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Apr/05/2009
The Clustering of Liquidity

It is interesting to observe how traders cluster to some very few stocks. A quick look at the trading at Oslo Stock Exchange shows this:



The y-axis shows the volume in dollars for each stock and the x-axis has sorted the stocks from the least to the most traded. The logarithmic graph has removed the zero-volume stocks since ln(0) is undefined.

From an individual investor′s perspective each stock should be equivalent. Theory also suggests that low liquidity should be compensated with a higher return. But this leaves a paradox: High spread and a thin order book is a greater problem for a large than for a small investor. The solution to this problem is probably that small players should trade low liquidity stocks and the large ones are better off by staying away.

How could this be modeled?

And what when a low-liquidity stock suddenly gets an increase, will it then suddenly peak in price (and maybe have a binomial distribution as it goes along a trend - either it will reach the "popular" club or fall back down) ?

Feedback highly appreciated.


More philosophizing at a similar study from 2007.



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