EconPapers    
Economics at your fingertips  
 

High Frequency Market Microstructure Noise Estimates and Liquidity Measures

Yacine Ait-Sahalia and Jialin Yu

No 13825, NBER Working Papers from National Bureau of Economic Research, Inc

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.

JEL-codes: C22 G12 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-fmk and nep-mst
Date: 2008-02
Note: AP
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (2) Track citations by RSS feed

Published as Ait-Sahalia, Yacine and Jialin Yu "High Frequency Market Microstructure Noise Estimates and Liquidity Measures," Annals of Applied Statistics, 2009, 3, 422-457.

Downloads: (external link)
http://www.nber.org/papers/w13825.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:13825

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w13825

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Series data maintained by ().

 
Page updated 2017-09-29
Handle: RePEc:nbr:nberwo:13825