We study the long memory of order flow for each of three liquid currency pairs on a large electronic trading platform in the foreign exchange (FX) spot market. Due to the extremely high levels of market activity on the platform, and in contrast to existing empirical studies of other markets, our data enables us to perform statistically stable estimation without needing to aggregate data from different trading days. We find strong evidence of long memory, with a Hurst exponent of about 0.7, for each of the three currency pairs and on each trading day in our sample. We repeat our calculations using data that spans different trading days, and we find no significant differences in our results. We test and reject the hypothesis that the apparent...
Recent empirical studies have demonstrated long-memory in the signs of orders to buy or sell in fina...
WOS: 000263836100001The aim of this paper is to investigate the existense of long memory using daily...
8 pages, 7 figuresUsing more than 6.7 billions of trades, we explore how the tick-by-tick dynamics o...
We study the long memory of order flow for each of three liquid currency pairs on a large electronic...
For the London Stock Exchange we demonstrate that the signs of orders obey a long-memory process. Th...
For the London Stock Exchange we demonstrate that the signs of orders obey a long-memory process. Th...
In this study, we model realized volatility constructed from intra-day highfrequency data. We explor...
Recent empirical research has documented long-memories of trading volume, volatility, and order-sign...
This paper examines the effect that heterogeneous customer orders flows have on exchange rates by us...
[[abstract]]This study employs a new time series representation of persistence in conditional mean a...
The purpose of paper is to assess the long-term memory of stock index returns in the pan-European pl...
The purpose of paper is to assess the long-term memory of stock index returns in the pan-European pl...
We propose a new empirical specification of volatility that links volatility to the information flow...
A major issue in financial economics is the behavior of asset returns over long horizon as opposed t...
AbstractWe investigated the presence of, and changes in, long memory features in the returns and vol...
Recent empirical studies have demonstrated long-memory in the signs of orders to buy or sell in fina...
WOS: 000263836100001The aim of this paper is to investigate the existense of long memory using daily...
8 pages, 7 figuresUsing more than 6.7 billions of trades, we explore how the tick-by-tick dynamics o...
We study the long memory of order flow for each of three liquid currency pairs on a large electronic...
For the London Stock Exchange we demonstrate that the signs of orders obey a long-memory process. Th...
For the London Stock Exchange we demonstrate that the signs of orders obey a long-memory process. Th...
In this study, we model realized volatility constructed from intra-day highfrequency data. We explor...
Recent empirical research has documented long-memories of trading volume, volatility, and order-sign...
This paper examines the effect that heterogeneous customer orders flows have on exchange rates by us...
[[abstract]]This study employs a new time series representation of persistence in conditional mean a...
The purpose of paper is to assess the long-term memory of stock index returns in the pan-European pl...
The purpose of paper is to assess the long-term memory of stock index returns in the pan-European pl...
We propose a new empirical specification of volatility that links volatility to the information flow...
A major issue in financial economics is the behavior of asset returns over long horizon as opposed t...
AbstractWe investigated the presence of, and changes in, long memory features in the returns and vol...
Recent empirical studies have demonstrated long-memory in the signs of orders to buy or sell in fina...
WOS: 000263836100001The aim of this paper is to investigate the existense of long memory using daily...
8 pages, 7 figuresUsing more than 6.7 billions of trades, we explore how the tick-by-tick dynamics o...