EconPapers    
Economics at your fingertips  
 

Does the Lending Rate Impact ETF's Prices?

Alan de Genaro and Marco Avellaneda

Brazilian Review of Econometrics, 2019, vol. 38, issue 2

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.

Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://periodicos.fgv.br/bre/article/view/31732 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sbe:breart:v:38:y:2019:i:2:a:31732

Access Statistics for this article

Brazilian Review of Econometrics is currently edited by Daniel Monte

More articles in Brazilian Review of Econometrics from Sociedade Brasileira de Econometria - SBE Contact information at EDIRC.
Bibliographic data for series maintained by Núcleo de Computação da FGV EPGE ().

 
Page updated 2025-03-20
Handle: RePEc:sbe:breart:v:38:y:2019:i:2:a:31732