Online portfolio selection: A survey

B Li, SCH Hoi - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
Online portfolio selection is a fundamental problem in computational finance, which has
been extensively studied across several research communities, including finance, statistics …

A deep reinforcement learning framework for the financial portfolio management problem

Z Jiang, D Xu, J Liang - arXiv preprint arXiv:1706.10059, 2017 - arxiv.org
Financial portfolio management is the process of constant redistribution of a fund into
different financial products. This paper presents a financial-model-free Reinforcement …

Mllib: Machine learning in apache spark

X Meng, J Bradley, B Yavuz, E Sparks… - Journal of Machine …, 2016 - jmlr.org
On-line portfolio selection is a practical financial engineering problem, which aims to
sequentially allocate capital among a set of assets in order to maximize long-term return. In …

Cryptocurrency portfolio management with deep reinforcement learning

Z Jiang, J Liang - 2017 Intelligent systems conference …, 2017 - ieeexplore.ieee.org
Portfolio management is the decision-making process of allocating an amount of fund into
different financial investment products. Cryptocurrencies are electronic and decentralized …

[图书][B] Prediction, learning, and games

N Cesa-Bianchi, G Lugosi - 2006 - books.google.com
This important text and reference for researchers and students in machine learning, game
theory, statistics and information theory offers a comprehensive treatment of the problem of …

PAMR: Passive aggressive mean reversion strategy for portfolio selection

B Li, P Zhao, SCH Hoi, V Gopalkrishnan - Machine learning, 2012 - Springer
This article proposes a novel online portfolio selection strategy named “Passive Aggressive
Mean Reversion”(PAMR). Unlike traditional trend following approaches, the proposed …

[PDF][PDF] Portfolio choices with orthogonal bandit learning

W Shen, J Wang, YG Jiang, H Zha - Twenty-fourth international joint …, 2015 - ijcai.org
The investigation and development of new methods from diverse perspectives to shed light
on portfolio choice problems has never stagnated in financial research. Recently, multi …

Reinforcement learning for quantitative trading

S Sun, R Wang, B An - ACM Transactions on Intelligent Systems and …, 2023 - dl.acm.org
Quantitative trading (QT), which refers to the usage of mathematical models and data-driven
techniques in analyzing the financial market, has been a popular topic in both academia and …

Data-driven approaches in FinTech: a survey

X Tian, JS He, M Han - Information Discovery and Delivery, 2021 - emerald.com
Purpose This paper aims to explore the latest study of the emerging data-driven approach in
the area of FinTech. This paper attempts to provide comprehensive comparisons, including …

[HTML][HTML] Moving average reversion strategy for on-line portfolio selection

B Li, SCH Hoi, D Sahoo, ZY Liu - Artificial Intelligence, 2015 - Elsevier
On-line portfolio selection, a fundamental problem in computational finance, has attracted
increasing interest from artificial intelligence and machine learning communities in recent …