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权益研究

银行股,赚的是分红还是耐心?十余年数据看懂 A 股长期底仓

以十只 2015 年可交易的银行股为固定样本,用曲线与分红台账拆解总回报,并结合信用周期、金融加速器、资产负债表修复和股权自由现金流,研究长期底仓的资本、治理与持有边界。

Equity Research

Bank Stocks: Dividends or Patience? A Decade of Data on A-Share Core Holdings

Using a fixed sample of ten bank stocks tradable in 2015, this study traces total returns and dividend cash flows, then tests the capital, governance, and holding constraints behind a long-term core position through credit-cycle, financial-accelerator, balance-sheet-repair, FCFE, and residual-income frameworks.

长期持有银行股,最容易被看见的是分红,最容易被低估的是拿到分红之前要承受什么。本文的历史情景里,50 万元起步、按规则追加资金,最终形成了可观的股票与现金资产;但同一条路径,也曾从高点回撤近四成,历时两年多才收复旧高。因此,“银行股是 A 股长期底仓”值得认真讨论,却不能只靠高股息或国有背景来论证。我们要把总回报、资本约束、股东治理与持有纪律放进同一张研究地图,再问:什么条件下,这个命题才成立?

底仓命题:先定义,后赞同或反对

这里的“底仓”不是预测短期涨跌的交易篮子,也不是把资金集中押在一个行业;它是一个可以长期、低换手持有,同时仍要接受持续风控复核的权益仓位。若把银行股放在这个位置,理由应当是:银行持续参与居民储蓄、企业融资和支付清算;成熟银行的利润、资本和分配政策可被定期披露并跟踪;而股东结构和监管框架也使风险更容易被公开讨论。它并不等于“国家会让所有普通股股东免于损失”。

截至 2025 年四季度末,银行业金融机构总资产为 480 万亿元;商业银行不良贷款率为 1.50%、拨备覆盖率为 205.21%、资本充足率为 15.46%,但净息差已降至 1.42%。这组数字的正确读法是:资本缓冲仍在,盈利的息差压力也是真实的,而不是只挑其中一项来证明乐观或悲观。资产规模与后四项指标的统计范围不同,行业平均值也不能替代单家银行分析。数据见中国银行业协会转载的国家金融监督管理总局 2025 年四季度监管指标

图解:银行股长期底仓的研究框架,包含现金回报、资本与风险、股东与治理、持有纪律四个模块。
图解|银行研究不是高股息筛选,而是四个互相制约的模块。

因此,本文把下列十只股票视为2015 年时可交易、用于研究的固定样本,而不是“当下最好的十只股票”或买入名单:工商银行(601398)、建设银行(601939)、农业银行(601288)、中国银行(601988)、交通银行(601328)、招商银行(600036)、兴业银行(601166)、平安银行(000001)、宁波银行(002142)、南京银行(601009)。其中既有国有大行,也有股份行和城商行;这种分层的目的,是避免把不同负债结构、区域暴露和治理特征都压缩成一个“银行”标签。

结果本身要求这种谨慎。十只样本从 2015-01-05 到 2026-09-04 的税前分红再投资总回报指数终值在 1.44 倍到 4.52 倍之间,最高约为最低的 3.13 倍。这里的指数假定分红在除权日收盘再投资;下文的组合账户则保留分红现金,两者不能混用。行业配置解决的是“不要把判断押在一家银行上”,没有解决“每家银行的盈利质量、资本消耗与治理是否相同”。如果只给出行业平均收益率,就会掩盖投资者真正承担的选择风险。

横向柱状图:十只固定银行样本自 2015 年初至 2026 年 9 月初的含分红总回报倍数,平安银行为 1.44 倍,宁波银行为 4.52 倍,其余标的介于两者之间。
图 1|真实历史结果的离散度。各股采用税前分红再投资指数,含送转、不扣交易费用;不是下文保留分红现金的账户收益。“银行”是研究起点,而非可替代单家公司分析的结论。

银行的回报:股息是现金流,不是全部回报

长期股东得到的不是一个静态的“股息率”,而是三件事的合成:已派现金、留存在银行体系内继续创造利润的资本,以及市场对未来资产质量、利率和资本约束的重新定价。前两项可以在财报和分红方案中追踪,最后一项会带来很大的价格波动。只看股息率,会把低估值、低增长、风险上升和一次性高分配混在一起。

净息差正好说明了这种张力。人民银行在 2025 年一季度货币政策执行报告中仍将利率环境、信贷投放与金融机构经营放在同一宏观框架下讨论;投资者需要把息差、负债成本、贷款重定价和风险成本看作联动变量,而不是把某个季度的利润外推成永恒。报告原文可供核对。

对底仓而言,更实用的观察顺序是:

  1. 先看资本充足率、拨备、不良生成与核销,判断分红能否经得起损失吸收;
  2. 再看净息差、非息收入和成本收入比,判断利润的可持续性;
  3. 再看分红比例、现金流和资本补充安排,判断“可分配”与“已分配”的差异;
  4. 最后才把市净率、股息率或股利折现结果放回风险溢价中比较。

国际货币基金组织在 2025 年对中国金融体系稳定评估的总结中,同样把房地产调整、地方融资平台债务与宏观压力测试作为重要风险背景。它提醒我们:低估值不是自动安全边际;风险资产的相关性会在压力期上升。见IMF 的评估说明

把这段机制写成一个可检验的近似式,会比“高股息”更有用:股东总回报 ≈ 现金股利收益 + 每股账面价值增长 + 市净率变化。其中前两项受 ROE、派息率、风险成本和资本约束共同塑造,最后一项受市场对这些变量的预期和风险溢价塑造。这个等式并非精确估值模型,却能避免两种常见误读:把市净率下跌当作“便宜所以必涨”,或者把利润增长当作“必然能全额派给股东”。

对底仓命题,真正的反证也由此变得明确:若某银行的 ROE 下行、风险加权资产扩张仍大量消耗资本、同时市场要求更高的股权回报率,那么即使账面股息率没有立刻下降,内在可分配能力与估值也可能同时承压。反过来,若利润、资本缓冲和每股账面价值稳步改善,价格一时不动也不必自动推翻研究。要跟踪的是每股价值创造是否还在,而不是只等待股价“回本”。

把银行放回周期:信用、资产负债表与资本的不同步

“长期持有能够穿越周期”是一句容易说、很难验证的话。银行的特殊之处在于,它不仅承受周期,还会通过授信、抵押品定价和资本约束放大或缓和周期。要判断底仓是否成立,不能只问经济什么时候回暖,而应追问:上一轮扩张形成的债务,由谁偿还?抵押品贬值后的损失,由谁吸收?损失处理完之后,每一股普通股还能创造多少利润?

1. 先分清四个“时钟”,不要把周期当成日历

国际清算银行(BIS)在 2014 年年报相关章节中,把传统经济周期与金融周期明确区分:前者关注产出和经济活动,后者强调信用、房地产价格与融资约束的相互强化。在其讨论的历史样本中,传统经济周期常见长度为 1—8 年,金融周期则约为 15—20 年。这些是特定样本与识别方法下的经验特征,不是中国经济或 A 股每隔固定年数必然见底的定律。来源:BIS 2014 年年报第四章

对银行研究,更实用的做法是分开记录四个时钟。下表是本文的分析框架,并非四条已估计的中国周期曲线;各个时钟可以重叠、错位,也会受到政策和制度变化影响。

时钟 主要观察什么 为什么银行股可能不同步?
经济与投资活动 企业订单、收入、投资意愿、就业与居民现金流 当期收入改善,不代表存量高负债已经修复;不同行业、地区的借款人恢复速度不同。
信用与资产价格 债务扩张、房地产价格、抵押品价值与融资条件 信用可以在繁荣时把风险积累起来,损失却在增长放缓后才显现;季度 GDP 不是全部风险的代理变量。
货币与负债成本 政策利率、贷款重定价、存款成本、资金期限 降息可能改善借款人偿债,同时压低银行资产收益;负债成本调整不一定同速。
银行资本与会计确认 信用成本、核销、CET1、RWA 与普通股融资 经济企稳之后,银行仍可能需要确认旧损失和补资本,派息恢复未必与经济拐点同步。

股票价格还多了一层预期定价:它可以在财报改善前反映投资者对修复的期待,也可以在利润仍增长时,因为风险溢价上升而下跌。因此,经济活动的底、信用损失的高点、普通股利润的底和股价的底,不应被当作一个时点。看到经济指标回升才买入,并不自动是低价;看到股价先反弹,也不证明资产质量已经恢复。本文讨论的是这些错位的可能机制,没有估计它们在 A 股中的固定领先月数。

BIS 2018 年关于金融周期与衰退风险的研究,使用了 16 个发达经济体 1985—2017 年的季度数据。这个样本边界很重要:它支持认真研究金融变量与衰退的关系,却不能直接给出中国银行股的买入年份、目标市净率或加仓阈值。来源:《The financial cycle and recession risk》。周期理论的用途,是提醒我们不要用一个短时钟解释全部长期风险。

2. 明斯基:看起来最稳定的时候,风险也可能正在累积

明斯基在 1992 年《金融不稳定假说》中,将融资关系分为三类:现金流可以覆盖本息的对冲融资(hedge finance)、能付利息但本金依赖续借的投机融资(speculative finance),以及经营现金流连利息也难覆盖、需要借新债或出售资产维系的庞氏融资(Ponzi finance)。这里的“庞氏”是现金流与债务关系的理论分类,不能直接等同于对某家公司违法诈骗的指控;“对冲”也不是指买入对冲基金。来源:明斯基原始论文与研究所说明

把这一框架用于银行研究,重点不在于给所有借款人贴标签,而在于识别偿债来源的变化:一笔贷款究竟靠企业经营收入偿还,靠到期续贷偿还,还是靠抵押品继续涨价才有可能偿还?三种贷款在顺风时都可能按时付息,但抵御现金流下降和融资收紧的能力并不相同。

明斯基的核心提醒是,长期繁荣可能改变风险偏好和融资结构,稳定的表象不一定代表安全边际持续增加。本文据此提出的银行研究问题是:当前较低的不良率,来自借款人真实现金流改善,还是贷款增长稀释了分母、续贷延后了暴露、核销移走了存量?不能仅凭其中一种可能性就指控银行掩盖风险,也不能只看到不良率没有升高,就停止核对关注类贷款、逾期迁徙和现金回款。

3. 金融加速器:资产价格为什么能反过来影响信贷?

