High Frequency Market Microstructure Noise Estimates and Liquidity Measures
Princeton University - Department of Economics; National Bureau of Economic Research (NBER)
Columbia Business School - Finance and Economics
Annals of Applied Statistics, Vol. 3, No. 1, pp. 422-457, 2009
Using recent advances in the econometrics literature, we disentangle from high frequency observations on the transaction prices of a large sample of NYSE stocks a fundamental component and a microstructure noise component. We then relate these statistical measurements of market microstructure noise to observable characteristics of the underlying stocks, and in particular to different financial measures of their liquidity. We find that more liquid stocks based on financial characteristics have lower noise and noise-to-signal ratio measured from their high frequency returns. We then examine whether there exists a common, market-wide, factor in high frequency stock-level measurements of noise, and whether that factor is priced in asset returns.
Number of Pages in PDF File: 36Accepted Paper Series
Date posted: October 27, 2011
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