{"title":"“Does It Take Volume to Move the EUR/PLN FX Rates?” Evidence from Quantile Regressions","authors":"K. Bień-Barkowska","doi":"10.12775/DEM.2012.003","DOIUrl":null,"url":null,"abstract":"This study investigates the impact of trading volume on selected quantiles of the EUR/PLN return distribution. Empirical results obtained with the quantile regression approach confirm that an increase in the turnover is associated with a significant increase in the dispersion of the corresponding return distribution. We divided the trading volume into its expected (antici-pated) and unexpected (unanticipated) component and found that the unexpected volume shocks have a significantly larger impact on the dispersion of the return distribution. We also observed that the volume-return relationship is nonlinear; the dependence is stronger with more extreme quantiles. Moreover, after accounting for a conditional volatility measure as a controlling explan-atory factor for the quantile dynamics, the impact of the expected volume declines yet remains significant especially for the most extreme quantiles.","PeriodicalId":31914,"journal":{"name":"Dynamic Econometric Models","volume":"12 1","pages":"35-52"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Dynamic Econometric Models","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.12775/DEM.2012.003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This study investigates the impact of trading volume on selected quantiles of the EUR/PLN return distribution. Empirical results obtained with the quantile regression approach confirm that an increase in the turnover is associated with a significant increase in the dispersion of the corresponding return distribution. We divided the trading volume into its expected (antici-pated) and unexpected (unanticipated) component and found that the unexpected volume shocks have a significantly larger impact on the dispersion of the return distribution. We also observed that the volume-return relationship is nonlinear; the dependence is stronger with more extreme quantiles. Moreover, after accounting for a conditional volatility measure as a controlling explan-atory factor for the quantile dynamics, the impact of the expected volume declines yet remains significant especially for the most extreme quantiles.