In this paper, we try to explore the foreign exchange market microstructure with all transaction records in a day. Our data set,“EBS Market Data”,contains all the transaction in a day. EBS Market Data records all the transaction for 24 hours starting from 22:00:00 in previous day to next day. We apply Autoregressive Conditional Duration model for uneven spaced tick by tick foreign exchange rate. This data set enables us to use limit order data, market order data and exit information of limit order individually. Fact findings are as follows. New York market is the busiest no matter what kind of currencies dealers trade and regardless of the time of the day. Around half of limit orders of three currencies are cancelled. With ACD model, result...
Recent studies have documented that limit order revision and cancellation activities play an importa...
This thesis explores a class of models for modelling the time between trades, known as trade duratio...
This paper investigates the persistent pattern in the Helsinki Exchanges. The persistent pattern is ...
In this paper, we try to explore the foreign exchange market microstructure with all transaction rec...
With Ultra-High Frequent JPY against UDS rate data, we investigate the features of the market micros...
Most limit orders exit the market as cancellations or revisions without a transaction. Using the EBS...
This paper examines the intra-day seasonality of transacted limit and market orders in the DEM/USD f...
We examine investor order choices using evidence from a recent period when the NYSE trades in decima...
Purpose – Algorithmic trading attempts to reduce trading costs by se...
We present an empirical study of the first passage time (FPT) of order book prices needed to observe...
We study the long memory of order flow for each of three liquid currency pairs on a large electronic...
We study the long memory of order flow for each of three liquid currency pairs on a large electronic...
Despite their importance in modern electronic trading, virtually no systematic empirical evidence on...
This thesis focuses on the statistical modeling of the dynamics of limit order books in electronic e...
The aim of this paper is to model the trading intensity of the US Treasury bond market which has a u...
Recent studies have documented that limit order revision and cancellation activities play an importa...
This thesis explores a class of models for modelling the time between trades, known as trade duratio...
This paper investigates the persistent pattern in the Helsinki Exchanges. The persistent pattern is ...
In this paper, we try to explore the foreign exchange market microstructure with all transaction rec...
With Ultra-High Frequent JPY against UDS rate data, we investigate the features of the market micros...
Most limit orders exit the market as cancellations or revisions without a transaction. Using the EBS...
This paper examines the intra-day seasonality of transacted limit and market orders in the DEM/USD f...
We examine investor order choices using evidence from a recent period when the NYSE trades in decima...
Purpose – Algorithmic trading attempts to reduce trading costs by se...
We present an empirical study of the first passage time (FPT) of order book prices needed to observe...
We study the long memory of order flow for each of three liquid currency pairs on a large electronic...
We study the long memory of order flow for each of three liquid currency pairs on a large electronic...
Despite their importance in modern electronic trading, virtually no systematic empirical evidence on...
This thesis focuses on the statistical modeling of the dynamics of limit order books in electronic e...
The aim of this paper is to model the trading intensity of the US Treasury bond market which has a u...
Recent studies have documented that limit order revision and cancellation activities play an importa...
This thesis explores a class of models for modelling the time between trades, known as trade duratio...
This paper investigates the persistent pattern in the Helsinki Exchanges. The persistent pattern is ...