Show simple item record

dc.contributor.author Tauchen, G
dc.contributor.author Zhang, H
dc.contributor.author Liu, M
dc.date.accessioned 2010-03-09T15:29:16Z
dc.date.issued 1996-09-01
dc.identifier.citation Journal of Econometrics, 1996, 74 (1), pp. 177 - 208
dc.identifier.issn 0304-4076
dc.identifier.uri http://hdl.handle.net/10161/1897
dc.description.abstract This paper uses dynamic impulse response analysis to investigate the interrelationships among stock price volatility, trading volume, and the leverage effect. Dynamic impulse response analysis is a technique for analyzing the multi-step-ahead characteristics of a nonparametric estimate of the one-step conditional density of a strictly stationary process. The technique is the generalization to a nonlinear process of Sims-style impulse response analysis for linear models. In this paper, we refine the technique and apply it to a long panel of daily observations on the price and trading volume of four stocks actively traded on the NYSE: Boeing, Coca-Cola, IBM, and MMM.
dc.format.extent 177 - 208
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartof Journal of Econometrics
dc.relation.isversionof 10.1016/0304-4076(95)01755-0
dc.title Volume, volatility, and leverage: A dynamic analysis
dc.type Journal Article
dc.department Economics
pubs.issue 1
pubs.organisational-group /Duke
pubs.organisational-group /Duke/Trinity College of Arts & Sciences
pubs.organisational-group /Duke/Trinity College of Arts & Sciences/Economics
pubs.publication-status Published
pubs.volume 74

Files in this item

This item appears in the following Collection(s)

Show simple item record