跳至主導覽
跳至搜尋
跳過主要內容
國立陽明交通大學研發優勢分析平台 首頁
English
中文
首頁
人員
單位
研究成果
計畫
獎項
活動
貴重儀器
影響
按專業知識、姓名或所屬機構搜尋
Developing arbitrage strategy in high-frequency pairs trading with filterbank cnn algorithm
Yu Ying Chen, Wei Lun Chen,
Szu-Hao Huang
資訊管理與財務金融學系
研究成果
:
Conference contribution
›
同行評審
13
引文 斯高帕斯(Scopus)
總覽
指紋
指紋
深入研究「Developing arbitrage strategy in high-frequency pairs trading with filterbank cnn algorithm」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Filter Bank
100%
Arbitrage Strategy
100%
Pairs Trading
100%
Arbitrage
50%
Trading System
50%
Taiwan
25%
Deep Learning Methods
25%
Mini
25%
Index Futures
25%
Convolutional Neural Network
25%
Information Integration
25%
Traders
25%
2D Image
25%
Stock Index Futures
25%
Asset Prices
25%
Visualization Method
25%
Convolutional Neural Network Model
25%
Underperformance
25%
Market-based
25%
Financial Knowledge
25%
Financial Domain
25%
Historical Volatility
25%
Knowledge Filter
25%
IDCNN
25%
Rational Equilibrium
25%
Information Technology Knowledge
25%
Statistical Arbitrage
25%
Real-time Visualization
25%
Computer Science
Convolutional Neural Network
100%
Trading System
100%
Domain Knowledge
50%
Neural Network Model
50%
visualization method
50%
Deep Learning Technique
50%
Information Technology
50%
Economics, Econometrics and Finance
Arbitrage
100%
Index Futures
50%
Time Series
25%
Stock Index
25%
Volatility
25%
Price
25%