no code implementations • 17 Oct 2023 • Chung-Han Hsieh, Xin-Yu Wang
This paper introduces a novel robust trading paradigm, called \textit{multi-double linear policies}, situated within a \textit{generalized} lattice market.
no code implementations • 7 Jul 2023 • Chi-Lin Li, Chung-Han Hsieh
This paper introduces a unified framework for adaptive portfolio management, integrating dynamic Black-Litterman (BL) optimization with the general factor model, Elastic Net regression, and mean-variance portfolio optimization, which allows us to generate investors' views and mitigate potential estimation errors systematically.
no code implementations • 7 Jan 2023 • Chung-Han Hsieh, Yi-Shan Wong
The aim of this paper is to investigate the impact of rebalancing frequency and transaction costs on the log-optimal portfolio, which is a portfolio that maximizes the expected logarithmic growth rate of an investor's wealth.
no code implementations • 24 Jun 2022 • Pei-Ting Wang, Chung-Han Hsieh
In this paper, we propose a data-driven sliding window approach to solve a log-optimal portfolio problem.
no code implementations • 4 Feb 2022 • Chung-Han Hsieh
That is, the expected cumulative trading gain-loss function is guaranteed to be positive for a broad class of stock price processes.
no code implementations • 8 Mar 2021 • Chung-Han Hsieh
To be more specific, we show that if a market contains a dominant asset, buy and hold a market portfolio involving nonzero weights for each asset is asymptotically log-optimal.
no code implementations • 27 Apr 2020 • Chung-Han Hsieh
The takeoff point of this paper is to generalize the existing stock trading results for a class of affine feedback controller to include consideration of a stop-loss order.
Optimization and Control Systems and Control Systems and Control Mathematical Finance Risk Management 93E03, 91B02, 91B70