Estimation of VWAP in the Korean Stock Market and its Implications

Abstract

This paper conducts an empirical analysis for the estimations of volume-weighted price of the Korean stock market and provides the implications of the estimation errors regarding the characteristics of the market and the corresponding securities. We employ fast Fourier transformation strategy and traditional simple average strategy and compare the performances of the two methods using five minute interval intra-day data of KOSPI50 stocks. Estimations errors of the two methods from Ex Post real VWAP are computed and the relationships between the errors and other market variables are examined. We find that larger market value leads to smaller error whereas average trading in dollar has negative relationship with the estimation error. We also look at the behavior of institutional traders and the order execution mechanism to explain our statistical findings.