EconPapers    
Economics at your fingertips  
 

An Improved Version of the Volume-Synchronized Probability of Informed Trading

Wen-Chyan Ke and Hsiou-Wei William Lin

Critical Finance Review, 2017, vol. 6, issue 2, 357-376

Abstract: This study provides a theoretical basis for the transformation of the probability of informed trading model to the volume-synchronized probability of informed trading (VPIN) setting based on volume buckets. Building on Easley et al. (2011, 2012b), who derive the VPIN metric and provide evidence of its usefulness, we expand the analytical basis of the model and clarify its derivation. We show mathematically that Easley et al.’s VPIN metric becomes unstable for small volume buckets and for infrequent informed trades. In contrast, we use a maximum likelihood estimation to capture the information in volume time, and as a result our improved VPIN mathematical model generates consistent estimates. We also show that the volume time measure helps improve the predictability of VPIN for the flow toxicity.

Keywords: VPIN; PIN; High-frequency trading; Order flow toxicity (search for similar items in EconPapers)
JEL-codes: C13 C51 C52 G12 G14 (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://dx.doi.org/10.1561/104.00000046 (application/xml)

Related works:
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:now:jnlcfr:104.00000046

Access Statistics for this article

More articles in Critical Finance Review from now publishers
Bibliographic data for series maintained by Lucy Wiseman ().

 
Page updated 2025-03-19
Handle: RePEc:now:jnlcfr:104.00000046