伯南克、格特勒与吉尔克里斯特的金融加速器框架,解释信用市场摩擦如何放大和传递宏观冲击,而不是把金融系统看成一个被动的资金管道。来源:NBER 1998 年工作论文 6455。对银行底仓的启发是:盈利压力不一定只来自贷款数量减少,也可能来自借款人净资产变薄、融资条件收紧以及风险成本上升的反馈。

从信用与抵押品的角度,可以把一种典型反馈机制写成:信用扩张支持资产交易,资产价格上涨改善抵押与融资条件,更多融资又支持扩张;当现金流或资产价格转弱时,反馈可能反向运行。以下图解是机制示意,不是对每次危机的归因,也不是中国已经被测量出的周期路径。它尤其提醒我们:银行持有的是贷款合同,贷款背后却是会随经济活动变化的借款人现金流和资产价值。

周期机制示意:信用扩张、现金流与抵押品转弱、银行确认损失、资本与每股价值修复四个环节,下方区分偿债能力、银行资本和普通股回报三个验证层次。
机制图|周期通过借款人、信用损失与资本传到普通股。本文原创示意,依据上述金融周期与金融加速器研究整理;没有按年份标定,也不是实测曲线或必然发生的顺序。

这一机制也解释了为什么“银行股是防御资产”需要加限定:负债基础稳定、利润来源成熟,不代表信用损失不会在压力期集中出现。分散到十家银行,可以减少单家公司治理或经营失误的暴露,却未必能分散共同的房地产抵押品变化、区域产业压力或信用需求下降。原文情景中,16 笔追加集中在 2016 年 1 月,是账户规则的事实;它不是已经识别出某个宏观周期拐点的证据。

4. 资产负债表衰退:钱便宜了,为什么仍可能不愿借?

辜朝明在 2011 年论文中,用日本资产泡沫破裂后的经验讨论一种与普通需求波动不同的机制:资产价值下降而债务仍在时,企业和居民可能优先修复资产负债表、减少债务,而不是增加借款和投资。由此,低利率和流动性充裕不一定能立即恢复私人部门借贷意愿。来源:《The world in balance sheet recession: causes, cure, and politics》,尤其是开篇的机制说明和日本案例。

用于银行分析时,应该区分两件事:借款人融资负担下降,可能减少违约压力;但借款人主动还债、推迟投资,又可能压低优质贷款需求。两种力量可以同时存在。因此,不能把“降息利好实体经济”直接翻译为“银行利润必然增加”。银行能否维持回报,还取决于资产收益下降多少、存款成本下降多少、信用损失是否减少,以及新的资产配置能否覆盖资本成本。

这是一种有条件的理论解释,不是把中国整体贴上“资产负债表衰退”标签。要检验它在某个行业或地区是否适用,需要观察借款人的净融资、偿债支出、投资和现金流,而不是只根据某条新闻或一轮股价下跌作判断。日本案例也不能成为“中国必然重复同样年数”的证据。

5. 把理论放回中国:政策托底与股东盈利是两条验证链

一个与本文问题直接相关的现实核对点,是 IMF 于 2025-04-04 发布的中国金融体系稳定评估总结。它一方面肯定监管改革和大银行资本、流动性缓冲的作用,另一方面指出房地产调整、地方融资平台压力,以及宽松货币条件对银行内生盈利的影响,并强调部分中小银行更容易受到冲击。这份评估支持的不是单向的“乐观”或“悲观”,而是稳定性与盈利性必须分开验证。来源:IMF 评估总结;它描述的是该次评估,不是 2026 年 9 月的实时风险评级。

例如,从机制上看,债务展期可能缓解借款人的当期还本压力,但不会自动增加项目未来收入;资本注入可以提高银行损失吸收与扩表能力,但新增股数、发行价格和后续资本回报,决定了老股东是否真正受益。正文后面列出的财政部、汇金和地方国资动作,应分别放进这两条链:一条验证信用和机构稳定,另一条验证普通股每股利润、净资产与派息。不能省掉第二条,就宣布底仓逻辑已被政策证实。

逆周期资本缓冲的制度设计也有类似区分。巴塞尔委员会 2010 年指引的目标,是在过度信用增长积累系统性风险时增加保护,并在压力期通过释放缓冲减少资本约束对信贷供给的冲击。来源:BCBS 指引。这是国际监管框架的解释,不是声称中国当前已实施某次具体缓冲释放;实际要求必须以境内监管规定及各银行适用口径核对。制度保护金融中介持续运行,也不等于保护任何买入价格下的普通股收益。

6. 周期怎样进入估值:不要拿最好的一年当永续年

下文的 FCFE、DDM 和剩余收益模型,需要的不是“最近一年 ROE 很高”这一项输入,而是一组能够跨越信用损失确认和资本补充阶段的假设。本文的分析建议是:把历史利润拆成拨备前经营能力与信用成本,再检验过去的好年份是否依赖低损失、资产价格上升或更快的贷款扩张。取十年简单平均也不自动代表“穿越周期”——如果样本没有覆盖风险集中暴露期,平均数仍可能偏乐观。

对稳定期 ROE 的处理尤其重要。低信用成本时期的高 ROE,不能不经调整地放入永续终值;而压力期利润较低,也不自动意味着永久失去盈利能力。需要回答损失是一次性存量出清,还是业务持续不能覆盖信用成本和资本成本。下面是用于组织情景的工作表,不是对当前十家银行所在阶段的判断。

分析情景 模型中应联动的变量 不能跳过的反证
扩张顺风 贷款/RWA 增长较快、当期信用成本可能较低,留存资本需求增加 高 ROE 是否建立在过度扩张或借款人依赖续贷之上?高增长与高派息是否冲突?
压力暴露 信用成本上升、利润受压、资本扣减或风险权重可能变化 分红是否靠消耗缓冲维持?资本缺口是否需要新增普通股融资?
存量修复 损失确认与处置、负债成本调整、借款人现金流逐步修复 是真实回款改善,还是只是推迟还款与损失确认?修复要付出多少资本和时间?
经营正常化 可持续 ROE、正常信用成本、可承受 RWA 增速与派息率 模型是否过早恢复到历史最高利润率?增长率与资本留存是否一致?

“周期会回来”也不是市净率必然回到历史高点的理由。若负债优势变弱、竞争压低正常化息差,或资本要求长期提高,正常化 ROE 可能低于过去。回归的是经济活动,不一定是同一个盈利中枢。只有当普通股价值创造的机制仍成立,周期波动才可能成为持有理由;如果机制改变,等待更久也不会自动恢复价值。

7. 给逢低加仓再加一个问题:便宜的是价格,还是假设?

周期研究不能替代交易规则,但可以让我们检查规则的盲区。本文的 20%和 35%回撤阈值,只依据价格与分红指数,不观察借款人偿债、资本缓冲或融资稀释,也没有识别宏观周期。它因此是一个机械历史情景,而不是经过验证的“周期底部加仓策略”。周期章节没有改变该回测结果,也不应被用来为这些阈值增加事后的理论背书。

更可行的下一步,是把“当前价格回撤”与“信用脆弱性、银行缓冲、每股价值变化”并排观察。BIS 对银行危机早期预警指标的研究,讨论了信贷/GDP 缺口和偿债负担率:前者衡量信用相对长期趋势的偏离,后者关注本息偿付相对收入的压力。它们是系统风险研究的工具,不是单只股票的收益预测,也不是任意一个阈值就可复制到中国的买卖信号。来源:Drehmann 与 Juselius,BIS 工作论文 421(2013)

用于本文底仓研究时,可以形成三个连续的复核问题:借款人的偿债来源是否仍在?银行能否在确认合理损失后维持资本要求?当前股数下的普通股分红与正常化 ROE 是否还能支持估值?这不是保证抄到最低点,而是在区分“价格下跌但价值基础尚在”与“价格下跌且价值基础同步变弱”。

若未来把宏观变量纳入回测,还必须保存各时点实际已公布的数据及披露滞后,处理修订和趋势估计的端点问题;不能用今天完整历史算出的“当年周期底部”,假装当年的投资者已经看见它。对长期持有的心理纪律,周期理论最有用的帮助也正在这里:它要求投资者为较长的修复期准备现金,而不是用“已经跌了很多”催促自己耗尽加仓额度。

