Adaptive Execution: Exploration and Learning of Price Impact

Published Online:https://doi.org/10.1287/opre.2015.1415

References

  • Abbasi-Yadkori Y, Szepesvári C (2010) Regret bounds for the adaptive control of linear quadratic systems. Proc. 24th Annual Conf. Learn. Theory, Vol. 19 (JMLR), 1–26.Google Scholar
  • Abbasi-Yadkori Y, Pal D, Szepesvári C (2011) Online least squares estimation with self-normalized processes: An application to bandit problems. Working paper, Queensland University of Technology, Brisbane, Australia.Google Scholar
  • Alfonsi A, Schied A, Schulz A (2010) Optimal execution strategies in limit order books with general shape functions. Quant. Finance 10:143–157.CrossrefGoogle Scholar
  • Almgren R, Chriss N (2000) Optimal control of portfolio transactions. J. Risk 3:5–39.Google Scholar
  • Ang A, Timmermann A (2011) Regime changes and financial markets. Annual Rev. Financial Econom. 4:313–337.CrossrefGoogle Scholar
  • Bertsimas D, Lo AW (1998) Optimal control of execution costs. J. Financial Markets 1:1–50.CrossrefGoogle Scholar
  • Bouchaud J, Gefen Y, Potters M, Wyart M (2004) Fluctuations and response in financial markets: The subtle nature of “random” price changes. Quant. Finance 4:176–190.CrossrefGoogle Scholar
  • Brown D, Smith JE (2011) Dynamic portfolio optimization with transaction costs: Heuristics and dual bounds. Management Sci. 57(10):1752–1770.LinkGoogle Scholar
  • Chen H, Guo L (1986) Convergence rate of least squares identification and adaptive control for stochastic systems. Internat. J. Control 44:1459–1476.CrossrefGoogle Scholar
  • Cont R, Kukanov A, Stoikov S (2012) The price impact of order book events. J. Financial Econometrics 12(1):47–88.CrossrefGoogle Scholar
  • Dufour A, Engle RF (2000) Time and the price impact of a trade. J. Finance 55(6):2467–2498.CrossrefGoogle Scholar
  • Garleanu N, Pedersen LH (2014) Dynamic trading with predictable returns and transaction costs. J. Finance 68(6):2309–2340.CrossrefGoogle Scholar
  • Gatheral J (2010) No-dynamic-arbitrage and market impact. Quant. Finance 10:749–759.CrossrefGoogle Scholar
  • Hasbrouck J (1991) Measuring the information content of stock trades. J. Finance 46(1):179–207.CrossrefGoogle Scholar
  • Huberman G, Stanzl W (2004) Price manipulation and quasi-arbitrage. Econometrica 74(4):1247–1276.CrossrefGoogle Scholar
  • Kissell R, Glantz M (2003) Optimal Trading Strategies: Quantitative Approaches for Managing Market Impact and Trading Risk (Amacom Books, New York).Google Scholar
  • Kyle AS (1985) Continuous auctions and insider trading. Econometrica 53(6):1315–1335.CrossrefGoogle Scholar
  • Lai TL, Wei C (1982) Least squares estimates in stochastic regression models with applications to identification and control of dynamic systems. Ann. Statist. 10:154–166.CrossrefGoogle Scholar
  • Lai TL, Wei C (1986) Extended least squares and their applications to adaptive control and prediction in linear systems. IEEE Trans. Automatic Control 31:898–906.CrossrefGoogle Scholar
  • Moallemi CC, Park B, Van Roy B (2012) Strategic execution in the presence of an uninformed arbitrageur. J. Financial Markets 15:361–391.CrossrefGoogle Scholar
  • Obizhaeva AA (2012) Liquidity estimates and selection bias. Working paper, University of Maryland, College Park.Google Scholar
  • Obizhaeva A, Wang J (2013) Optimal trading strategy and supply/demand dynamics. J. Financial Markets 16:1–32.CrossrefGoogle Scholar
  • Rosu I (2009) A dynamic model of the limit order book. Rev. Financial Stud. 22:4601–4641.CrossrefGoogle Scholar
  • Sutton RS, Barto AG (1998) Reinforcement Learning: An Introduction (MIT Press, Cambridge, MA).Google Scholar
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