Abstract
This chapter deals with the modeling of asset liquidity. One aspect of liquidity includes the price impact involved in acquiring or liquidating a position. Our objective is to study the interaction between the trading strategy of a large investor, the asset price process, and liquidity in one single setup. There is a growing number of theoretical papers investigating the interaction of liquidity and trading strategies of large investors. Part of this literature considers optimal liquidation strategies for large portfolios, for instance Dubil [17], and Almgren and Chriss [1]. Recently, research has focused more and more on the modeling and hedging aspects that are introduced by liquidity and the presence of large traders. Cvitanić and Ma [14], Frey [22], Frey and Patie [23], and Liu and Yong [31] consider liquidity as an exogenously given source of risk. Frey and Stremme [25], Kampovsky and Trautmann [29], Papanicolaou and Sircar [34], and Schönbucher and Wilmott [38] serve as prominent examples taking into account equilibrium setups.
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To be precise, for non-monotonic functions ρ(S) the specification of the dynamics of ρ must be slightly more general such that the drift and diffusion coefficients are allowed to depend additionally on S.
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© 2004 Springer-Verlag Berlin Heidelberg
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Esser, A. (2004). Modeling Feedback Effects Using Stochastic Liquidity. In: Pricing in (In)Complete Markets. Lecture Notes in Economics and Mathematical Systems, vol 537. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17065-2_5
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DOI: https://doi.org/10.1007/978-3-642-17065-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20817-4
Online ISBN: 978-3-642-17065-2
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