2015—2026 情景:50 万起步、最多再投 50 万

下面不是预测,也不是可直接复制的投资建议,而是一项现在设定固定参数、再应用到历史的情景复算。它回答的窄问题是:若在 2015 年初把十只样本等权放入账户,并在明显回撤时机械加仓,价格与税前现金分红合起来会形成怎样的路径?这不意味着投资者在 2015 年已经确定了这些参数或选股理由。

结果如下。由于 2016 年和 2022 年的阈值确实被触发,规则实际只使用了 42.5 万元追加资金,保留了 7.5 万元的可用上限;所以“最多再投 50 万”不等于每次都必须用满。

情景 外部投入 2026-09-04 期末净值 其中税前现金分红 对已投入资金的累计回报 资金加权年化回报 最大回撤(时间加权)
初始 50 万,持有不加仓 50.0 万 120.2 万 31.3 万 140.5% 7.8% -36.9%
初始 50 万,规则化加仓 92.5 万 228.2 万 57.2 万 146.7% 8.5% -36.9%
2015 年初一次投入 100 万 100.0 万 241.5 万 62.9 万 141.5% 7.9% -37.1%

先把收益的三种口径分清

累计回报按“期末净值 ÷ 累计实际投入 − 1”计算,不考虑投入日期,不能直接除以年数当成年化。资金加权年化回报(XIRR)按各笔投入日期和期末资产求解,回答的是“这笔钱沿这条投入路径赚了多少”。时间加权回报则逐日剔除当日外部入金影响,回答的是“账户内部资产组合如何增长”。本模型把入金视作交易日开始发生,期末股票按收盘价估值,现金不计利息。

三种情景的时间加权年化回报分别约为 7.65%、7.65%和 7.69%。因此,不能把规则组合 8.5% 的 XIRR 与不加仓组合 7.8% 的 XIRR 之差,直接称为可重复的选股或择时超额收益。投入时点、持仓结构和现金占比都会影响它;而一次投入 100 万的终值更高,也部分因为更多资金更早进入市场。

上下两幅曲线图:上图比较三种资金路径的时间加权财富指数,下图为规则化加仓情景相对于历史高点的回撤,最大回撤发生在 2015 年 8 月 25 日,为负 36.9%。
图 2|曲线回答的是“过程能否承受”,不是“终点是否好看”。上下图均使用完整日度数据,上图为剔除外部追加资金影响的时间加权指数;下图展示同一规则组合的真实最大回撤。

这里最不该忽略的是 -36.9% 的路径。规则组合在 2015-06-08 创出此前高点,2015-08-25 到达最大回撤;直到 2017-08-02 才重新超过那个高点,历时 786 个自然日。它说明“最后得到 228.2 万”并不意味着过程轻松;如果投资者无法接受接近四成的账户回撤,或者会在回撤后停止按规则投入,那么期末数字对他并不是可实现的结果。规则化加仓在此样本中提高了资金加权回报,但它没有神奇地消除回撤,也不能证明下一次压力期会重复同样的顺序。

还有一个更容易被终值掩盖的事实:这套“分散加仓”规则在压力时并不分散。十只股票的第一笔 20% 回撤加仓都在 2016-01-12 成交;七只股票的第二笔 35% 回撤加仓中,六笔发生在 2016 年 1 月,招商银行一笔在 2022-05-10。17 笔追加中有 16 笔集中在一个月。2015 年最大回撤发生时,规则还处于 250 日历史预热期,不能据此宣称“加仓没有降低那次回撤”的一般结论;但集中入金确实说明,十家银行面对的不是十七次彼此独立的机会。分散持有十家银行,不等于在信用、流动性和利率压力下拥有十个独立风险源。

年度柱状图:规则化加仓情景的税前现金分红从 2015 年的 1.9 万元,增长到 2025 年的 8.3 万元,2026 年数据截至 9 月 4 日为 4.6 万元。
图 3|现金分红的历史台账。2026 年为截至 9 月 4 日的部分期间;金额税前且不再投资,按模型在除权日计入现金,不代表真实派息日的银行流水。

图 3 也不能被读作“银行每年的分红能力都按这个速度增长”:2016 年集中加仓增加了股数,送转和后续加仓也改变了持仓。年度到账总额必须拆成“持有股数 × 每股分红”,才可以讨论公司的分红增长。

把规则组合的期末资产拆开,数字才能闭合:股票市值 169.33 万元 + 税前分红现金 57.21 万元 + 整数手交易后留存余款 1.67 万元 = 228.21 万元。佣金共 272.41 元,已经在买入成本中扣除。未触发的 7.5 万元追加预算没有进入证券账户,不在上述现金和净值之内。若将它作为家庭账户预留现金、假定零利息,完整 100 万元预算的期末合计资产为 235.71 万元,累计收益为 135.71%;这一家庭预算口径不能与表中的 92.5 万元实际入金口径混为一谈。

十家银行分别贡献了什么?

下表来自规则化加仓情景的逐股台账,金额均为万元,保留两位小数;“投入预算”包含该股买入后未用完的余款,“买入成本”则含佣金。分红列不是额外加在期末净值之上的收益,而是已经包含于账户现金中。

银行 投入预算 买入成本 期末股票市值 累计税前分红 追加次数
工商银行 7.50 7.47 12.85 5.01 1
建设银行 10.00 9.85 18.67 6.58 2
农业银行 7.50 7.45 14.76 4.92 1
中国银行 10.00 9.95 16.75 5.96 2
交通银行 10.00 9.91 11.65 5.80 2
招商银行 10.00 9.53 21.26 7.47 2
兴业银行 7.50 7.26 8.02 4.35 1
平安银行 10.00 9.85 11.73 3.41 2
宁波银行 10.00 9.78 33.73 6.12 2
南京银行 10.00 9.77 19.93 7.61 2

来源:本地复算输出 rule_additions_per_bank.csv。这些不是十只股票的收益排名:各股入金时间和金额不同,而且组合没有再平衡。初始等权并不等于长期等权——期末宁波银行占股票市值约 19.9%,已接近初始 10% 的两倍。表现好的持仓会自然集中,是否恢复权重是另一项需要单独检验的策略选择。

本情景的脚本、逐笔订单、日度净值、每笔分红以及原始分红去重记录均随站点仓库一同保存于 research/experiments/a_share_bank_core_holdings_v1/,可按同一口径复算。特别要注意:所谓“分红贡献”是税前现金、未再投资;把它和收盘市值一起纳入净值,才是这里的总回报口径。

公开复算材料:离线复算脚本情景对比表逐股明细。仓库保存了复算输出,但这些链接不意味着底层本地行情数据库也随 Git 分发。

本研究没有把沪深 300、银行指数或动态可投资股票池作为对照,因此它不能回答“十行组合是否跑赢某一指数”。它只回答了更窄的历史问题:固定样本、固定公司行动处理和固定加仓规则下,账户发生了什么。没有对照组的收益图,不能被升级成相对业绩结论;这是下一轮研究必须补上的反证设计,而不是在文字中悄悄省略的部分。

复核还须保留三项边界:现金在除权日提前确认,真实可用日期可能较晚;送转按持股比例取整,未逐项模拟登记结算尾差、配股认购等公司行动;仅以本地缓存复算,并未完成每笔行情、公司行动与发行人公告的独立交叉审计。因此,更准确的称呼是“基于真实历史输入的账户模型”,不是券商账户实际业绩。截止日是缓存共同可用的 2026-09-04,不能冒充整个 9 月或截至发稿日的收益;9 月 7 日以后讨论的政策也没有被倒灌进这一回测。

银行不是一般公司的自由现金流估值

“用 DCF”不应被理解为把银行的经营现金流减资本开支,得到一个看似精确的自由现金流数字。对银行来说,存款、贷款、准备金和监管资本本身就是经营循环的一部分;把它们当成制造业式的营运资本,常常会得出误导性的自由现金流。

更合适的做法是把自由现金流思维翻译为可分配给普通股股东的能力,并至少用三种相互校验的框架:

框架 核心问题 对银行最关键的输入
FCFE(股权自由现金流) 在满足增长和监管资本后,普通股还能拿走多少现金? 净利润、风险加权资产增长、目标资本充足率、资本补充
股利折现(DDM) 已派与可持续股利的现值是多少? 长期分红率、盈利增速、股权成本、分红的资本约束
剩余收益(Residual Income) 未来 ROE 是否能持续超过股权成本? 期初账面价值、ROE、股权成本、留存率

一个可审计的简化关系是:可持续股利 ≈ 净利润 − 为维持目标资本率所需的留存资本;而在剩余收益框架中,价值来自 期初账面价值 + 未来(ROE − 股权成本)×期初账面价值的现值。它们都不是单一价格目标,而是迫使研究者明确:假定的 ROE、风险成本、资本率和增长是否彼此一致。

真正的股权 DCF 还需把每期可分配现金折回今天:普通股价值 = Σ FCFE_t / (1 + Ke)^t + 终值 / (1 + Ke)^N,其中 Ke 是普通股股权成本;若稳定期成立,终值 = FCFE_(N+1) / (Ke − g)。这里不是用 WACC 折现企业自由现金流,也不能把发股募集额当作老股东可持续领取的现金。增长率越接近股权成本,终值对假设越敏感;读模型时必须同时披露终值占总估值的比例,而非只展示最终价格。

