Online portfolio selection: A survey
Online portfolio selection is a fundamental problem in computational finance, which has
been extensively studied across several research communities, including finance, statistics …
been extensively studied across several research communities, including finance, statistics …
A deep reinforcement learning framework for the financial portfolio management problem
Financial portfolio management is the process of constant redistribution of a fund into
different financial products. This paper presents a financial-model-free Reinforcement …
different financial products. This paper presents a financial-model-free Reinforcement …
Mllib: Machine learning in apache spark
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 …
sequentially allocate capital among a set of assets in order to maximize long-term return. In …
Cryptocurrency portfolio management with deep reinforcement learning
Portfolio management is the decision-making process of allocating an amount of fund into
different financial investment products. Cryptocurrencies are electronic and decentralized …
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 …
theory, statistics and information theory offers a comprehensive treatment of the problem of …
PAMR: Passive aggressive mean reversion strategy for portfolio selection
This article proposes a novel online portfolio selection strategy named “Passive Aggressive
Mean Reversion”(PAMR). Unlike traditional trend following approaches, the proposed …
Mean Reversion”(PAMR). Unlike traditional trend following approaches, the proposed …
[PDF][PDF] Portfolio choices with orthogonal bandit learning
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 …
on portfolio choice problems has never stagnated in financial research. Recently, multi …
Reinforcement learning for quantitative trading
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 …
techniques in analyzing the financial market, has been a popular topic in both academia and …
Data-driven approaches in FinTech: a survey
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 …
the area of FinTech. This paper attempts to provide comprehensive comparisons, including …
[HTML][HTML] Moving average reversion strategy for on-line portfolio selection
On-line portfolio selection, a fundamental problem in computational finance, has attracted
increasing interest from artificial intelligence and machine learning communities in recent …
increasing interest from artificial intelligence and machine learning communities in recent …