Analysis of Cyclical Fluctuations in the Chinese Stock Market Using Non-Harmonic Analysis: Market Responses to Major Economic Events

Li Ma, Yuki Kojima, Keisuke Nomoto, Masya Hasegawa, Shigeki Hirobayashi

研究成果: 書籍の章/レポート/会議録会議への寄与査読

抄録

This study employs Non-Harmonic Analysis (NHA) to investigate the cyclical characteristics and market response patterns of the Chinese stock market during two critical periods: 2006-2008 and 2014-2016. By analyzing daily frequency data from the Shanghai Composite Index (SSEC), the study identifies the dynamic behavior of short-term (32-64 days), medium-term (128 days), and long-term (256 days and beyond) cycles. The findings demonstrate that short-term cycles capture the market's immediate reactions, medium-term cycles serve as a transition between short-term and long-term trends, and long-term cycles reflect the market's adaptation to macroeconomic conditions. Under the influence of major events, such as the Lehman Brothers collapse and the RMB devaluation, the market exhibited a dynamic transition from short-term speculative activity to long-term adjustment. The application of NHA effectively uncovers market patterns across various time scales, offering significant insights for understanding market behavior, risk management, and policy-making.

本文言語英語
ホスト出版物のタイトルProceedings - 2024 10th International Conference on Systems and Informatics, ICSAI 2024
編集者Qingli Li, Yan Wang, Lipo Wang
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9798331510138
DOI
出版ステータス出版済み - 2024
イベント10th International Conference on Systems and Informatics, ICSAI 2024 - Shanghai, 中国
継続期間: 2024/12/142024/12/16

出版物シリーズ

名前Proceedings - 2024 10th International Conference on Systems and Informatics, ICSAI 2024

学会

学会10th International Conference on Systems and Informatics, ICSAI 2024
国/地域中国
CityShanghai
Period2024/12/142024/12/16

ASJC Scopus 主題領域

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 情報システムおよび情報管理

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