A high-frequency analysis of price resolution and pricing barriers in equities on the adoption of a new currency

Christos Alexakis, Mark Cummins, Michael Dowling*, Vasileios Pappas

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

13 Downloads (Pure)

Abstract

We use ultra high frequency (trade by trade) data to demonstrate that equity price clustering and pricing predictability around psychologically important prices in Greece switches away from drachma-focused with the introduction of the euro, but does not immediately switch to euro-clustering. The change in trader price focus around the euro introduction addresses an open debate in the clustering literature on whether the presence of clustering is a bias related to the current prices or anchoring to past prices. Our findings of a decline in drachma clustering, but lack of switch to euro effects supports the case for clustering being a trading feature that is slow to transfer to new pricing regimes. A key advantage of the ultra high frequency dataset is we are also able to demonstrate the presence of psychological pricing barriers related to each currency that are not detectable in daily data.

Original languageEnglish
Pages (from-to)3949-3965
Number of pages17
JournalApplied Economics
Volume50
Issue number36
DOIs
Publication statusPublished - 2 Aug 2018

Funding

Vasileios Pappas gratefully acknowledges the support of the GOLCER research hub in Lancaster University. We also wish to thank Brian Lucey (Trinity College Dublin), and the very constructive anonymous referees for their comments which have significantly improved the paper.

Keywords

  • clustering
  • euro introduction
  • psychological barriers
  • transaction data
  • ultra high frequency (trade by trade) data

Fingerprint

Dive into the research topics of 'A high-frequency analysis of price resolution and pricing barriers in equities on the adoption of a new currency'. Together they form a unique fingerprint.

Cite this