6 research outputs found
The accuracy of trade classification systems on the foreign exchange market : evidence from the RUB/USD market
To the best of our knowledge we are the first to test a broad set of trade classification rules on the foreign exchange interbank market. A unique data set on the Russian Rouble/US Dollar trade includes the true trade initiator. The modified EMO (Ellis, Michaely and O’Hara) rule is currently the best choice at classifying trades. When quote data is not present, the tick rule yields a considerably lower accuracy. Yearly variations in the accuracy can be attributed to the difference in the location where trades occurred. Not surprisingly, trades executed at the quotes are the most informative
Intraday momentum in FX markets : disentangling informed trading from liquidity provision
We examine the likely drivers of intraday momentum, defined as a significantly positive relation between the first half-hour and the last half-hour return, in a foreign exchange market with explicit trading hours. Using transaction-level data from the Moscow Interbank Currency Exchange on the RUB-USD currency pair for the 2005-2014 period, our results suggest that intraday momentum in the ruble market is induced by risk aversion to overnight holdings among liquidity providers. In addition, our results complement earlier findings that suggest that market concentration due to trading hours matters for intraday momentum and that the effect is more pronounced during financial crises