This paper proposes a new framework for modeling stock price dynamics by replacing volatility with trading volume.
Instead of centering asset pricing around volatility, the authors build on a price–volume relationship inspired by fluid dynamics, combined with a white-noise assumption for the price rate of change, which is empirically validated using market data.
The study suggests that trading volume may serve as a more fundamental state variable than volatility in certain pricing contexts.
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