EconPapers    
Economics at your fingertips  
 

How large is liquidity risk in an automated auction market?

Pierre Giot () and Joachim Grammig ()
Additional contact information
Pierre Giot: University of Namur
Joachim Grammig: University of Tübingen

A chapter in High Frequency Financial Econometrics, 2008, pp 111-131 from Springer

Abstract: We introduce a new empirical methodology that models liquidity risk over short time periods for impatient traders who submit market orders. Using Value-at-Risk type measures, we quantify the liquidity risk premia for portfolios and individual stocks traded on the automated auction market Xetra. The specificity of our approach relies on the adequate econometric modelling of the potential price impact incurred by the liquidation of a portfolio. We study the sensitivity of liquidity risk towards portfolio size and traders' time horizon, and interpret its diurnal variation in the light of market microstructure theory.

Keywords: Limit Order; Price Impact; Order Book; Liquidity Risk; Portfolio Size (search for similar items in EconPapers)
Date: 2008
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:stecpp:978-3-7908-1992-2_6

Ordering information: This item can be ordered from
http://www.springer.com/9783790819922

DOI: 10.1007/978-3-7908-1992-2_6

Access Statistics for this chapter

More chapters in Studies in Empirical Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-22
Handle: RePEc:spr:stecpp:978-3-7908-1992-2_6