Model-free reinforcement learning for financial portfolios: a brief survey

Y Sato - arXiv preprint arXiv:1904.04973, 2019 - arxiv.org
Financial portfolio management is one of the problems that are most frequently encountered
in the investment industry. Nevertheless, it is not widely recognized that both Kelly Criterion …

Optimal investment for retail company in electricity market

J He, L Cai, P Cheng, J Fan - IEEE Transactions on Industrial …, 2015 - ieeexplore.ieee.org
Considering an optimal investment problem for a retailer in electricity market, the objective is
to seek the optimal investment decision that maximizes the weighted sum of the expected …

[图书][B] 151 Trading Strategies

Z Kakushadze, JA Serur - 2018 - Springer
Features trading strategies for a variety of asset classes and trading styles including stocks,
options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles …

The reinforcement learning Kelly strategy

R Jiang, D Saunders, C Weng - Quantitative Finance, 2022 - Taylor & Francis
The full Kelly portfolio strategy's deficiency in the face of estimation errors in practice can be
mitigated by fractional or shrinkage Kelly strategies. This paper provides an alternative, the …

Kelly betting can be too conservative

CH Hsieh, BR Barmish… - 2016 IEEE 55th conference …, 2016 - ieeexplore.ieee.org
Kelly betting is a prescription for optimal resource allocation among a set of gambles which
are typically repeated in an independent and identically distributed manner. In this setting …

On Kelly betting: some limitations

CH Hsieh, BR Barmish - 2015 53rd Annual Allerton Conference …, 2015 - ieeexplore.ieee.org
The focal point of this paper is the so-called Kelly Criterion, a prescription for optimal
resource allocation among a set of gambles which are repeated over time. The criterion calls …

On data-driven log-optimal portfolio: A sliding window approach

PT Wang, CH Hsieh - IFAC-PapersOnLine, 2022 - Elsevier
In this paper, we propose an online data-driven sliding window approach to solve a log-
optimal portfolio problem. In contrast to many of the existing papers, this approach leads to a …

Visual knowledge discovery and machine learning for investment strategy

A Wilinski, B Kovalerchuk - Cognitive Systems Research, 2017 - Elsevier
Abstract Knowledge discovery is an important aspect of human cognition. The advantage of
the visual approach is in opportunity to substitute some complex cognitive tasks by easier …

At what frequency should the Kelly bettor bet?

CH Hsieh, BR Barmish… - 2018 Annual American …, 2018 - ieeexplore.ieee.org
We study the problem of optimizing the betting frequency in a dynamic game setting using
Kelly's celebrated expected logarithmic growth criterion as the performance metric. The …

Kelly's criterion in portfolio optimization: a decoupled problem

Z Peterson - arXiv preprint arXiv:1710.00431, 2017 - arxiv.org
Kelly's Criterion is well known among gamblers and investors as a method for maximizing
the returns one would expect to observe over long periods of betting or investing. These …