dc.creatorde Genaro, Alan
dc.creatorAvellaneda, Marco
dc.date2019-01-04
dc.date.accessioned2022-11-03T21:19:24Z
dc.date.available2022-11-03T21:19:24Z
dc.identifierhttps://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/31732
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5048049
dc.descriptionIn 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.en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherSociedade Brasileira de Econometriaen-US
dc.relationhttps://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/31732/74745
dc.sourceBrazilian Review of Econometrics; Vol. 38 No. 2 (2018); 287-319en-US
dc.sourceBrazilian Review of Econometrics; v. 38 n. 2 (2018); 287-319pt-BR
dc.source1980-2447
dc.subjectHard-to-Borrowen-US
dc.subjectLeverage ETFen-US
dc.subjectSimulated Maximum Likelihooden-US
dc.subjectJumpsen-US
dc.subjectG12en-US
dc.subjectG23en-US
dc.subjectC15en-US
dc.titleDoes the Lending Rate Impact ETF's Prices?en-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


Este ítem pertenece a la siguiente institución