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 …
in the investment industry. Nevertheless, it is not widely recognized that both Kelly Criterion …
Optimal investment for retail company in electricity market
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 …
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 …
options, fixed income, futures, ETFs, indexes, commodities, foreign exchange, convertibles …
The reinforcement learning Kelly strategy
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 …
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 …
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 …
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 …
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 …
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 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 …
the returns one would expect to observe over long periods of betting or investing. These …