We examine intraday execution quality patterns on Nasdaq stocks using proprietary order-level data from a U.S. broker dealer. Orders submitted midday execute slower than orders submitted around the open and close. However, midday orders have lower execution costs. Our results indicate that execution speed and execution cost exhibit offsetting intraday time-dependent patterns and these patterns appear to be induced by variations in informed trading levels. While some traders concentrate their trading activity around the open and close, others prefer to trade midday. Traders have varying preferences for when to trade, and offsetting patterns exist between speed and cost. These factors highlight the complexity in defining an optimal trading ti...
This article examines the intraday pattern of bid-ask spreads among NASDAQ stocks. We find that spre...
We show that the execution of market orders on the New-York Stock Exchange (NYSE) is not instantaneo...
This article examines the intraday pattern of bid-ask spreads among NASDAQ stocks. We find that spre...
Prior research indicates that both execution speed and cost are important to traders, but that these...
This study explores dynamic conditional and unconditional causality relations between intraday retur...
Microstructure literature suggests common factors in liquidity measures. However, research on the in...
Based on a comprehensive order flow data from the Taiwan stock market, this study examines directly ...
This paper presents a study of intra-day patterns of stock market activity and introduces duration b...
In a dynamic model of financial market trading multiple heterogeneously in-formed traders choose whe...
This study is the first to examine intraday variations in quoted depth on the Nasdaq, a competitive ...
Purpose – Algorithmic trading attempts to reduce trading costs by se...
The revolutionary technological and regulatory changes in financial markets over the first few years...
The behavior of time‐weighted bid‐ask spreads over the trading day are examined. The plot of minute‐...
We develop a dynamic model of limit order in an order-driven market, where traders differ in their s...
In this thesis we examine optimal execution models that take into account both market microstructure...
This article examines the intraday pattern of bid-ask spreads among NASDAQ stocks. We find that spre...
We show that the execution of market orders on the New-York Stock Exchange (NYSE) is not instantaneo...
This article examines the intraday pattern of bid-ask spreads among NASDAQ stocks. We find that spre...
Prior research indicates that both execution speed and cost are important to traders, but that these...
This study explores dynamic conditional and unconditional causality relations between intraday retur...
Microstructure literature suggests common factors in liquidity measures. However, research on the in...
Based on a comprehensive order flow data from the Taiwan stock market, this study examines directly ...
This paper presents a study of intra-day patterns of stock market activity and introduces duration b...
In a dynamic model of financial market trading multiple heterogeneously in-formed traders choose whe...
This study is the first to examine intraday variations in quoted depth on the Nasdaq, a competitive ...
Purpose – Algorithmic trading attempts to reduce trading costs by se...
The revolutionary technological and regulatory changes in financial markets over the first few years...
The behavior of time‐weighted bid‐ask spreads over the trading day are examined. The plot of minute‐...
We develop a dynamic model of limit order in an order-driven market, where traders differ in their s...
In this thesis we examine optimal execution models that take into account both market microstructure...
This article examines the intraday pattern of bid-ask spreads among NASDAQ stocks. We find that spre...
We show that the execution of market orders on the New-York Stock Exchange (NYSE) is not instantaneo...
This article examines the intraday pattern of bid-ask spreads among NASDAQ stocks. We find that spre...