实践上,我会为每家银行列出低、中、高三组情景:净息差继续收窄或企稳、信用成本上升或回落、风险加权资产增速高或低、分红率受资本约束的变化。只要高估值依赖“ROE 长期高于股权成本”且“资本无需补充”这两个乐观前提,模型就应被视为脆弱。DCF 在这里的作用是暴露假设,不是给波动中的股价盖章。

把“自由现金流”翻译为资本约束,而非报表现金流

银行版 FCFE 最容易被误用的地方,是把现金流量表中的经营现金流直接当成可派现现金。存款的流入、贷款的投放和同业头寸变化是银行的日常经营,而不是可以像工厂存货那样从“自由现金流”中剔除的项目。更贴近普通股约束的第一步近似应是:

为维持目标 CET1 比率所需留存资本
≈ 目标 CET1 比率 × 风险加权资产(RWA)增量

可持续普通股派息能力
≈ 归属于普通股的利润 − 所需留存资本 − 新增监管扣减 / 缓冲需求
  (再考虑外部普通股融资对现有股东的稀释)

这不是监管报送公式:实际 CET1 还受其他综合收益、递延税项、资本工具和监管扣减等影响;RWA 的变化也可能来自风险权重而不只是贷款增长。但它足以迫使模型回答一个常被跳过的问题:新增一元风险加权资产,究竟要锁住多少普通股资本?如果模型既假设高增长、又假设高派息、还假设不融资,它必须明确解释资本从哪里来。

利润口径也必须匹配:先从归母净利润中扣除优先股、永续资本工具等归属其他权益持有人的分配,才能讨论普通股派息能力。若目标资本率上调,还须对存量 RWA 补提资本,不能只乘新增 RWA。外部发股可以补充资本,却不是老股东自身创造的自由现金流。

在稳定增长的简化 DDM / 剩余收益交叉检验中,若增长由留存利润支撑,则 g ≈ ROE × 留存率;市净率可写作 P/B ≈ (ROE − g) / (股权成本 − g)。它要求 ROE 对应期初普通股账面价值、股权成本大于增长率,并假定无新增普通股融资、利润与账面价值变动可衔接。这不是报价公式,而是一致性检查:较低的 P/B 可能对应较低的持续 ROE,也可能对应较高的股权成本,两种解释对仓位含义完全不同。

一个能算清的例子:高增长未必意味着高派息

以下全部是教学假设,不对应任何一家银行的实际财报或目标价。假设普通股利润 100 亿元、期初 RWA 为 1 万亿元、目标 CET1 比率为 10%,且资本恰好达标。若 RWA 增长 5%,新增 500 亿元需要约 50 亿元普通股资本,简化派息能力为 50 亿元;若增长 8%,就需要留存 80 亿元,只剩 20 亿元可派。若目标比率同时从 10%升到 11%,5%增长情景下目标资本会从 1,000 亿元升至 1,155 亿元:100 亿元利润仍不足以覆盖 155 亿元新增需求,更不能把账面盈利全额派出。

再用稳定增长模型作交叉检查。固定长期增长率为 3%,下表给出不同持续 ROE 与股权成本下的理论 P/B,全部属于模型情景,不是对真实银行的估值预测。

持续 ROE 股权成本 9% 股权成本 10% 股权成本 11%
8% 0.83 倍 0.71 倍 0.63 倍
10% 1.17 倍 1.00 倍 0.88 倍
12% 1.50 倍 1.29 倍 1.13 倍

例如 ROE 为 10%、增长率为 3%时,留存率为 30%、派息率为 70%;若股权成本也是 10%,理论 P/B 正好为 1。ROE 降到 8%、股权成本升到 11%,即使仍有正增长,理论 P/B 也只有约 0.63。低于一倍市净率,可能是机会,也可能是低资本回报的合理定价。必须先回答盈利与资本假设,才有资格讨论“估值修复”。

因此,读一份银行 DCF 时可以连续追问四次:利润预测是否已扣除足够的信用成本?RWA 增长与 CET1 目标是否一致?分红率和外部融资是否同时存在且没有重复计数?最后,若 ROE 只是在一两个好年份高于股权成本,剩余收益凭什么持续?能经受这四个问题的模型,才值得拿去和市场价格比较。

股东、治理与政策:必须写进研究底稿

看银行股,不能只看利润表。谁控制资本补充、董事会任命与重大风险偏好,会影响普通股的上行与下行。以 2025 年年报披露为例,建设银行和中国银行均呈现以中央汇金、财政部等为核心的国有股权结构;招商银行的第一大股东为招商局轮船;兴业银行则具有福建省财政与省级金融投资平台的重要持股。具体比例会随报告期和股份变动变化,应直接以各公司年报的“主要股东”表复核:建设银行年报中国银行年报摘要招商银行年报兴业银行定期报告

下面这张表不是把前十大股东压缩成一个“背景标签”,而是给研究者一张控制权与资本约束的工作底稿。它按 2025 年报/相关股东披露应复核的关系分类,不写会随交易日变化的持股比例;比例、质押、关联方合计口径和董事提名权必须回到每份报告的“主要股东”“关联方”与公司章程逐项核对。

样本 研究上应识别的股东/控制关系 对普通股研究最相关的问题
工、建、农、中四家国有大行 以中央汇金、财政部等国家资本股东为核心的国有股权结构 稳定目标、资本补充与信贷投放的政策约束,如何影响 ROE、分红和每股资本?
交通银行 财政部等国有股东与战略金融投资者并存 多股东结构是否改变资本补充、治理与跨境业务风险的传导?
招商银行 招商局体系形成重要的直接和间接持股链;年报同时说明其无控股股东及实际控制人 第一大股东的影响力与法律意义上的“控制”不可混为一谈;董事会、关联交易和资本安排如何运作?
兴业银行 福建省财政厅与其全资福建金投合并持股,为披露的大股东并派驻董事 地方财政/金控平台的资本与治理角色,是否同时带来区域风险暴露与政策任务?
平安银行 平安保险集团背景的控股关系 集团资源、零售战略与资本安排,是否与少数股东的每股回报目标一致?
宁波银行 宁波地方国资与境外战略股东等多元股东关系 地方经济敞口、战略股东角色和股权稳定性是否可持续?
南京银行 地方国资、金融机构与产业资本构成的多元股东格局 股权变动、地方关联风险与外部资本进入,怎样改变治理和稀释风险?

这里的关键不是给股东“打分”,而是分清三条链:所有权链决定谁在关键时点拥有影响力;资本链决定损失发生后由谁补充资本、现有每股是否被稀释;风险链决定一家银行与地方财政、房地产、同业或集团客户的关联暴露。三者可能重合,也可能不重合。以兴业银行为例,公开的大股东评估材料披露福建省财政厅与福建金投截至 2025 年末合计持股 20.57%并派驻董事;这是一条具体、可核验的所有权与治理事实,却不能自行推出未来分红或股价结论。原始披露

为避免“看似完整、实则过期”的股权表,本文把年报链接作为入口而不是二手持股数据库:工商银行农业银行交通银行平安银行宁波银行南京银行。这些报告的报告期日、公告日与当前交易日并不相同;研究记录应保留两者,避免用报告期末股东结构冒充实时持股。

“政府持股”不是一个变量:把十多年的动作拆开

更有说服力的问法不是“国家是否持有银行”,而是哪一个国家或地方主体,在什么日期,以什么法律和资本工具,取得、转移或增加了哪类权利。财政部的特别国债、中央汇金的出资人持股、社保基金承接划转国有资本和地方国资平台的股权,不能被混写成同一种支持。平安等保险集团持股则是另一类公司控制关系,不应凭“金融集团背景”就归入政府持股。

两栏资料图:左侧按 1998、2003、2019、2023、2025 年列出财政部和中央汇金的资本与持股动作;右侧列出工商银行、农业银行、兴业银行、宁波银行、南京银行和平安银行的日期化股权快照。
图 4|国家与地方资本的持股路径。它不是同一交易日的完整股东名册,而是把不同日期、不同主体和不同动作并列,防止把“资本补充”“国有股划转”“二级市场增持”误读为同一件事。

图中的关键数字均可回到原始披露。以四大行中的两家为例,工商银行 2025 年主要股东评估披露中央汇金、财政部和社保基金理事会(A+H 合计)分别持有 34.79%、31.14%和 5.35%;农业银行同期披露三者分别为 40.14%、35.29%和 6.72%。这不是“政府会为普通股兜底”的证据,而是说明研究每股资本、股东权利和国有资本变动时,必须把多个主体的份额合并或分开,并注明持股口径。工商银行 2025 年主要股东评估农业银行 2025 年主要股东评估

历史路径同样不能只看“中央汇金”。工商银行 2024 年报摘要记录,财政部 2019 年一次性将 12,331,645,186 股 A 股划转至社保基金国有资本划转账户;该动作改变的是国家资本的持有主体和禁售安排,并非公司从二级市场回购或新增利润。2023 年中央汇金公开增持四家国有大行 A 股,属于控股股东的二级市场动作;2025 年则出现了财政部以现金认购定向发行、补充核心一级资本的公司行为,例如建设银行向财政部发行 11,589,403,973 股 A 股、募集 1,050 亿元,中国银行公告的财政部现金认购规模上限为 1,650 亿元并随后完成发行。工行 2024 年报摘要2023 年汇金增持披露建行 2025 年报中行完成发行公告

