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High frequency market microstructure noise estimates and liquidity measures

Yacine A\"it-Sahalia and Jialin Yu
Authors registered in the RePEc Author Service: Yacine Ait-Sahalia

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Abstract: 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.

Date: 2009-06
New Economics Papers: this item is included in nep-fmk and nep-mst
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Published in Annals of Applied Statistics 2009, Vol. 3, No. 1, 422-457

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Working Paper: High Frequency Market Microstructure Noise Estimates and Liquidity Measures (2008) Downloads
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