Identifying Expensive Trades by Monitoring the Limit Order Book

This paper provides an analysis of the impact of microstructure variables on the transaction costs for split orders on 171 Euronext large cap stocks. First, using the adaptive Lasso selection method, we conduct an exploratory study to identify which microstructure variables best explain the transact...

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Published in:Journal of forecasting 2017-04, Vol.36 (3), p.273-290
Main Authors: Detollenaere, Benoit, D'hondt, Catherine
Format: Article
Language:English
Subjects:
Forecasting
Large cap investments
Lasso
limit order book
Securities trading
split orders
Transaction costs
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description This paper provides an analysis of the impact of microstructure variables on the transaction costs for split orders on 171 Euronext large cap stocks. First, using the adaptive Lasso selection method, we conduct an exploratory study to identify which microstructure variables best explain the transaction costs of split orders. Then, we propose an ordinal logistic model to classify ex ante transaction costs into buckets. Our empirical work demonstrates that our model performs very well both in‐sample and out‐of‐sample. All the findings show that microstructure information is of great importance for any investor who attempts to manage the execution of split orders throughout the day. Copyright © 2016 John Wiley & Sons, Ltd.
doi_str_mv 10.1002/for.2422
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source International Bibliography of the Social Sciences (IBSS); Business Source Ultimate; Wiley-Blackwell Read & Publish Collection
subjects Forecasting
Large cap investments
Lasso
limit order book
Securities trading
split orders
Transaction costs
title Identifying Expensive Trades by Monitoring the Limit Order Book
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