地方与集团股东的路径也会变化。兴业银行 2025 年材料显示福建省财政厅与福建金投合计持股 20.57%并派驻董事;宁波银行官方介绍写明宁波开发投资与一致行动人合计代表政府持有约 20%,但该简介未标明股权快照日期,不能冒充实时名册。南京银行 2015 年报中法国巴黎银行为 14.87%、南京紫金投资为 12.41%,是境外金融机构与地方国资并存的例子。平安银行 2015 年报则记录了一条更清晰的控制权变化:2011 年重组后中国平安与平安寿险合计 52.38%,2013 年定增后为 59%,2015 年 5 月定增后为 58%。不能因为数字出现在“2015 年报”里,就把其中的 2011 年历史数字当作 2015 年末持股。兴业银行披露宁波银行简介南京银行 2015 年报平安银行 2015 年报“历次控股股东变更”

对普通股研究,最实用的结论是:把每一笔“国家资本动作”放进三栏——它改变的是银行的资本金股东之间的权利分配,还是二级市场的持股?只有第一类直接增加损失吸收能力;第二类可能影响控制权与每股稀释;第三类主要影响市场信号。三者都可能重要,但没有一类能自动给普通股回报作担保。

政策时间线也值得和估值模型并排放置:

时间 公开动作 对普通股研究意味着什么
1998—1999 特别国债补充国有独资商业银行资本、四家金融资产管理公司承接不良资产 系统性风险处置会改变资本与资产负债表,历史利润不可孤立外推。1998 年文件1999 年文件
2003—2005 中央汇金设立、向国有大行注资并伴随股份制改革与上市 国家资本出资人、公司治理与市场化上市是不同层次的安排;应分别看资本来源、董事会机制与每股权益变化。官方改革回顾
2019 监管部门接管包商银行 单家机构的流动性、治理与风险处置不能只用“大而不倒”想象替代。国务院报道
2023 中央汇金增持四家国有大行 控股股东行动可影响市场预期,但不是对所有银行估值的无条件背书。新华社公告
2025 财政部发行首批特别国债、支持国有大行补充核心一级资本 资本约束和宏观政策会直接影响分红、增长和稀释风险;应把它视为情景输入。财政部说明
2026-09-07 财政部公告近期将发行特别国债 3,000 亿元,支持包括工行、农行在内的八家中央金融企业补充核心一级资本 3,000 亿元是八家机构的总安排,不是每家银行的金额,也不是已完成注资证明;须继续核对各家发行、认购与资本到账。该公告晚于本文回测截止日。财政部原文

“国有背景”因而应被理解为治理与政策传导的一部分,而不是自动的估值因子。它可能降低某些尾部风险,也可能带来资本配置、让利和治理目标与普通股短期回报不完全一致的情况。研究者至少要区分系统稳定性、存款人与债权人的保护、以及普通股股东的收益权,这三件事并不相同。

长期持有真正考验的,是心理账户

银行底仓最容易诱发两种相反但同样危险的心理反应:第一种是把季度分红或低市净率当成“不会跌”的许可;第二种是在宏观叙事转坏、股价已经深度回撤时把整个研究框架扔掉。前者忽略风险,后者忽略了自己一开始愿意持有风险资产的理由。

更有用的心理纪律不是强行乐观,而是在买入前写下可检验的承诺:我能承受多少回撤?出现哪些指标恶化时暂停加仓?股息削减、资本充足率压力、不良生成、公司治理事件和融资稀释分别如何改变仓位?若这些问题没有答案,所谓“长期”只是在把退出决定推迟给最恐慌的那一天。

可以把这些承诺落成一张季度研究表。下面是复核方法,不是适用于所有银行的统一买卖阈值;大型银行、股份行和城商行应与自身历史及同类机构比较。

观察项 容易误读的单一数字 应同时核对的证据与处理
资产质量 不良率下降就等于风险下降 结合关注类、逾期迁徙、新增不良、核销与贷款增速;若核销增大才压低不良率,先复核损失而非机械加仓。
资本缓冲 总资本充足率高就能多分红 单独看 CET1、RWA 增速和特定机构适用的资本要求;优先股或二级资本不能代替普通股资本。
盈利能力 净利润正增长就代表改善 检查息差、拨备前利润、信用成本与普通股 ROE;利润是否依赖降低拨备或一次性项目?
股东与融资 大股东增持等于每股增值 区分二级市场买股、划转与新增发行;核对发行价格、普通股股数和每股净资产。
家庭承受力 有剩余额度就应继续投入 先覆盖预定生活支出;若压力期被迫卖股,再漂亮的终值也不能实现。

研究纪律与回测规则必须分开:本文机械情景没有上述暂停条件,不能把一个未经建模的风控清单当成已经改善历史收益的证据。它的用途,是帮助下一次决策避免只有“跌了,所以更便宜”这一条理由。

可以把分红视为一种行为支持:它让持有人在价格不涨时仍看见部分现金回流。但分红绝不应成为忽略资产质量的麻醉剂。本文情景中,未再投资的分红构成期末现金的重要部分,同时最大回撤仍接近四成;这两个事实必须一起被记住。

从行为上看,长期持有不是“耐心”这个人格特质,而是一个把错误时点决策变得更难发生的账户设计。最少应把账户拆成三本账:价格账记录市值和回撤,防止只因成本价锚定而决策;现金账记录分红、可用追加额度和未来支出,防止把分红误认为可以无限承担风险;研究账记录季度指标与否决条件,防止每次下跌都临时更改理由。三本账的数字会不一样,正因为不一样才不能互相替代。

本文的 2015 年案例提供了一个实际压力测试:先看到高点、再承受 -36.9%、约两年后才收复旧高。任何“逢低加仓”规则都应先问:若这段恢复期延长一倍、分红下降、或家庭现金流恰好需要用钱,我还会不会执行?若答案是否定的,正确的调整可能是更小的权益仓位或更大的现金缓冲,而不是给规则再加一个更漂亮的回测阈值。

结论、反证与执行清单

银行股可以是 A 股长期底仓的候选之一,前提是研究结论保持在它真正能支撑的位置:成熟银行的资本、分红和披露机制使其适合长期跟踪;分散到不同类型银行、以总回报而非单年股息衡量、并把资本与治理风险纳入估值,能让底仓命题变得可检验。它不能推出“银行股必然胜过其他行业”,更不能推出“下跌必会被分红弥补”。

在行动前,至少完成这份清单:

  1. 核对最新年报中的资本、拨备、不良、息差、分红方案及前十大股东,而非复述旧数字;
  2. 用 FCFE、DDM 或剩余收益中的至少两种框架交叉检查,并对 ROE、信用成本和资本率做压力测试;
  3. 预先设定行业和单一银行的仓位上限,以及何时暂停加仓;
  4. 把账户可能出现 30% 以上回撤的情景写入自己的现金流计划;
  5. 区分研究案例、个人风险承受能力与适当性建议;如需具体投资建议,应咨询具备资质的专业人士。

最好的长期持有,不是“买完以后不再看”,而是用一组事先写明的指标,持续检查最初的理由是否还成立。那才是把银行放入底仓时,分红、估值与心理耐受真正能够彼此配得上的方式。

The most visible reward from holding bank shares for years is the dividend. What is easiest to underestimate is what an investor must endure before receiving it. In this historical scenario, an initial RMB 500,000 account with rule-based additions eventually held substantial stock and cash. The same path also fell nearly 40 percent from its high and took more than two years to recover. The claim that banks can form a long-term core allocation in China’s A-share market deserves serious study, but a high yield or state ownership cannot establish it. Total return, capital constraints, shareholder governance, and holding discipline belong on the same research map.

Define the core-holding claim before judging it

Here, a “core holding” is neither a trading basket for predicting short-term moves nor a concentrated industry bet. It is an equity position intended for low-turnover, long-duration ownership while remaining subject to continuing risk review. The case for putting banks in that role is that they remain central to household saving, business finance, and payment clearing; mature banks regularly disclose profits, capital, and distribution policy; and their ownership and regulatory structures make risks open to inspection. None of this means the state protects every common shareholder from loss.

At the end of the fourth quarter of 2025, China’s banking financial institutions reported RMB 480 trillion in assets. Commercial banks reported a 1.50 percent non-performing loan ratio, 205.21 percent provision coverage, and a 15.46 percent capital adequacy ratio, while net interest margin had fallen to 1.42 percent. The sound reading is that capital buffers remained and margin pressure was real. The asset total and the four ratios do not use identical reporting populations, and industry averages cannot substitute for analysis of one bank. See the National Financial Regulatory Administration indicators republished by the China Banking Association.

A research framework for long-term bank holdings combines cash return, capital and risk, shareholders and governance, and holding discipline.
Diagram | Bank research is not a high-yield screen. It is four mutually constraining modules.

The ten securities below are therefore a fixed research sample that was tradable in 2015, not a current top-ten list or a recommendation: ICBC (601398), China Construction Bank (601939), Agricultural Bank of China (601288), Bank of China (601988), Bank of Communications (601328), China Merchants Bank (600036), Industrial Bank (601166), Ping An Bank (000001), Bank of Ningbo (002142), and Bank of Nanjing (601009). The set includes large state banks, joint-stock banks, and city commercial banks so that different funding structures, regional exposures, and governance are not compressed into one “bank” label.

