Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning

被引:0
|
作者
Ong, Joel [1 ]
Herremans, Dorien [1 ]
机构
[1] Singapore University of Technology and Design, 8 Somapah Rd, Singapore,487372, Singapore
来源
SSRN | 2022年
关键词
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
Costs - Deep neural networks - Learning algorithms - Learning systems - Linearization - Momentum - Network architecture - Time series
引用
收藏
相关论文
共 50 条
  • [1] Constructing time-series momentum portfolios with deep multi-task learning
    Ong, Joel
    Herremans, Dorien
    EXPERT SYSTEMS WITH APPLICATIONS, 2023, 230
  • [2] A systematic approach to multi-task learning from time-series data
    Mahmoud, Reem A.
    Hajj, Hazem
    Karameh, Fadi N.
    APPLIED SOFT COMPUTING, 2020, 96
  • [3] Multi-task self-supervised time-series representation learning
    Choi, Heejeong
    Kang, Pilsung
    INFORMATION SCIENCES, 2024, 671
  • [4] Deep multi-task learning model for time series prediction in wireless communication
    Cao, Kailin
    Hu, Ting
    Li, Zishuo
    Zhao, Guoshuai
    Qian, Xueming
    PHYSICAL COMMUNICATION, 2021, 44
  • [5] A deep multi-task representation learning method for time series classification and retrieval
    Chen, Ling
    Chen, Donghui
    Yang, Fan
    Sun, Jianling
    INFORMATION SCIENCES, 2021, 555 : 17 - 32
  • [6] Iterative multi-task learning for time-series modeling of solar panel PV outputs
    Shireen, Tahasin
    Shao, Chenhui
    Wang, Hui
    Li, Jingjing
    Zhang, Xi
    Li, Mingyang
    APPLIED ENERGY, 2018, 212 : 654 - 662
  • [7] Multi-Task Diffusion Learning for Time Series Classification
    Zheng, Shaoqiu
    Liu, Zhen
    Tian, Long
    Ye, Ling
    Zheng, Shixin
    Peng, Peng
    Chu, Wei
    ELECTRONICS, 2024, 13 (20)
  • [8] Multi-Task Disentangled Autoencoder for Time-Series Data in Glucose Dynamics
    Lim, Min Hyuk
    Cho, Young Min
    Kim, Sungwan
    IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 26 (09) : 4702 - 4713
  • [9] Multi-task Learning Method for Hierarchical Time Series Forecasting
    Yang, Maoxin
    Hu, Qinghua
    Wang, Yun
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: TEXT AND TIME SERIES, PT IV, 2019, 11730 : 474 - 485
  • [10] Bayesian Multi-task Learning for Dynamic Time Series Prediction
    Chandra, Rohitash
    Cripps, Sally
    2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2018, : 390 - 397