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

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Chen, X 
Yi, Y 

Abstract

© 2017 Elsevier B.V. This paper provides new identification results for the bid–ask spread and the nonparametric distribution of the latent fundamental price increments (ε t ) from the observed transaction prices alone. The results are established via the characteristic function approach, and hence allow for discrete or continuous ε t 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.

Description

Keywords

Bid-ask spread, Roll model, Semiparametric identification, Latent variables

Journal Title

Journal of Econometrics

Conference Name

Journal ISSN

0304-4076
1872-6895

Volume Title

200

Publisher

Elsevier BV