In this paper, we explore the price dynamics of 16 representative records of USA Education Group stocks, encompassing two non-overlapping periods (before, during, and after COVID-19). Based on information theory and cluster analysis techniques, our study provides insights into disorder, predictability, efficiency, similarity, and resilience/weakness, considering the most diverse financial stakeholders. Our findings contribute significantly to understanding price dynamics in the education sector, encompassing non-crisis and crisis periods, and provide valuable information for financial risk management, highlighting the importance of considering financial assets’ efficiency and resilience/weakness during economic turbulence, such as the COVID-19 crisis.

在本文中，我们探讨了美国教育集团 16 只代表性股票的价格动态，涵盖两个非重叠时期（COVID-19 之前、期间和之后）。基于信息论和聚类分析技术，我们的研究提供了对无序性、可预测性、效率、相似性和弹性/弱点的见解，考虑到最多样化的财务利益相关者。我们的研究结果对了解教育部门的价格动态（包括非危机和危机时期）做出了重大贡献，并为金融风险管理提供了有价值的信息，强调了在经济动荡期间考虑金融资产效率和弹性/弱点的重要性，例如COVID-19 危机。