Drift in Transaction-Level Asset Price Models
Wen Cao (),
Clifford Hurvich and
Philippe Soulier ()
Additional contact information
Wen Cao: CIEE - College of Information and Electrical Engineering [Beijing] - CAU - China Agricultural University
Philippe Soulier: MODAL'X - Modélisation aléatoire de Paris X - UPN - Université Paris Nanterre - CNRS - Centre National de la Recherche Scientifique
Working Papers from HAL
Abstract:
We study the effect of drift in pure-jump transaction-level models for asset prices in continuous time, driven by point processes. The drift is as-sumed to arise from a nonzero mean in the efficient shock series. It follows that the drift is proportional to the driving point process itself, i.e. the cumulative number of transactions. This link reveals a mechanism by which properties of intertrade durations (such as heavy tails and long memory) can have a strong impact on properties of average returns, thereby poten-tially making it extremely difficult to determine long-term growth rates or to reliably detect an equity premium. We focus on a basic univariate model for log price, coupled with general assumptions on the point process that are satisfied by several existing flexible models, allowing for both long mem-ory and heavy tails in durations. Under our pure-jump model, we obtain the limiting distribution for the suitably normalized log price. This limiting distribution need not be Gaussian, and may have either finite variance or infinite variance. We show that the drift can affect not only the limiting dis-tribution for the normalized log price, but also the rate in the corresponding normalization. Therefore, the drift (or equivalently, the properties of dura-tions) affects the rate of convergence of estimators of the growth rate, and can invalidate standard hypothesis tests for that growth rate. As a rem-edy to these problems, we propose a new ratio statistic which behaves more
Keywords: Transaction-level asset prices modeling. Point processes. Heavy tails. Long memory; Transaction-level asset prices modeling. Point processes. Heavy tails. Long memory. (search for similar items in EconPapers)
Date: 2012-11-21
Note: View the original document on HAL open archive server: https://hal.science/hal-00756372v2
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://hal.science/hal-00756372v2/document (application/pdf)
Related works:
Journal Article: Drift in Transaction-Level Asset Price Models (2017) 
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:hal:wpaper:hal-00756372
DOI: 10.1111/jtsa.12235
Access Statistics for this paper
More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().