Using a comprehensive high-frequency foreign exchange dataset, we present evidence of time-of-day effects in foreign exchange returns through a significant tendency for currencies to depreciate during local trading hours. We confirm this pattern across a range of currencies and time zones. We...

Despite the growing adoption of decentralized exchanges, little is known about their market quality. Using a comprehensive dataset, we compare decentralized blockchain-based venues (DEXs) to centralized crypto exchanges (CEXs) assessing two aspects of market quality: price efficiency and market...

A key issue raised by the rapid growth of computerised algorithmic trading is how it responds in extreme situations. Using data on foreign exchange orders and transactions that includes identification of algorithmic trading, we find that this type of trading contributed to the deterioration of...

This work studies the information content of trades in the world's largest over-the-counter(OTC) market, the foreign exchange (FX) market. It analyses a novel, comprehensiveorder flow dataset, distinguishing amongst different groups of market participantsand covering a large cross-section of...

A key issue for decentralised markets like FX is how the market responds to extreme situations. Using data on FX transactions with a precise identification of Algorithmic trading (AT), we find that AT, broadly defined, appears to have contributed to the deterioration of market quality following...