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On‐Line Portfolio Selection Using Multiplicative Updates

Citations

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Cited by:

  1. James Chok & Geoffrey M. Vasil, 2023. "Convex optimization over a probability simplex," Papers 2305.09046, arXiv.org.
  2. Leonard C. MacLean & Yonggan Zhao & William T. Ziemba, 2016. "Optimal capital growth with convex shortfall penalties," Quantitative Finance, Taylor & Francis Journals, vol. 16(1), pages 101-117, January.
  3. Guy Uziel & Ran El-Yaniv, 2017. "Growth-Optimal Portfolio Selection under CVaR Constraints," Papers 1705.09800, arXiv.org.
  4. Panpan Ren & Jiang-Lun Wu, 2017. "Foreign exchange market modelling and an on-line portfolio selection algorithm," Papers 1707.00203, arXiv.org.
  5. Eyal Even-Dar & Sham. M. Kakade & Yishay Mansour, 2009. "Online Markov Decision Processes," Mathematics of Operations Research, INFORMS, vol. 34(3), pages 726-736, August.
  6. Sait Tunc & Suleyman S. Kozat, 2012. "Optimal Investment Under Transaction Costs: A Threshold Rebalanced Portfolio Approach," Papers 1203.4156, arXiv.org.
  7. Seung-Hyun Moon & Yourim Yoon, 2022. "Genetic Mean Reversion Strategy for Online Portfolio Selection with Transaction Costs," Mathematics, MDPI, vol. 10(7), pages 1-20, March.
  8. Ziming Gao & Yuan Gao & Yi Hu & Zhengyong Jiang & Jionglong Su, 2020. "Application of Deep Q-Network in Portfolio Management," Papers 2003.06365, arXiv.org.
  9. Guo, Sini & Gu, Jia-Wen & Ching, Wai-Ki, 2021. "Adaptive online portfolio selection with transaction costs," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1074-1086.
  10. Caiyu Jiang & Jianhua Wang, 2022. "A Portfolio Model with Risk Control Policy Based on Deep Reinforcement Learning," Mathematics, MDPI, vol. 11(1), pages 1-16, December.
  11. Parkes, David C. & Huberman, Bernardo A., 2001. "Multiagent Cooperative Search for Portfolio Selection," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 124-165, April.
  12. Sancetta, A., 2007. "Online Forecast Combination for Dependent Heterogeneous Data," Cambridge Working Papers in Economics 0718, Faculty of Economics, University of Cambridge.
  13. Kailin Xie & Jianfei Yin & Hengyong Yu & Hong Fu & Ying Chu, 2024. "Passive Aggressive Ensemble for Online Portfolio Selection," Mathematics, MDPI, vol. 12(7), pages 1-19, March.
  14. Purushottam Parthasarathy & Avinash Bhardwaj & Manjesh K. Hanawal, 2023. "Online Universal Dirichlet Factor Portfolios," Papers 2308.07763, arXiv.org, revised Nov 2023.
  15. Bin Li & Steven C. H. Hoi, 2012. "Online Portfolio Selection: A Survey," Papers 1212.2129, arXiv.org, revised May 2013.
  16. A. Borodin & R. El-Yaniv & V. Gogan, 2011. "Can We Learn to Beat the Best Stock," Papers 1107.0036, arXiv.org.
  17. Xiaoguang Huo & Feng Fu, 2017. "Risk-Aware Multi-Armed Bandit Problem with Application to Portfolio Selection," Papers 1709.04415, arXiv.org.
  18. Roujia Li & Jia Liu, 2022. "Online Portfolio Selection with Long-Short Term Forecasting," SN Operations Research Forum, Springer, vol. 3(4), pages 1-15, December.
  19. Rémi Jézéquel & Dmitrii M. Ostrovskii & Pierre Gaillard, 2022. "Efficient and Near-Optimal Online Portfolio Selection," Working Papers hal-03787674, HAL.
  20. Theodoros Tsagaris & Ajay Jasra & Niall Adams, 2012. "Robust and adaptive algorithms for online portfolio selection," Quantitative Finance, Taylor & Francis Journals, vol. 12(11), pages 1651-1662, November.
  21. Zhengyao Jiang & Dixing Xu & Jinjun Liang, 2017. "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem," Papers 1706.10059, arXiv.org, revised Jul 2017.
  22. Ting-Kam Leonard Wong, 2015. "Universal portfolios in stochastic portfolio theory," Papers 1510.02808, arXiv.org, revised Dec 2016.
  23. Hongliu He & Hua Li, 2024. "A New Boosting Algorithm for Online Portfolio Selection Based on dynamic Time Warping and Anti-correlation," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 1777-1803, May.
