Implementing deep neural networks for financial market prediction on the Intel Xeon Phi
Author:
Affiliation:
1. Stuart School of Business, Illinois Institute of Technology, Chicago, IL
2. Northwestern University, Evanston, IL
Funder
Intel Corporation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2830556.2830562
Reference13 articles.
1. High technology ETF forecasting;Chen J.;Frontiers in Finance and Economics,2013
2. J. Faraway and C. Chatfield . Time series forecasting with neural networks: a comparative study using the air line data . Journal of the Royal Statistical Society : Series C (Applied Statistics) 47(2):231--250 1998 . J. Faraway and C. Chatfield. Time series forecasting with neural networks: a comparative study using the air line data. Journal of the Royal Statistical Society: Series C (Applied Statistics) 47(2):231--250 1998.
3. J. Jeffers and J. Reinders. Intel Xeon Phi Coprocessor High Performance Programming. Morgan Kaufmann Publishers Inc. San Francisco CA USA 1st edition 2013. ISBN 9780124104143 9780124104945. J. Jeffers and J. Reinders. Intel Xeon Phi Coprocessor High Performance Programming . Morgan Kaufmann Publishers Inc. San Francisco CA USA 1st edition 2013. ISBN 9780124104143 9780124104945.
4. Forecasting futures trading volume using neural networks
Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Integrating Deep Learning and Reinforcement Learning for Enhanced Financial Risk Forecasting in Supply Chain Management;Journal of the Knowledge Economy;2024-04-08
2. Momentum portfolio selection based on learning-to-rank algorithms with heterogeneous knowledge graphs;Applied Intelligence;2024-03
3. Finding Moving-Band Statistical Arbitrages Convex-Concave Optimization;SSRN Electronic Journal;2024
4. Research on the Impact of Green Technology Innovation on Enterprise Financial Information Management Based on Compound Neural Network;Journal of Organizational and End User Computing;2023-07-20
5. LSTM–GARCH Hybrid Model for the Prediction of Volatility in Cryptocurrency Portfolios;Computational Economics;2023-03-14
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3