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.
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Giot, P., Grammig, J. (2008). How large is liquidity risk in an automated auction market?. In: Bauwens, L., Pohlmeier, W., Veredas, D. (eds) High Frequency Financial Econometrics. Studies in Empirical Economics. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1992-2_6
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