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A reinforcement learning extension to the Almgren-Chriss framework for optimal trade execution
12 references·9 citing·43 second hop
A reinforcement learning extension to the Almgren-Chriss framework for optimal trade execution (2014)A reinforcement learning extension to the…Reinforcement learning for optimized trade execution (2006)Reinforcement learning for op…Optimal Liquidity Trading (2005)Optimal Liquidity TradingAggressive Orders and the Resiliency of a Limit Order Market (2005)Aggressive Orders and the Res…Optimal execution with nonlinear impact functions and trading-enhanced risk (2003)Optimal execution with nonlin…Strategic Trading in a Dynamic Noisy Market (2001)Strategic Trading in a Dynami…Optimal execution of portfolio transactions (2001)Optimal execution of portfoli…Optimal control of execution costs (1998)Optimal control of execution …The Behavior of Stock Prices Around Institutional Trades (1995)The Behavior of Stock Prices …Periodic market closure and trading volume (1992)Periodic market closure and t…Large-block transactions, the speed of response, and temporary and permanent stock-price effects (1990)Large-block transactions, the…The implementation shortfall (1988)The implementation shortfallA Theory of Intraday Patterns: Volume and Price Variability (1988)A Theory of Intraday Patterns…A Review of Reinforcement Learning in Financial Applications (2024)A Review of Reinforcement Lea…Universal Trading for Order Execution with Oracle Policy Distillation (2021)Universal Trading for Order E…Reinforcement Learning Approaches to Optimal Market Making (2021)Reinforcement Learning Approa…Recent Advances in Reinforcement Learning in Finance (2021)Recent Advances in Reinforcem…Machine Learning for Active Portfolio Management (2021)Machine Learning for Active P…Deep reinforcement learning for the optimal placement of cryptocurrency limit orders (2021)Deep reinforcement learning f…An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization (2020)An End-to-End Optimal Trade E…Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis (2019)Multi-Agent Deep Reinforcemen…Sequential Decision Making With Coherent Risk (2016)Sequential Decision Making Wi…Continuous Auctions and Insider Trading (1985)Stochastic Differential Equations (2003)Stochastic Integration and Differential Equations (2005)Intraday Patterns in the Cross‐section of Stock Returns (2010)THE COST OF ILLIQUIDITY AND ITS EFFECTS ON HEDGING (2010)Optimal Portfolio Liquidation with Limit Orders (2012)A Theory of the Term Structure of Interest Rates (1985)Bid, ask and transaction prices in a specialist market with heterogeneously informed traders (1985)Trading Patterns and Prices in the Interbank Foreign Exchange Market (1993)High frequency data in financial markets: Issues and applications (1997)Price Discovery and Trading After Hours (2003)Common stock repurchases (1981)Inefficiency in Analysts' Earnings Forecasts: Systematic Misreaction or Systematic Optimism? (1999)Does Algorithmic Trading Improve Liquidity? (2011)60 Years of portfolio optimization: Practical challenges and current trends (2013)Dynamic Trading with Predictable Returns and Transaction Costs (2013)Efficient Capital Markets: II (1991)Inferring Trade Direction from Intraday Data (1991)Presidential Address: Friction (2000)The Value of Active Mutual Fund Management: An Examination of the Stockholdings and Trades of Fund Managers (2000)Stealth-trading: Which traders' trades move stock prices? (2001)Lifetime Portfolio Selection under Uncertainty: The Continuous-Time Case (1969)Common factors in prices, order flows, and liquidity (2001)Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market (2014)Price, trade size, and information in securities markets (1987)Socially Irresponsible and Illegal Behavior and Shareholder Wealth (1997)Price Pressure around Mergers (2004)IQ, trading behavior, and performance (2011)Coherent Measures of Risk (1999)Direct Estimation of Equity Market Impact (2005)Risk aversion and the dynamics of optimal liquidation strategies in illiquid markets (2008)Optimal execution strategies in limit order books with general shape functions (2009)Information Effects on the Bid-Ask Spread (1983)An Exact Solution to a Dynamic Portfolio Choice Problem under Transactions Costs (1991)Market vs. Limit Orders: The SuperDOT Evidence on Order Submission Strategy (1996)Issues in assessing trade execution costs (2003)A Subordinated Stochastic Process Model with Finite Variance for Speculative Prices (1973)Measuring the Information Content of Stock Trades (1991)ARCH modeling in finance (1992)Investor Psychology and Security Market Under‐ and Overreactions (1998)Improving financial trading decisions using deep Q-learning: Predicting the number of shares, action strategies, and transfer learning (2018)DeepLOB: Deep Convolutional Neural Networks for Limit Order Books (2019)Recent advances in reinforcement learning in finance (2023)
this work references cited by second hop

References

  • 1988A Theory of Intraday Patterns: Volume and Price Variability3,120 cited
  • 2001Optimal execution of portfolio transactions1,598 cited
  • 1998Optimal control of execution costs1,056 cited
  • 1995The Behavior of Stock Prices Around Institutional Trades794 cited
  • 2003Optimal execution with nonlinear impact functions and trading-enhanced risk466 cited
  • 1988The implementation shortfall441 cited
  • 1990Large-block transactions, the speed of response, and temporary and permanent stock-price effects430 cited
  • 1992Periodic market closure and trading volume426 cited
  • 2006Reinforcement learning for optimized trade execution267 cited
  • 2005Optimal Liquidity Trading211 cited
  • 2001Strategic Trading in a Dynamic Noisy Market143 cited
  • 2005Aggressive Orders and the Resiliency of a Limit Order Market106 cited

Cited by

  • 2021Recent Advances in Reinforcement Learning in Finance62 cited
  • 2016Sequential Decision Making With Coherent Risk62 cited
  • 2021Deep reinforcement learning for the optimal placement of cryptocurrency limit orders53 cited

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2020
An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization
42 cited
  • 2021Machine Learning for Active Portfolio Management37 cited
  • 2021Universal Trading for Order Execution with Oracle Policy Distillation33 cited
  • 2019Multi-Agent Deep Reinforcement Learning for Liquidation Strategy Analysis32 cited
  • 2021Reinforcement Learning Approaches to Optimal Market Making30 cited
  • 2024A Review of Reinforcement Learning in Financial Applications30 cited