Risk-Neutral Measures with Multiple Stock Return Processes
Summary
The document asks whether two stocks driven by the same Brownian motion can have different physical drift terms and still admit a risk-neutral measure. Its answer distinguishes between processes that are tradable assets and related return series that are not separately tradable. A change of measure can adjust the drift of the tradable asset to the risk-free rate, while a non-tradable representation derived from it need not independently satisfy the same pricing requirement.
The example contrasts a stock’s total return process with its price return process when distributions are paid. Under the risk-neutral measure, the drifts are changed in the stated way, but only one process represents a tradable security. The discussion is conceptual and illustrative: it does not establish general existence conditions for an equivalent martingale measure, which depend on the market’s full specification and no-arbitrage assumptions.
Key ideas
- A risk-neutral measure may exist even when two modeled processes have different physical drifts.
- The pricing requirement applies to tradable assets after accounting for the risk-free rate.
- A total return process and a price return process can describe different quantities associated with one stock.
- A non-tradable process need not independently behave as a priced asset under the risk-neutral measure.
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# Is there a risk-neutral measure if there are two stocks with different drift terms? # Is there a risk-neutral measure if there are two stocks with different drift terms? There are two stocks: $S_t$ and $P_t$ $$dS_t = S_t(\mu dt + \sigma dB_t)$$ $$dP_t = P_t((\mu + \varepsilon) dt + \sigma dB_t)$$ Is there any risk-neutral measure? My thoughts are pretty simple: $μ$ is for the physical measure, so there's no risk-neutral measure. Please shed light on this question. ## Answer by Frido (score 3, accepted) https://quant.stackexchange.com/a/75563 Well there can definitely be a risk-neutral measure but only one of the processes is a tradable. For instance, consider the total return process of a stock $S_t$ $$ dS_t = \mu S_t dt + \sigma S_t dW_t $$ and its price return $$ dP_t = (\mu - q)P_t dt + \sigma P_t dW_t, \quad P_0 := S_0 $$ Under the risk -neutral measure you have exactly the same SDEs with $r$ replacing $\mu$, but only one of them is tradable. In this example the total return process is tradable, the price return is not.
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