来源：市场资讯 本周三大指数，上证指数跌1.3%，深证成指涨1.14%，创业板指涨2.34%。后市将如何发展？看看机构 怎么说。 中信证券：更大的中期线索还是中国制造业龙头的全球化 目前整体的行业选择框架依然是围绕资源+新质生产力+出海。资源股在供给受限以及全球地缘动荡的 预期推动下，从周期属性转向偏红利属性会带来估值体系重构，博弈美联储降息的资金退潮带来的波动 可以忽略。更大的中期线索还是中国制造业龙头的全球化，将份额优势转化为定价权和利润率提升，带 来超越本国经济基本面的市值增长，从而逐步打破行情与基本面背离且全靠流动性驱动的错误认知。配 置结构上，保持定力，右侧趋势品种继续聚焦资源、消费电子、创新药和游戏；左侧配置关注化工和军 工；产业趋势层面，近期重点关注AI从云侧逻辑开始向端侧逻辑扩散。 招商证券：国庆前后融资变化规律及A股日历效应如何？ 国庆长假前后，融资盘通常呈现出"节前收敛、节后迸发"的变化规律。国庆节前市场走势往往较为平 淡，而节后市场风险偏好则出现明显改善。9月美联储如期降息，从历史经验看，预防式降息后A/H股 在未来上涨概率较高。展望后市，目前市场仍处于牛市阶段Ⅱ，驱动A股本轮上行的三大 ...

Core Insights - The report suggests that the key market drivers in the fourth quarter may shift towards cyclical sectors and low-positioned technology branches, as historical trends indicate a structural change in market dynamics during this period [1][2][4]. Market Trends - The report highlights that the main risk-reward ratio for leading sectors has decreased, necessitating a shift in investment focus. The concentration of capital in AI upstream hardware has led to a few stocks disproportionately influencing the market [2][3]. - Historical data from 2010 to 2024 shows that sectors with the highest gains in the first three quarters tend to underperform in the fourth quarter, with financial and stable sectors having a higher probability of outperforming the market [2][3]. Institutional Behavior - In the fourth quarter, institutions are likely to prioritize locking in profits from previously successful investments rather than seeking further excess returns. This behavior is driven by the need to mitigate ranking volatility risks, leading to a potential sell-off in previously high-performing sectors [3][4]. Cyclical Sector Opportunities - The report identifies that if optimistic economic expectations materialize, the fourth quarter will present a favorable window for cyclical investments. Historical examples from 2015 to 2022 demonstrate that consumer sectors often yield excess returns during this period [4][5]. Technology Sector Dynamics - Within the technology sector, the report anticipates a "high cut low" strategy, where investments will shift from high-performing upstream hardware to relatively underperforming segments within the AI industry chain [8][11]. - Specific areas of interest include midstream storage and AIDC-related facilities, which are expected to benefit from increasing demand driven by AI applications and capital expenditures from domestic cloud providers [9][10]. Application Sector Potential - The report emphasizes that while downstream AI applications have lagged, their potential for growth remains significant. The emergence of breakthrough products and business models could catalyze a shift in investor sentiment towards these applications [10][11]. - Notable segments to watch include AI in pharmaceuticals, humanoid robots, smart driving, and AI applications, which are positioned for potential growth as market narratives evolve [10][11].