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Updated: Sep 18, 2025

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用FINGAN-BiLSTM建模外汇市场中的风格化事实:对金融时间序列的深度学习方法

Dong-Jun Kim1, Do-Hyeon Kim1, Sun-Yong Choi1

  • 1Department of Finance and Big Data, Gachon University, Seongnam 13120, Republic of Korea.

Entropy (Basel, Switzerland)
|June 26, 2025
PubMed
概括

新的金融生成对抗性网络双向长期短期记忆 (FINGAN-BiLSTM) 模型准确地捕捉了外汇市场的动态. 这种深度学习方法通过模拟复杂的数据模式来改进金融风险评估和衍生品定价.

关键词:
这就是为什么BiLSTM.芬格南芬格南 芬格南 芬格南预测 预测 预测 预测在外汇交易中,外汇是外汇.风格化的事实风格化事实

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