Price Elasticity of Demand and Supply in Sharemarket

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The discussion centers on measuring price elasticity of demand and supply in the stock market. It begins with a query about how to calculate the variation in demand for a stock when its price changes. The response suggests using the formula (dX/dP)*(P/X) and mentions regression analysis as a method, though it questions the practical value of such measurements. The conversation highlights that stock market charts visually represent demand and supply interactions, but identifying them separately poses challenges due to market equilibrium complexities. It notes that the market often operates in disequilibrium, typically with a short net position, complicating the analysis further. The discussion also touches on the implications of competitive versus oligopolistic behavior in the market, indicating that collusion on the supply side could simplify the analysis of demand elasticity, while still needing to address the net short issue.
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Hey everyone,

just wondering if there is any way that price elasticity of demand and supply can be measured in the sharemarket?

thanks for your help
 
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Hi

do you mean to calculate how much the demand for a share on the stock market varies when the price of the stock varies by one percent?

If so, you can do this the same way you would for anything else (dX/dP)*(P/X), by either doing a regression or something, but I don't think this information would have much practical value...

What theory do you want to test?
 
Isn't a stock market chart a visual representation of this phenomena?
 
At least superficially, there is an identification problem. The price & volume observations all correspond to some kind of market equilibrium -- the intersection of the demand and the supply; so there is no way to identify D&S separately. Assuming that suitable instruments can be found, you can estimate volume & price separately as reduced form equations, than back out the structural parameters, or run a 2-stage or 3-stage least squares to estimate the structural model directly.

In fact, the market is normally in disequilibrium -- typically the net position is short, i.e. the market is short on a typical day (which is why the market is liable to a sudden crash [but relatively well protected against a sudden surge?], according to Greenspan). This further complicates the matter, because it means that there is some slack that is not immediately observable from price & volume data.

Finally, you are assuming competitive behavior on both sides of the market. Oligopolistic or collusive behavior on one side (e.g. the supply side) would in fact simplify the matter: then, price & volume observations can be used to track the elasticity of the other side (e.g. the demand side). But you'd still have to tackle the "net short" problem.
 
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