TY - GEN
T1 - Analysis of Cyclical Fluctuations in the Chinese Stock Market Using Non-Harmonic Analysis
T2 - 10th International Conference on Systems and Informatics, ICSAI 2024
AU - Ma, Li
AU - Kojima, Yuki
AU - Nomoto, Keisuke
AU - Hasegawa, Masya
AU - Hirobayashi, Shigeki
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - cyclical fluctuations
KW - economic events
KW - non-harmonic analysis
KW - Shanghai Composite Index
KW - stock prices
UR - http://www.scopus.com/inward/record.url?scp=86000775359&partnerID=8YFLogxK
U2 - 10.1109/ICSAI65059.2024.10893771
DO - 10.1109/ICSAI65059.2024.10893771
M3 - 会議への寄与
AN - SCOPUS:86000775359
T3 - Proceedings - 2024 10th International Conference on Systems and Informatics, ICSAI 2024
BT - Proceedings - 2024 10th International Conference on Systems and Informatics, ICSAI 2024
A2 - Li, Qingli
A2 - Wang, Yan
A2 - Wang, Lipo
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 December 2024 through 16 December 2024
ER -