  24. Seung-Hyun Moon & Yong-Hyuk Kim & Byung-Ro Moon, 2019. "Empirical investigation of state-of-the-art mean reversion strategies for equity markets," Papers 1909.04327, arXiv.org.
  25. Korotkov, Vladimir & Wu, Desheng, 2021. "Benchmarking project portfolios using optimality thresholds," Omega, Elsevier, vol. 99(C).
  26. Yang Wang & Dong Wang & Yaodong Wang & You Zhang, 2018. "RACORN-K: Risk-Aversion Pattern Matching-based Portfolio Selection," Papers 1802.10244, arXiv.org.
  27. Zhong, Yannan & Xu, Weijun & Li, Hongyi & Zhong, Weiwei, 2024. "Distributed mean reversion online portfolio strategy with stock network," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1143-1158.
  28. Vajda, István & Ottucsák, György, 2006. "Empirikus portfólióstratégiák [Empirical portfolio strategies]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 624-640.
  29. Ottucsák György & Vajda István, 2007. "An asymptotic analysis of the mean-variance portfolio selection," Statistics & Risk Modeling, De Gruyter, vol. 25(1), pages 63-86, January.
  30. Wonsup Shin & Seok-Jun Bu & Sung-Bae Cho, 2019. "Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning," Papers 1909.03278, arXiv.org.
  31. Xingyu Yang & Jin’an He & Hong Lin & Yong Zhang, 2020. "Boosting Exponential Gradient Strategy for Online Portfolio Selection: An Aggregating Experts’ Advice Method," Computational Economics, Springer;Society for Computational Economics, vol. 55(1), pages 231-251, January.
  32. Yong Zhang & Xingyu Yang, 2017. "Online Portfolio Selection Strategy Based on Combining Experts’ Advice," Computational Economics, Springer;Society for Computational Economics, vol. 50(1), pages 141-159, June.
  33. Shuo Sun & Rundong Wang & Bo An, 2021. "Reinforcement Learning for Quantitative Trading," Papers 2109.13851, arXiv.org.
  34. Freund, Yoav & Schapire, Robert E., 1999. "Adaptive Game Playing Using Multiplicative Weights," Games and Economic Behavior, Elsevier, vol. 29(1-2), pages 79-103, October.
  35. Alex Garivaltis, 2018. "Multilinear Superhedging of Lookback Options," Papers 1810.02447, arXiv.org, revised Oct 2022.
  36. R'emi J'ez'equel & Dmitrii M. Ostrovskii & Pierre Gaillard, 2022. "Efficient and Near-Optimal Online Portfolio Selection," Papers 2209.13932, arXiv.org.
  37. Bin Li & Steven C. H. Hoi, 2012. "On-Line Portfolio Selection with Moving Average Reversion," Papers 1206.4626, arXiv.org.
  38. Chu, Gang & Zhang, Wei & Sun, Guofeng & Zhang, Xiaotao, 2019. "A new online portfolio selection algorithm based on Kalman Filter and anti-correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
  39. Esther Mohr & Robert Dochow, 2017. "Risk management strategies for finding universal portfolios," Annals of Operations Research, Springer, vol. 256(1), pages 129-147, September.
  40. Yong Zhang & Hong Lin & Lina Zheng & Xingyu Yang, 2022. "Adaptive online portfolio strategy based on exponential gradient updates," Journal of Combinatorial Optimization, Springer, vol. 43(3), pages 672-696, April.
  41. Huanming Zhang & Zhengyong Jiang & Jionglong Su, 2021. "A Deep Deterministic Policy Gradient-based Strategy for Stocks Portfolio Management," Papers 2103.11455, arXiv.org.
  42. Man Yiu Tsang & Tony Sit & Hoi Ying Wong, 2022. "Adaptive Robust Online Portfolio Selection," Papers 2206.01064, arXiv.org.
  43. Ha, Youngmin & Zhang, Hai, 2020. "Algorithmic trading for online portfolio selection under limited market liquidity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1033-1051.
  44. Dmitry B. Rokhlin, 2020. "Relative utility bounds for empirically optimal portfolios," Papers 2006.05204, arXiv.org.
  45. MacLean, Leonard C. & Zhao, Yonggan & Ziemba, William T., 2016. "Optimal capital growth with convex shortfall penalties," LSE Research Online Documents on Economics 65486, London School of Economics and Political Science, LSE Library.
  46. Chung-En Tsai & Hao-Chung Cheng & Yen-Huan Li, 2022. "Online Self-Concordant and Relatively Smooth Minimization, With Applications to Online Portfolio Selection and Learning Quantum States," Papers 2210.00997, arXiv.org, revised Sep 2023.
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