{"title":"Behind Stock Price Movement: Supply and Demand in Market Microstructure and Market Influence","authors":"Jingle Liu, Sanghyun Park","doi":"10.3905/jot.2015.10.3.013","DOIUrl":null,"url":null,"abstract":"This article studies explanatory factors for short-term stock price movement in the U.S. equity market by exploiting the relationship among liquidity supply, liquidity demand, and market movement. Liquidity provision and taking activities at the market-microstructure level are quantitatively measured by central limit order book imbalance and trade imbalance. The authors find that a multivariate linear model, fitted on empirical results of 42 individual U.S. stocks, is able to explain up to 78% of stock movement in short time intervals, with its explanatory powers and model coefficients varying with the length of interval ranging from 30 seconds to 1 hour. This study offers insight in quantifying supply-demand dynamics in market microstructure and provides meaningful ways for trading algorithms to minimize the market impact of orders and maximize liquidity extraction.","PeriodicalId":254660,"journal":{"name":"The Journal of Trading","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Journal of Trading","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3905/jot.2015.10.3.013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
This article studies explanatory factors for short-term stock price movement in the U.S. equity market by exploiting the relationship among liquidity supply, liquidity demand, and market movement. Liquidity provision and taking activities at the market-microstructure level are quantitatively measured by central limit order book imbalance and trade imbalance. The authors find that a multivariate linear model, fitted on empirical results of 42 individual U.S. stocks, is able to explain up to 78% of stock movement in short time intervals, with its explanatory powers and model coefficients varying with the length of interval ranging from 30 seconds to 1 hour. This study offers insight in quantifying supply-demand dynamics in market microstructure and provides meaningful ways for trading algorithms to minimize the market impact of orders and maximize liquidity extraction.