"Does it take volume to move fx rates?" Evidence from quantile regressions

Journal Title: Dynamic Econometric Models - Year 2012, Vol 12, Issue 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 (anticipated) 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 explanatory factor for the quantile dynamics, the impact of the expected volume declines yet remains significant especially for the most extreme quantiles.

Authors and Affiliations

Katarzyna Bień-Barkowska

Keywords

Related Articles

Application of the Family of Sign RCA Models for Obtaining the Selected Risk Measures

Accurate modelling of risk is very important in finance. There are many alternative risk measures, however none of them is dominating. This paper proposes to use the family of Sign RCA models to obtain the Value-at-Risk...

Non-Classical Measures of Investment Risk on the Market of Precious Non-Ferrous Metals Using the Methodology of Stable Distributions

The aim of this article is to present some non-classical risk measures which are commonly used in financial investments, including investments in assets from the market of precious non-ferrous metals. The time series of...

Forecasting Financial Processes by Using Diffusion Models

Time series forecasting is one of the most important issues in the financial econometrics. In the face of growing interest in models with continuous time, as well as rapid development of methods of their estimation, we t...

Application of Modified POT Method with Volatility Model for Estimation of Risk Measures

The main aim of this paper is the presentation and empirical analysis of the new approach which combines volatility models with Peaks over Threshold method that comes from extreme value theory. The new approach is applie...

Information and Prediction Criteria in Selecting the Forecasting Model

The purpose of the paper it to compare the performance of both information and prediction criteria in selecting the forecasting model on empirical data for Poland when the data generating model is unknown. The attention...

Download PDF file
  • EP ID EP98425
  • DOI -
  • Views 166
  • Downloads 0

How To Cite

Katarzyna Bień-Barkowska (2012). "Does it take volume to move fx rates?" Evidence from quantile regressions. Dynamic Econometric Models, 12(1), 35-52. https://europub.co.uk/articles/-A-98425