The Interrupted Power Law and The Size of Shadow Banking
Davide Fiaschi, Imre Kondor, Matteo Marsili, Valerio Volpati

TL;DR
This paper reveals an interrupted Pareto distribution in the sizes of the largest firms, with a sharp cut-off in the upper tail caused by shadow banking activities, and introduces a model to estimate shadow banking size.
Contribution
It identifies an interrupted Pareto distribution in firm sizes and links the upper tail cut-off to shadow banking, proposing a new index to estimate shadow banking activity.
Findings
The largest firms follow an interrupted Pareto distribution.
Shadow banking activity causes a sharp cut-off in the upper tail.
The proposed model estimates shadow banking size consistent with prior estimates.
Abstract
Using public data (Forbes Global 2000) we show that the asset sizes for the largest global firms follow a Pareto distribution in an intermediate range, that is ``interrupted'' by a sharp cut-off in its upper tail, where it is totally dominated by financial firms. This flattening of the distribution contrasts with a large body of empirical literature which finds a Pareto distribution for firm sizes both across countries and over time. Pareto distributions are generally traced back to a mechanism of proportional random growth, based on a regime of constant returns to scale. This makes our findings of an ``interrupted'' Pareto distribution all the more puzzling, because we provide evidence that financial firms in our sample should operate in such a regime. We claim that the missing mass from the upper tail of the asset size distribution is a consequence of shadow banking activity and that…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
