Why and How to Integrate Liquidity Risk into a VaR-Framework

International Review of Finance, 2010

CEFS Working Paper No. 2008-10

38 Pages Posted: 31 Oct 2008 Last revised: 22 Jun 2016

See all articles by Sebastian Stange

Sebastian Stange

Technische Universität München (TUM) - Chair of Business and International Financial Management

Christoph Kaserer

Technische Universität München (TUM)

Date Written: February 13, 2009

Abstract

We integrate liquidity risk measured by the weighted spread into a Value-at-Risk (VaR) framework. The weighted spread measure extracts liquidity costs by order size from the limit order book. We show that it is precise from a risk perspective in a wide range of clearly defined situations.

Using a unique, representative data set provided by Deutsche Boerse AG, we find liquidity risk to increase traditionally-measured price risk by over 25%, even at standard 10-day horizons and for liquid DAX stocks. We also show that the common approach of simply adding liquidity risk to price risk substantially overestimates total risk because correlation between liquidity and price is neglected. Our results are robust with respect to changes in risk measure, to sample periods and to effects of portfolio diversification.

Keywords: Asset liquidity, price impact, weighted spread, Xetra Liquidity Measure (XLM), Value-at-Risk, market liquidity risk

JEL Classification: G11, G12, G18, G32

Suggested Citation

Stange, Sebastian and Kaserer, Christoph, Why and How to Integrate Liquidity Risk into a VaR-Framework (February 13, 2009). International Review of Finance, 2010 , CEFS Working Paper No. 2008-10, Available at SSRN: https://ssrn.com/abstract=1292289

Sebastian Stange (Contact Author)

Technische Universität München (TUM) - Chair of Business and International Financial Management ( email )

Munich, 80290
Germany

Christoph Kaserer

Technische Universität München (TUM) ( email )

Arcisstr. 21
Munich, D-80290
Germany
+49 89 289 25489 (Phone)
+49 89 289 25488 (Fax)

HOME PAGE: http://www.cefs.de

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