The results require that caution. From January 5, 2015 to September 4, 2026, the ten securities’ pretax dividend-reinvestment total-return indices ended between 1.44 and 4.52, a ratio of roughly 3.13 between the highest and lowest. Those indices reinvest dividends at the ex-date close. The portfolio account later in the article retains dividends as cash, so the two measures must not be mixed. Industry diversification reduces dependence on one bank; it does not make earnings quality, capital consumption, or governance identical. An industry average conceals the selection risk an investor actually carries.

A horizontal bar chart shows pretax dividend-reinvestment total-return multiples for ten fixed bank stocks from early 2015 to September 2026, ranging from 1.44 for Ping An Bank to 4.52 for Bank of Ningbo.
Figure 1 | Dispersion in realized history. Each stock uses a pretax dividend-reinvestment index including stock distributions and excluding trading costs. It is not the cash-dividend account below. “Banks” is a starting point for research, not a substitute for company analysis.

A dividend is cash flow, not total return

A long-term shareholder receives more than a static yield. Return combines cash paid out, retained capital that continues to produce profit inside the bank, and the market’s repricing of future asset quality, rates, and capital constraints. The first two are traceable in reports and distribution plans; the third can produce large price movements. Yield alone mixes cheap valuation, low growth, rising risk, and a one-time high payout.

Net interest margin illustrates the tension. The People’s Bank of China’s first-quarter 2025 monetary-policy report discussed rates, credit delivery, and financial-institution operations within one macro framework. Investors should treat margin, funding cost, loan repricing, and credit cost as linked variables rather than extrapolating a quarter’s profit forever. The original report is available for review.

For a core position, a more useful sequence is:

  1. Begin with capital ratios, provisions, new non-performing formation, and write-offs to judge whether dividends can survive loss absorption.
  2. Examine margin, non-interest income, and cost-to-income ratio for the durability of profit.
  3. Compare payout, cash flow, and capital-raising plans to separate distributable capacity from cash already distributed.
  4. Only then place price-to-book, dividend yield, or a dividend model inside a comparison of risk premia.

The IMF’s 2025 Financial System Stability Assessment for China similarly put the property adjustment, local-government financing vehicles, and macro stress tests in the risk background. Low valuation is not an automatic margin of safety; correlations among risky assets tend to rise under stress. See the IMF assessment summary.

A testable approximation is more useful than “high yield”: shareholder total return ≈ cash dividend yield + growth in book value per share + change in price-to-book. Return on equity, payout, credit cost, and capital constraints jointly shape the first two terms. Expectations and required returns shape the last. This is not a precise valuation equation, but it avoids two common errors: assuming that a falling price-to-book must reverse because the stock is cheap, or that profit growth can all be paid to shareholders.

The falsifier becomes clearer. If a bank’s ROE is falling, risk-weighted asset growth still consumes substantial capital, and investors demand a higher cost of equity, distributable capacity and valuation can weaken even before the quoted yield falls. Conversely, steadily improving profit, buffers, and book value per share need not be refuted by a temporarily flat price. The object to track is continued value creation per share, not merely a return to the purchase price.

Credit, balance sheets, and capital run on different clocks

“Hold for the long run and pass through the cycle” is easier to say than to test. Banks do not only bear a cycle; credit decisions, collateral values, and capital constraints can amplify or damp it. A core-holding thesis therefore requires more than a forecast of economic recovery. Who repays debts created during the previous expansion? Who absorbs losses after collateral falls? After the losses are handled, how much profit can each common share still produce?

1. Separate four clocks instead of treating the cycle as a calendar

The BIS distinguished conventional business cycles from financial cycles in its 2014 Annual Report. The former center on output and activity; the latter on the mutual reinforcement of credit, property prices, and financing constraints. In the historical samples it discussed, ordinary business cycles often lasted one to eight years and financial cycles roughly fifteen to twenty. These are empirical features of particular samples and methods, not a law that fixes the bottom of China’s economy or A shares at regular intervals. Source: BIS 2014 Annual Report, Chapter IV.

For bank research, record four clocks separately. This is an analytical framework, not four estimated Chinese cycle series. They may overlap or diverge and can be changed by institutions and policy.

Clock What to observe Why might bank shares lag or lead?
Economy and investment Orders, income, investment plans, employment, household cash flow Current income can improve before legacy leverage is repaired; borrowers recover at different rates across regions and industries.
Credit and asset prices Debt expansion, property prices, collateral values, financing conditions A boom can accumulate risk whose losses appear only after growth slows; quarterly GDP is not a complete risk proxy.
Money and funding cost Policy rates, loan repricing, deposit cost, funding maturity Lower rates may help borrowers while reducing bank asset yield; liabilities need not reprice at the same speed.
Bank capital and accounting recognition Credit cost, write-offs, CET1, RWA, common-equity issuance Old losses and capital repair may continue after the economy stabilizes; dividends need not turn with activity.

Share prices add a clock of expectations. They may anticipate repair before accounts improve or fall while profit grows if the risk premium rises. The bottom in activity, peak credit losses, trough in common-equity profit, and low in share prices should not be treated as one date. Buying after an economic indicator improves does not guarantee a low price; an early rally does not establish repaired asset quality. This article describes mechanisms of divergence and does not estimate a fixed lead for A shares.

A 2018 BIS study of financial cycles and recession risk used quarterly data for 16 advanced economies from 1985 through 2017. That boundary matters. It supports studying financial variables as recession signals, but it cannot provide a Chinese bank purchase year, target price-to-book ratio, or averaging threshold. See “The financial cycle and recession risk”. Cycle theory is useful because it stops one short clock from explaining every long-run risk.

2. Minsky: risk may accumulate when conditions look most stable

Hyman Minsky’s 1992 paper divided financing into hedge finance, where cash flow covers interest and principal; speculative finance, where interest can be paid but principal requires refinancing; and Ponzi finance, where operating cash flow cannot cover interest and new borrowing or asset sales maintain the position. “Ponzi” here is a theoretical cash-flow category, not an accusation of fraud; “hedge” does not refer to a hedge fund. Source: Minsky’s paper and the Levy Institute summary.

For bank analysis, the point is not to label every borrower. It is to identify the source of repayment. Does a loan rely on operating income, on refinancing at maturity, or on continuously rising collateral? All three can service interest in good times but withstand weaker cash flow and tighter finance differently.

Minsky’s warning is that a long expansion can change risk appetite and financial structure; apparent stability need not mean a growing margin of safety. The relevant bank-research question is whether a low NPL ratio reflects stronger borrower cash flow, a denominator enlarged by loan growth, renewed loans delaying recognition, or write-offs removing old balances. These are hypotheses to check, not grounds to accuse a bank of concealment. A stable NPL ratio is not a reason to stop checking special-mention loans, overdue migration, and cash collection.

3. The financial accelerator: asset prices can feed back into credit

Bernanke, Gertler, and Gilchrist’s financial-accelerator framework explains how credit-market friction amplifies and transmits macro shocks rather than treating finance as a passive conduit. Source: NBER Working Paper 6455, 1998. The implication for bank holdings is that pressure can come not only from fewer loans but also from feedback among thinner borrower net worth, tighter financing conditions, and higher credit costs.

A typical collateral loop is easy to describe. Credit expansion supports asset transactions; rising assets improve collateral and financing access; more finance supports further expansion. When cash flow or asset prices weaken, the feedback can reverse. The following diagram is a mechanism, not attribution for every crisis or a measured path for China. Its central reminder is that a bank holds a loan contract backed by borrower cash flows and assets that move with the economy.

A cycle mechanism links credit expansion, weaker borrower cash flow and collateral, bank loss recognition, and repair of capital and value per share, while distinguishing repayment capacity, bank capital, and common-shareholder return.
Mechanism | The cycle reaches common equity through borrowers, credit losses, and capital. This original synthesis follows the cited financial-cycle and accelerator research; it is neither dated to specific years nor a measured or inevitable sequence.

The mechanism also qualifies the phrase “defensive bank stocks.” Stable funding and mature earnings do not prevent losses from clustering under stress. Diversifying among ten banks can reduce one company’s governance or execution risk without diversifying a common change in property collateral, regional industry stress, or weak credit demand. In the historical account below, 16 additions clustered in January 2016. That is a feature of the account rules, not evidence of an identified macro turning point.

4. Balance-sheet recession: why cheap money may not create borrowing

Richard Koo’s 2011 paper used Japan after its asset bubble to describe a mechanism different from ordinary demand fluctuation. When asset values fall but debt remains, firms and households may prioritize debt reduction and balance-sheet repair over new borrowing and investment. Low rates and abundant liquidity may then fail to restore private credit demand quickly. Source: “The world in balance sheet recession: causes, cure, and politics”, especially the opening mechanism and Japanese case.

Two effects should be separated in bank analysis. A lower financing burden may reduce borrower defaults, while active deleveraging and deferred investment weaken demand for good loans. Both can occur. “Rate cuts help the real economy” does not translate directly into “bank profits rise.” Bank returns also depend on asset yield, deposit repricing, credit losses, and whether new assets cover the cost of capital.

This is a conditional explanation, not a label for China as a whole. Testing it in an industry or region requires borrower net financing, debt service, investment, and cash flow. A news item or a falling share price is insufficient. Japan’s experience does not establish that China must repeat the same duration.

