Semiparametric identification of the bid–ask spread in extended Roll models

Xiaohong Chen (), Oliver Linton and Yanping Yi

Journal of Econometrics, 2017, vol. 200, issue 2, 312-325

Abstract: This paper provides new identification results for the bid–ask spread and the nonparametric distribution of the latent fundamental price increments (εt) from the observed transaction prices alone. The results are established via the characteristic function approach, and hence allow for discrete or continuous εt and the observed price increments do not need to have any finite moments. Constructive identification (and overidentification) results are established first in the basic Roll (1984) model, and then in various extended Roll models, including general unbalanced order flow, serially dependent latent trade direction indicators, adverse selection, random spread and a multivariate Roll model.

Keywords: Bid–ask spread; Roll model; Semiparametric identification; Latent variables (search for similar items in EconPapers)
JEL-codes: C12 C13 C14 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:200:y:2017:i:2:p:312-325

DOI: 10.1016/j.jeconom.2017.06.013

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