Developing Price Discovery Measures Within a Volatility-Based Model (Third Draft)
Louisiana State University
10 26, 2012
I propose a model to uniquely and dynamically estimate a market’s information share. My model can also recover short run information flow’s effect on information share. After accounting for that effect, I propose a method to estimate the portion of information to which a market first reacts. The market that reacts quickly may not interpret well, as found in the subsequent study on Chinese stock index and index futures markets. The outcome suggests a dual role of liquidity. While high liquidity makes the futures market react faster to most of the information (62.5%), it also makes the futures prices noisier, and lower its contribution to information interpretation (34.4%).
Number of Pages in PDF File: 26
Keywords: price discovery, unique information share, time dependent information share, volatility spillover adjusted information share
JEL Classification: C32, C51, G13, G14
Date posted: November 9, 2011 ; Last revised: October 13, 2013