of volatility risk enters the pricing equation through the volatility process.
- Discounted values are martingales under a risk-neutral measure, not necessarily under the real-world measure.
- Risk-neutral pricing does not imply that the real-world market price of risk is zero.
- The excess-return relation applies to a risky option position, not a portfolio already made risk-free.
Tags
Full text
# How to understand the market price of risk
# How to understand the market price of risk
Consider the stochastic vol: $$dS = \mu Sdt + \sigma SdW_1$$ $$d\sigma = p(\sigma,S,t)dt + q(\sigma,S,t)dW_2$$ $$dW_1dW_2 = \rho dt$$ We want to obtain the price of option $V(\sigma,S,t),$ we use the underlying asset $S$ and another option $V_1(\sigma,S,t)$ to build the `hedging portfolio`: $$\Pi = V -\Delta S - \Delta_1 V_1$$ then make $$d \Pi = r\Pi dt$$ eliminate the `risk terms` we have $$\dfrac{\partial V}{\partial t} + \dfrac{1}{2}\sigma^2S^2\dfrac{\partial^2 V}{\partial S^2} + \rho\sigma Sq\dfrac{\partial^2 V}{\partial S\partial \sigma} + \dfrac{1}{2}\sigma^2q^2\dfrac{\partial^2 V}{\partial \sigma^2} + rS\dfrac{\partial V}{\partial S} -rV = -(p-\lambda q)\dfrac{\partial V}{\partial \sigma}.$$ Here $\lambda$ is called `market price of risk`, since we can understand $\lambda$ as $$d V -rV dt = q\dfrac{\partial V}{\partial S}(\lambda d t + d W_2) = q\Delta(\lambda d t + d W_2)$$ this is the `unit of extra return`.
And we have another way to price $V,$ the `discounted value` of $V$ is `martingale`, namely $dt$ term of $d(e^{-rt} V)$ is zero, then we find that, the PDE of $V$ is exactly $$\lambda = 0$$ in above PDE. So does that mean, the discounted value of $V$ is martingale is equivalent to the market price of risk is zero?
## Answer by Wiles01 (score 3)
https://quant.stackexchange.com/a/33746
I think you misunderstood the underlying idea of the risk-neutrality and the market price of risk.
The basic idea is to price the option with a portfolio consisting of the underlying asset $S$ and another option. In order to make this portfolio risk-free and because of no-arbitrage arguments, the change in the portfolio should correspond to the change of the risk-free portfolio, i.e.
$d\Pi= r\Pi dt$
This delivers (I didn't check calculations in details) the partial differential equation with $V$ you obtained.
Your mistake is then coming when you write:
$d\Pi- r\Pi dt\ $=$\ q \Delta( \lambda dt+d W_2) $.
Of course, this is impossible because, given the risk-free portfolio, the left hand side is zero but the right hand side is always different from zero whatever the value of $\lambda$.
Probably that this formula is for the option to price:
$dV- rV dt\ $=$\ q \Delta( \lambda dt+d W_2) $
which expresses the idea of risk compensation by $\lambda$.
The right hand side contains a deterministic term in $dt$ and a stochastic term in $dW_2$. The term in $dW_2$ shows that the portfolio is a risky portfolio and $\lambda$ can then be interpreted as the excess return (on top of the risk-free return $r$) for accepting a certain level of risk. On the one hand, you have a risk but on the other hand, you have excess return via $\lambda$ (which explains the name "market price of risk").
By the Feynman–Kac formula, we can also express this PDE as a conditional expectation, which justifies the martingale approach. But nowhere, in the reasoning, we need to assume that $\lambda=0$. Otherwise, it would mean that the risk-neutral measure and the real-world measure coincide, which does not really make sense.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.