We study the multi-level order-flow imbalance (MLOFI), which is a vector quantity that measures the net flow of buy and sell orders at different price levels in a limit order book (LOB). Using a recent, high-quality data set for six liquid stocks on Nasdaq, we fit a simple, linear relationship between MLOFI and the contemporaneous change in mid-price. For all six stocks that we study, we find that the out-of-sample goodness-of-fit of the relationship improves with each additional price level that we include in the MLOFI vector. Our results underline how order-flow activity deep into the LOB can influence the price-formation process
Obtaining a unique limit order dataset provided by NYSE, we find there exits significant commonality...
We study the price impact of order book events- limit orders, market orders and can-celations- using...
We study the price impact of order flow in the world's largest soybean meal futures markets. Our int...
none3siIn financial markets, the order flow, defined as the process assuming value one for buy marke...
International audienceLatent order book models have allowed for significant progress in our understa...
We use high-frequency data from the Nasdaq exchange to build a measure of volume imbalance in the li...
We study the dynamics of the limit order book of liquid stocks after experiencing large intra-day pr...
We analyze the role of liquidity provision of limit order traders in the NYSE. Using an extensive li...
The limit order book is a device for storing demand and effecting trades that is the primary mechani...
A quasi-centralized limit order book (QCLOB) is a limit order book (LOB) in which financial institut...
We identify and analyze statistical regularities and irregularities in the recent order flow of diff...
We study the price impact of order book events - limit orders, market orders and cancelations - usin...
This paper presents a model of an order-driven market where fully strategic, symmetrically informed ...
A quasi-centralized limit order book (QCLOB) is a limit order book (LOB) in which financial institut...
Using unique data, we address the issue of price formation in a limit order market. A standard volum...
Obtaining a unique limit order dataset provided by NYSE, we find there exits significant commonality...
We study the price impact of order book events- limit orders, market orders and can-celations- using...
We study the price impact of order flow in the world's largest soybean meal futures markets. Our int...
none3siIn financial markets, the order flow, defined as the process assuming value one for buy marke...
International audienceLatent order book models have allowed for significant progress in our understa...
We use high-frequency data from the Nasdaq exchange to build a measure of volume imbalance in the li...
We study the dynamics of the limit order book of liquid stocks after experiencing large intra-day pr...
We analyze the role of liquidity provision of limit order traders in the NYSE. Using an extensive li...
The limit order book is a device for storing demand and effecting trades that is the primary mechani...
A quasi-centralized limit order book (QCLOB) is a limit order book (LOB) in which financial institut...
We identify and analyze statistical regularities and irregularities in the recent order flow of diff...
We study the price impact of order book events - limit orders, market orders and cancelations - usin...
This paper presents a model of an order-driven market where fully strategic, symmetrically informed ...
A quasi-centralized limit order book (QCLOB) is a limit order book (LOB) in which financial institut...
Using unique data, we address the issue of price formation in a limit order market. A standard volum...
Obtaining a unique limit order dataset provided by NYSE, we find there exits significant commonality...
We study the price impact of order book events- limit orders, market orders and can-celations- using...
We study the price impact of order flow in the world's largest soybean meal futures markets. Our int...