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Price informativeness and predictability: how liquidity can help

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Abstract:

Information asymmetry and liquidity concentration has been widely discussed in literatures. This study shows how liquidity influences not only forecasting performances of term structure estimation, but also information transmission and price adjustment across markets. Our analysis helps understanding how extreme market movements affect one another. This study examines, and provides a rationale for incorporating, liquidity in estimating term structure. Forecasting performance can be greatly enhanced when conditioning on trading liquidity. It reduces information asymmetry in the sense of Easley and O’Hara (2004) and Burlacu et al. (2007). We adopt a time series forecasting model following Diebold and Li (2006) to compare behaviour of forecasted price errors. Our findings indicate that forecasted price errors in markets with less depth would influence those with more. Information asymmetry induces volatile trading first and then price adjustment is transmitted to another market due to insufficient market depth. Cross-market price adjustment could be as much as 21 bps on average. Compared with previous studies, our results establish a valid reason to condition on liquidity when forecasting prices.

Document Type: Research Article

DOI: https://doi.org/10.1080/00036840903153812

Affiliations: 1: Department of Banking and Finance,Tamkang University, Taipei, Taiwan 2: Department of Finance,Ling Tung University, Taipei, Taiwan 3: Taiwan Academy of Banking and Finance, Taipei, Taiwan

Publication date: 2011-07-01

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