The classical price impact model of Almgren and Chriss is extended to incorporate the uncertainty of order fills. The extended model can be recast as alternatives to uncertain impact models and stochastic liquidity models. Optimal strategies are determined by maximizing the expected final profit and loss (P&L) and various P&L-risk tradeoffs including utility maximization. Closed form expressions for optimal strategies are obtained in linear cases. The results suggest a type of adaptive volume weighted average price, adaptive percentage of volume and adaptive Almgren-Chriss strategies. VWAP and classical Almgren-Chriss strategies are recovered as limiting cases with a different characteristic time scale of liquidation for the latter....
Market making and optimal portfolio liquidation in the context of electronic limit order books are o...
In the present work we compute the optimal liquidation strategy for an investor who intends to entir...
Trading large volumes of a nancial asset in order driven markets requires the use of algorithmic ex...
In this paper we explore optimal liquidation in a market populated by a number of heterogeneous mark...
In this paper, we explore optimal liquidation in a market populated by a number of heterogeneous mar...
ABSTRACTThis paper suggests an optimal execution strategy to minimize expectedcost of a large size o...
We study a linear price impact model including other liquidity takers, whose flow of orders either f...
We provide an explicit closed-form strategy for an investor who executes a large order when market o...
We consider an investor that trades continuously and wants to liquidate an initial asset position wi...
We examine optimal execution models that take into account both market mi-crostructure impact and in...
In order to liquidate a large position in an asset, investors face a tradeoff between price volatili...
In the seminal paper on optimal execution of portfolio transactions, Almgren and Chriss (2001) defin...
The optimal placement problem studies how to optimally place orders in a limit order book to purchas...
This paper analyzes order placement strategies in a limit order market. Traders submitting market or...
In this thesis we examine optimal execution models that take into account both market microstructure...
Market making and optimal portfolio liquidation in the context of electronic limit order books are o...
In the present work we compute the optimal liquidation strategy for an investor who intends to entir...
Trading large volumes of a nancial asset in order driven markets requires the use of algorithmic ex...
In this paper we explore optimal liquidation in a market populated by a number of heterogeneous mark...
In this paper, we explore optimal liquidation in a market populated by a number of heterogeneous mar...
ABSTRACTThis paper suggests an optimal execution strategy to minimize expectedcost of a large size o...
We study a linear price impact model including other liquidity takers, whose flow of orders either f...
We provide an explicit closed-form strategy for an investor who executes a large order when market o...
We consider an investor that trades continuously and wants to liquidate an initial asset position wi...
We examine optimal execution models that take into account both market mi-crostructure impact and in...
In order to liquidate a large position in an asset, investors face a tradeoff between price volatili...
In the seminal paper on optimal execution of portfolio transactions, Almgren and Chriss (2001) defin...
The optimal placement problem studies how to optimally place orders in a limit order book to purchas...
This paper analyzes order placement strategies in a limit order market. Traders submitting market or...
In this thesis we examine optimal execution models that take into account both market microstructure...
Market making and optimal portfolio liquidation in the context of electronic limit order books are o...
In the present work we compute the optimal liquidation strategy for an investor who intends to entir...
Trading large volumes of a nancial asset in order driven markets requires the use of algorithmic ex...