Foreign Exchange Volume

A-Tier
Journal: The Review of Financial Studies
Year: 2022
Volume: 35
Issue: 5
Pages: 2386-2427

Authors (4)

Giovanni Cespa (not in RePEc) Antonio Gargano (not in RePEc) Steven J Riddiough (not in RePEc) Lucio Sarno (University of Cambridge)

Score contribution per author:

1.005 = (α=2.01 / 4 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

We investigate the information contained in foreign exchange (FX) volume using a novel data set from the over-the-counter market. We find volume helps predict next-day currency returns and is economically valuable for currency investors. Predictability implies a stronger return reversal for currency pairs with abnormally low volume and is driven by the component of volume unrelated to volatility, liquidity, and order flow. We rationalize these findings via a simple model, in which FX volume helps reveal the degree of asymmetric information in currency markets. Testing this prediction shows that asymmetric information is uniform across currency pairs but varies across instruments.

Technical Details

RePEc Handle
repec:oup:rfinst:v:35:y:2022:i:5:p:2386-2427.
Journal Field
Finance
Author Count
4
Added to Database
2026-01-25