Does the Lending Rate Impact ETF's Prices?

Authors

  • Alan de Genaro BM&FBovespa
  • Marco Avellaneda Courant Institute - NYU

DOI:

https://doi.org/10.12660/bre.v38n22018.31732

Keywords:

Hard-to-Borrow, Leverage ETF, Simulated Maximum Likelihood, Jumps

Abstract

In this paper we developed an econometric model to empirically test the hard-to-borrow model of Avellaneda and Lipkin (2009) where asset prices jump as result of ``buy-in" procedures. The model is estimated using an extent version of simulated maximum likelihood (SML) for a selected group of Leveraged ETF, mainly short LETFs, because these instruments have been sporadically hard-to-borrow and are liquids.  In general we do not find enough statistical evidence supporting that hard-to-borrow effect impacts LETFs prices. On the other hand, we did find statistical evidence supporting the jump-diffusion model for some Leveraged ETFs.

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Published

2019-01-04

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Section

Articles