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Quantitative Finance > Trading and Market Microstructure

Title: Theoretical and empirical analysis of trading activity

Abstract: Understanding the structure of financial markets deals with suitably determining the functional relation between financial variables. In this respect, important variables are the trading activity, defined here as the number of trades $N$, and traded volume $V$ in the asset, its price $P$, the squared volatility $\sigma^2$, the corresponding bid-ask spread $S$ and the cost of trading $C$. Different reasonings result in simple proportionality relations ("scaling laws") between these variables. A basic proportionality is established between the trading activity and the squared volatility, i.e., $N \sim \sigma^2$. More sophisticated relations are the so called 3/2-law $N^{3/2} \sim \sigma P V /C$ and the intriguing scaling $N \sim (\sigma P/S)^2$. We prove that these "scaling laws" are the only possible relations for considered sets of variables by means of a well-known argument from physics: dimensional analysis. Moreover, we provide empirical evidence based on data from the NASDAQ stock exchange showing that the sophisticated relations hold with a certain degree of universality. Finally, we discuss the time scaling of the volatility $\sigma$, which turns out to be more subtle than one might naively expect.
Comments: 27 pages
Subjects: Trading and Market Microstructure (q-fin.TR)
Cite as: arXiv:1803.04892 [q-fin.TR]
  (or arXiv:1803.04892v1 [q-fin.TR] for this version)

Submission history

From: Ludovic Tangpi [view email]
[v1] Tue, 13 Mar 2018 15:45:09 GMT (156kb,D)