5. China: financial stability and shareholder profitability need separate tests

The IMF’s April 4, 2025 Financial System Stability Assessment for China is directly relevant. It credited regulatory reforms and the capital and liquidity buffers of large banks while also pointing to property adjustment, local-government financing vehicles, the effect of accommodative monetary conditions on organic profitability, and the greater vulnerability of some smaller banks. It supports neither simple optimism nor pessimism. Stability and profitability must be verified separately. See the IMF summary. It describes that assessment, not a live risk rating for September 2026.

Debt extension can relieve a borrower’s current principal burden without raising the project’s future income. A capital injection can increase a bank’s loss-absorbing and lending capacity, while the new share count, issue price, and later return on capital determine whether existing shareholders benefit. The Ministry of Finance, Central Huijin, and local-state actions described later belong in two separate chains: one tests credit and institutional stability; the other tests earnings, book value, and distributions per common share. Policy support does not prove the core-holding case if the second chain is omitted.

The Basel Committee’s 2010 countercyclical capital-buffer guidance makes the same distinction. Its purpose is to build protection when excess credit growth raises systemic risk and release it under stress to reduce the effect of capital constraints on credit supply. Source: BCBS guidance. This explains an international framework, not a claim that China had made a particular release. Applicable domestic requirements and bank-level rules must be checked. Protecting financial intermediation does not guarantee a common-equity return at every purchase price.

6. Put the cycle into valuation without making the best year perpetual

The FCFE, dividend, and residual-income models below need more than the latest ROE. They need assumptions that pass through loss recognition and capital repair. A practical approach separates pre-provision operating capacity from credit cost and asks whether favorable years relied on unusually low losses, rising assets, or rapid loan expansion. A ten-year simple average is not automatically cycle-neutral if the sample never includes concentrated loss recognition.

Stable ROE deserves special care. A high ROE under low credit costs should not enter a terminal value unchanged; weak profit under stress need not mean permanent impairment. The question is whether losses are a one-time clearing of a stock problem or whether the business persistently fails to cover credit and capital costs. This worksheet organizes scenarios and does not classify the ten banks today.

Analytical scenario Variables that should move together Falsifier that cannot be skipped
Expansion Faster loan/RWA growth, possibly low current credit cost, greater retained-capital need Does high ROE depend on excess expansion or refinancing borrowers? Can high growth coexist with high payout?
Loss recognition Higher credit cost, lower profit, possible capital deductions or risk-weight changes Is the dividend consuming buffers? Will a capital gap require new common shares?
Balance-sheet repair Loss recognition and disposal, funding-cost adjustment, gradual borrower cash-flow recovery Is cash collection improving, or have repayment and recognition merely been delayed? What capital and time does repair consume?
Normalization Sustainable ROE, normal credit cost, supportable RWA growth and payout Does the model restore peak profitability too soon? Are growth and retained capital consistent?

Nor does “the cycle returns” mean price-to-book must revisit its old high. A weaker funding advantage, competition that lowers normalized margin, or permanently higher capital requirements can reduce normal ROE. Economic activity may revert without restoring the old profit center. A cycle can support the holding case only if the mechanism of common-equity value creation remains intact.

7. When averaging down, ask whether price or the premise became cheaper

Cycle research does not replace trading rules, but it reveals their blind spots. The 20 and 35 percent drawdown thresholds below use price and dividend indices only. They observe neither borrower repayment, bank buffers, dilution, nor macro cycles. They form a mechanical historical scenario, not a validated “buy the cycle bottom” strategy. Nothing in this section changes the backtest or gives its thresholds retroactive theoretical authority.

A better next step puts current price drawdown alongside credit fragility, bank buffers, and value-per-share changes. BIS research on early-warning indicators for banking crises examined credit-to-GDP gaps and debt-service ratios. The first measures credit’s deviation from trend; the second principal and interest burden relative to income. These are systemic-risk tools, not stock-return forecasts or ready-made Chinese trading signals. Source: Drehmann and Juselius, BIS Working Paper 421, 2013.

Three review questions follow. Does the borrower still have a source of repayment? Can the bank maintain its capital requirement after recognizing reasonable losses? Under the current share count, can common dividends and normalized ROE still support the valuation? The aim is not to call the exact bottom but to distinguish a lower price on an intact foundation from a lower price accompanied by weaker value.

Any future macro backtest must preserve the data actually published at each date and its release lag, including revisions and endpoint problems in trend estimates. Today’s complete history cannot be used to pretend that an investor saw the cycle bottom at the time. For holding discipline, cycle theory is most useful when it encourages cash preparation for long repairs instead of using “already down a lot” to exhaust every addition too early.

A 2015–2026 scenario: RMB 500,000 plus up to RMB 500,000

This is neither a forecast nor a directly reusable recommendation. Fixed parameters set today are applied to history. The narrow question is what happened when ten sample stocks began at equal weights in early 2015 and received mechanical additions after large drawdowns, combining prices with pretax cash dividends. It does not imply that an investor in 2015 had already selected these parameters or companies for these reasons.

The thresholds were triggered in 2016 and 2022, so the rule used only RMB 425,000 of the RMB 500,000 additional capacity. “Up to” does not mean the full amount must be deployed.

Scenario External contributions Value on 2026-09-04 Pretax dividend cash within value Cumulative return on contributed capital Money-weighted annual return Maximum drawdown (time-weighted)
RMB 500,000 initially, no additions RMB 500,000 RMB 1.202m RMB 313,000 140.5% 7.8% -36.9%
RMB 500,000 initially, rule-based additions RMB 925,000 RMB 2.282m RMB 572,000 146.7% 8.5% -36.9%
RMB 1m invested once in early 2015 RMB 1m RMB 2.415m RMB 629,000 141.5% 7.9% -37.1%

Separate three return measures

Cumulative return is ending value divided by actual cumulative contributions minus one. It ignores contribution dates and cannot be annualized by dividing by years. Money-weighted annual return (XIRR) uses each contribution date and ending value to answer what the invested money earned along that funding path. Time-weighted return removes the effect of external cash flows day by day to describe the account’s internal asset growth. The model treats contributions as arriving at the start of a trading day, marks stocks at the close, and pays no interest on cash.

The three time-weighted annual returns were about 7.65, 7.65, and 7.69 percent. The 8.5 percent XIRR for rule-based additions minus the 7.8 percent XIRR without additions is therefore not repeatable stock-selection or timing alpha. Contribution timing, holdings, and cash all affect it. The one-time RMB 1 million scenario ended higher partly because more money entered earlier.

Two charts compare time-weighted wealth indices for three funding paths and show drawdown for the rule-based account. Its maximum drawdown was 36.9 percent on August 25, 2015.
Figure 2 | The curves ask whether the path was bearable, not whether the endpoint is attractive. Both use complete daily data. The upper chart removes external cash-flow effects; the lower shows the rule account’s realized maximum drawdown.

The -36.9 percent path is the number not to overlook. The account reached a high on June 8, 2015, hit maximum drawdown on August 25, and did not exceed the old high until August 2, 2017—786 calendar days later. Ending with RMB 2.282 million did not make the experience easy. An investor unable to accept a fall near 40 percent, or unwilling to continue the rule afterward, could not realize the terminal figure. Additions raised the money-weighted return in this sample but did not remove drawdown or prove that the next stress period will follow the same sequence.

The “diversified” addition rule was not diversified in stress. All ten first additions at a 20 percent drawdown executed on January 12, 2016. Of seven second additions at 35 percent, six occurred in January 2016 and one for China Merchants Bank on May 10, 2022. Sixteen of seventeen additions clustered in one month. The rule was still in its 250-day warm-up during the 2015 maximum drawdown, so this does not establish that additions generally fail to reduce drawdown. It does establish that ten banks did not create seventeen independent opportunities. Holding ten banks does not create ten independent sources of risk under common credit, liquidity, and rate stress.

Annual pretax cash dividends in the rule-based account rose from RMB 19,000 in 2015 to RMB 83,000 in 2025; 2026 shows RMB 46,000 through September 4.
Figure 3 | Historical cash-dividend ledger. The 2026 bar is a partial period through September 4. Amounts are pretax, not reinvested, and recognized by the model on ex-dates rather than actual bank-account payment dates.

Figure 3 does not show dividend capacity compounding at that rate every year. Concentrated additions in 2016 increased the share count; stock distributions and later additions changed it again. Company dividend growth requires decomposing total cash into shares held times dividend per share.

The ending account reconciles as follows: RMB 1.6933 million in stock + RMB 572,100 in pretax dividend cash + RMB 16,700 left after whole-lot purchases = RMB 2.2821 million. Total commission of RMB 272.41 was deducted in purchase costs. The unused RMB 75,000 addition budget never entered the securities account and is not in its cash or value. If treated as household reserve cash earning zero, the full RMB 1 million budget ended at RMB 2.3571 million, a cumulative 135.71 percent. That household-budget denominator must not be mixed with the RMB 925,000 actually contributed in the table.

What did each bank contribute?

The ledger below is from the rule-based scenario. Amounts are RMB 10,000 and rounded to two decimals. “Budget” includes unspent remainder after purchases; “purchase cost” includes commission. Dividend cash is already inside account cash and must not be added again to ending value.

