Portfolio Liquidation in Dark Pools in Continuous Time

We consider an illiquid financial market where a risk averse investor has to liquidate a portfolio within a finite time horizon [0, T] and can trade continuously at a traditional exchange (the “primary venue”) and in a dark pool. At the primary venue, trading yields a linear price impact. In the dark pool, no price impact costs arise but order execution is uncertain, modeled by a multidimensional Poisson process. We characterize the costs of trading by a linear‐quadratic functional which incorporates both the price impact costs of trading at the primary exchange and the market risk of the position. The solution of the cost minimization problem is characterized by a matrix differential equation with singular boundary condition; by means of stochastic control theory, we provide a verification argument. If a single‐asset position is to be liquidated, the investor slowly trades out of her position at the primary venue, with the remainder being placed in the dark pool at any point in time. For multi‐asset liquidations this is generally not the case; for example, it can be optimal to oversize orders in the dark pool in order to turn a poorly balanced portfolio into a portfolio bearing less risk.

[1]  Kuzman Ganchev,et al.  Censored exploration and the dark pool problem , 2009, UAI.

[2]  Bernt Øksendal,et al.  Partial Information Linear Quadratic Control for Jump Diffusions , 2008, SIAM J. Control. Optim..

[3]  Charles R. Johnson,et al.  Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.

[4]  Olivier Guéant,et al.  GENERAL INTENSITY SHAPES IN OPTIMAL LIQUIDATION , 2012, 1204.0148.

[5]  Peter Kratz,et al.  Optimal liquidation in dark pools , 2013 .

[6]  Duane J. Seppi,et al.  Episodic Liquidity Crises: Cooperative and Predatory Trading , 2007 .

[7]  Peter Kratz,et al.  Optimal liquidation in dark pools in discrete and continuous time , 2011 .

[8]  Price manipulation in a market impact model with dark pool , 2017 .

[9]  Marcel Höschler Limit order book models and optimal trading strategies , 2011 .

[10]  Nicholas Westray,et al.  Curve following in illiquid markets , 2011 .

[11]  Alexander Schied,et al.  Risk aversion and the dynamics of optimal liquidation strategies in illiquid markets , 2009, Finance Stochastics.

[12]  Hitesh Mittal,et al.  Are You Playing in a Toxic Dark Pool? , 2008 .

[13]  Julian Lorenz,et al.  Adaptive Arrival Price , 2007 .

[14]  A. Kyle Continuous Auctions and Insider Trading , 1985 .

[15]  Robert Huitema Optimal Portfolio Execution Using Market and Limit Orders , 2014 .

[16]  Mao Ye,et al.  A Glimpse into the Dark: Price Formation, Transaction Cost and Market Share of the Crossing Network , 2011 .

[17]  Sanford J. Grossman,et al.  Liquidity and Market Structure , 1988 .

[18]  O. Kallenberg Foundations of Modern Probability , 2021, Probability Theory and Stochastic Modelling.

[19]  P. Dooren Matrix Mathematics: Theory, Facts, and Formulas with Application to Linear Systems Theory [Book Review] , 2006 .

[20]  Huyên Pham,et al.  OPTIMAL HIGH‐FREQUENCY TRADING IN A PRO RATA MICROSTRUCTURE WITH PREDICTIVE INFORMATION , 2012, SSRN Electronic Journal.

[21]  Olivier Guéant,et al.  Optimal Portfolio Liquidation with Limit Orders , 2011, SIAM J. Financial Math..

[22]  Erhan Bayraktar,et al.  LIQUIDATION IN LIMIT ORDER BOOKS WITH CONTROLLED INTENSITY , 2011, ArXiv.

[23]  Gilles Pagès,et al.  Optimal Split of Orders Across Liquidity Pools: A Stochastic Algorithm Approach , 2009, SIAM J. Financial Math..

[24]  George Sofianos,et al.  Quantifying the SIGMA X Crossing Benefit , 2008 .

[25]  Robert Almgren,et al.  Optimal execution with nonlinear impact functions and trading-enhanced risk , 2003 .

[26]  W. Reid,et al.  Riccati Differential Equations , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[27]  Bruno Bouchard,et al.  Stochastic Target Problems with Controlled Loss , 2009, SIAM J. Control. Optim..

[28]  Alexander Schied,et al.  Optimal execution strategies in limit order books with general shape functions , 2007, 0708.1756.

[29]  Sunil Wahal,et al.  Institutional trading and alternative trading systems , 2003 .

[30]  Alexander Schied,et al.  Optimal Basket Liquidation for CARA Investors is Deterministic , 2010 .

[31]  Alexander Schied,et al.  Price manipulation in a market impact model with dark pool , 2011, 1205.4008.

[32]  R. Almgren,et al.  Direct Estimation of Equity Market Impact , 2005 .

[33]  Jutta A. Dönges,et al.  Crossing Network versus Dealer Market: Unique Equilibrium in the Allocation of Order Flow , 2013 .

[34]  Haim Mendelson,et al.  Crossing Networks and Dealer Markets: Competition and Performance , 2000 .

[35]  C. Carrie Illuminating the New Dark Influence on Trading and U.S. Market Structure , 2007 .

[36]  Bruno Bouchard,et al.  Generalized stochastic target problems for pricing and partial hedging under loss constraints—application in optimal book liquidation , 2013, Finance Stochastics.

[37]  Alexander Fadeev,et al.  Optimal execution for portfolio transactions , 2006 .

[38]  Peter Kratz,et al.  An explicit solution of a non-linear quadratic constrained stochastic control problem with an application to optimal liquidation in dark pools with adverse selection , 2012, 1204.2498.

[39]  D. Applebaum Lévy Processes and Stochastic Calculus: Preface , 2009 .

[40]  Alexander Schied,et al.  Liquidation in the Face of Adversity: Stealth vs. Sunshine Trading , 2007 .

[41]  D. Bertsimas,et al.  Optimal control of execution costs , 1998 .

[42]  Julian Lorenz,et al.  Adaptive Arrival Price; ; Trading; Algorithmic Trading III. Precision control, execution , 2007 .

[43]  Paul R. Milgrom,et al.  Bid, ask and transaction prices in a specialist market with heterogeneously informed traders , 1985 .

[44]  H. Degryse,et al.  Dynamic Order Submission Strategies with Competition between a Dealer Market and a Crossing Network , 2003 .

[45]  L. Rogers,et al.  THE COST OF ILLIQUIDITY AND ITS EFFECTS ON HEDGING , 2010 .

[46]  Floyd B. Hanson,et al.  Applied stochastic processes and control for jump-diffusions - modeling, analysis, and computation , 2007, Advances in design and control.