Bank Budget Purchase cost Ending stock value Cumulative pretax dividends Additions
ICBC 7.50 7.47 12.85 5.01 1
China Construction Bank 10.00 9.85 18.67 6.58 2
Agricultural Bank of China 7.50 7.45 14.76 4.92 1
Bank of China 10.00 9.95 16.75 5.96 2
Bank of Communications 10.00 9.91 11.65 5.80 2
China Merchants Bank 10.00 9.53 21.26 7.47 2
Industrial Bank 7.50 7.26 8.02 4.35 1
Ping An Bank 10.00 9.85 11.73 3.41 2
Bank of Ningbo 10.00 9.78 33.73 6.12 2
Bank of Nanjing 10.00 9.77 19.93 7.61 2

Source: local calculation output rule_additions_per_bank.csv. This is not a return ranking: contribution dates and amounts differ, and the portfolio is not rebalanced. Initial equal weights do not remain equal. Bank of Ningbo ended at about 19.9 percent of stock value, nearly twice its initial 10 percent. Whether to restore target weights is a separate strategy question.

The script, orders, daily net asset value, individual dividends, and de-duplicated corporate-action records are stored with the repository under research/experiments/a_share_bank_core_holdings_v1/ and can be recalculated on the same basis. “Dividend contribution” means pretax cash not reinvested; total return includes that cash alongside closing market value.

Public reproduction materials: offline calculation script, scenario comparison, and per-bank ledger. The repository preserves outputs, but these links do not imply that the local source price database is distributed in Git.

This study has no CSI 300, bank index, or dynamic investable-universe control. It cannot answer whether the ten-bank portfolio beat an index. It answers only what happened to a fixed sample under a fixed corporate-action treatment and addition rule. A return chart without a control cannot become a relative-performance claim. Adding the missing comparison is a falsification design for later work, not a detail to omit from the prose.

Three more boundaries remain. Cash is recognized on ex-dates even though the real spendable date may be later. Stock distributions are rounded to holdings, without modeling every clearing remainder, rights subscription, or corporate action. The calculation uses local caches and has not independently cross-audited every quote and action against issuer notices. “An account model using real historical inputs” is more accurate than “brokerage-account performance.” The common cache cutoff is September 4, 2026, not the full month or publication date, and policies discussed after September 7 are not inserted retrospectively into the test.

A bank is not valued like an ordinary company’s free cash flow

“Use a DCF” should not mean subtracting capital expenditure from a bank’s operating cash flow and calling the remainder free cash flow. Deposits, loans, reserves, and regulatory capital are the operating cycle itself. Treating them like a manufacturer’s working capital often produces a misleading number.

A better translation of free-cash-flow thinking is capacity distributable to common shareholders, cross-checked through at least three frameworks:

Framework Core question Inputs that matter most for a bank
FCFE After growth and regulatory capital, how much cash can common equity receive? Net income, RWA growth, target capital ratio, capital issuance
Dividend discount model What is the present value of paid and sustainable dividends? Long-run payout, earnings growth, cost of equity, capital constraint on distributions
Residual income Can future ROE remain above the cost of equity? Opening book value, ROE, cost of equity, retention rate

One auditable approximation is sustainable dividend ≈ net income − retained capital needed to maintain the target capital ratio. In residual income, value begins with opening book value + the present value of future (ROE − cost of equity) × opening book value. Neither produces one automatic price target. Both require internally consistent assumptions about ROE, credit cost, capital, and growth.

A full equity DCF discounts each period’s distributable cash: common-equity value = Σ FCFE_t / (1 + Ke)^t + terminal value / (1 + Ke)^N, where Ke is the cost of common equity. Under stable growth, terminal value = FCFE_(N+1) / (Ke − g). This is not a WACC discount of free cash flow to the firm, and proceeds from issuing shares are not sustainable cash produced for existing holders. As growth approaches the cost of equity, terminal value becomes extremely sensitive; a model should disclose the terminal share of total value instead of showing only its final price.

In practice, each bank needs low, central, and high cases that connect margin narrowing or stabilization, credit-cost increases or declines, faster or slower RWA growth, and payout constrained by capital. If the high valuation requires both permanently high ROE over the cost of equity and no future capital need, it is fragile. Here, DCF exposes assumptions; it does not certify a volatile market price.

Translate “free cash flow” into a capital constraint

The common error in bank FCFE is to treat cash from operations as distributable. Deposit inflows, new lending, and interbank positions are ordinary banking activity, not inventory adjustments to remove from free cash flow. A first approximation closer to the common-equity constraint is:

Retained capital required to maintain target CET1
≈ target CET1 ratio × increase in risk-weighted assets (RWA)

Sustainable capacity for common dividends
≈ profit attributable to common equity − required retained capital
  − new regulatory deductions / buffer requirements
  (then account for dilution from external common-equity issuance)

This is not a regulatory reporting formula. Actual CET1 also reflects other comprehensive income, deferred tax, capital instruments, and deductions. RWA can change because of weights rather than loan growth. The approximation nevertheless forces a neglected question: How much common equity must be locked up for one additional unit of RWA? A model that assumes high growth, high payout, and no financing must identify the source of the capital.

Profit must also match the claim. Distributions owed to preferred shares, perpetual capital securities, and other equity holders should be deducted from profit attributable to the parent before discussing common dividends. If the target capital ratio rises, existing RWA also requires more capital. External issuance replenishes capital but is not free cash flow created by existing holders.

In a stable-growth DDM or residual-income check funded by retained profit, g ≈ ROE × retention rate, and P/B ≈ (ROE − g) / (cost of equity − g). ROE must use opening common book value, cost of equity must exceed growth, and the simplified relation assumes no new share issue and continuity between earnings and book value. It is a consistency check rather than a quote. A low P/B can mean low sustainable ROE or a high required return; those interpretations have very different portfolio implications.

A worked example: high growth need not mean high payout

Every number in this example is illustrative and refers to no bank’s actual accounts or price target. Assume RMB 10 billion of common profit, opening RWA of RMB 1 trillion, and a 10 percent target CET1 ratio that is exactly met. Five percent RWA growth adds RMB 50 billion of RWA and needs roughly RMB 5 billion of common capital, leaving simplified distribution capacity of RMB 5 billion. At eight percent growth, RMB 8 billion must be retained, leaving RMB 2 billion. If the target ratio also rises from 10 to 11 percent, the five percent growth case raises required capital from RMB 100 billion to RMB 115.5 billion. Profit of RMB 10 billion cannot cover the RMB 15.5 billion increase, much less be fully paid out.

Now use a stable-growth cross-check with long-run growth fixed at three percent. The theoretical P/B values below are model scenarios, not forecasts.

Sustainable ROE Cost of equity 9% Cost of equity 10% Cost of equity 11%
8% 0.83x 0.71x 0.63x
10% 1.17x 1.00x 0.88x
12% 1.50x 1.29x 1.13x

At 10 percent ROE and three percent growth, retention is 30 percent and payout 70 percent. With a 10 percent cost of equity, theoretical P/B is one. If ROE falls to eight percent and cost of equity rises to 11 percent, theoretical P/B is about 0.63 despite positive growth. A price below book may be an opportunity or a reasonable price for weak capital returns. Profit and capital assumptions must come first.

Ask four consecutive questions of a bank DCF. Does projected profit deduct sufficient credit cost? Is RWA growth consistent with the CET1 target? Do dividends and external financing coexist without double counting? If ROE exceeded the cost of equity only in one or two favorable years, why should residual income persist? A model that survives those questions is worth comparing with market price.

Shareholders, governance, and policy belong in the research file

A bank cannot be read from the income statement alone. Control over capital raising, board appointments, and risk appetite affects common equity on both the upside and downside. As examples from 2025 annual reports, China Construction Bank and Bank of China had state-ownership structures centered on Central Huijin and the Ministry of Finance; China Merchants Bank’s largest shareholder was China Merchants Steam Navigation; Industrial Bank had major holdings from the Fujian finance department and a provincial financial-investment platform. Percentages change with reporting periods and transactions, so they should be checked in each “major shareholders” table: China Construction Bank, Bank of China summary, China Merchants Bank, and Industrial Bank reports.

The table is a control and capital-constraint worksheet, not a reduction of top shareholders to background labels. It classifies relationships to verify in 2025 reports and related disclosures without presenting trading-day-sensitive percentages. Percentages, pledges, aggregation of connected parties, and board-nomination rights require line-by-line checking against company reports and articles.

Sample Ownership or control relationship to identify Common-equity question
ICBC, CCB, ABC, BOC State ownership centered on Central Huijin, the Ministry of Finance, and other state-capital holders How do stability goals, capital support, and policy lending affect ROE, dividends, and capital per share?
Bank of Communications State shareholders including the Ministry of Finance alongside a strategic financial investor Does a multi-shareholder structure alter capital raising, governance, and transmission of cross-border risk?
China Merchants Bank Important direct and indirect holdings in the China Merchants group; the annual report also says it has no controlling shareholder or actual controller Do not confuse influence of the largest shareholder with legal control; how do the board, related transactions, and capital plans operate?
Industrial Bank Fujian’s finance department and wholly owned Fujian Financial Investment together form the disclosed large holding and appoint directors Does a local fiscal/financial platform bring both a capital and governance role and regional policy exposure?
Ping An Bank Controlled within the Ping An insurance group Are group resources, retail strategy, and capital plans aligned with return per share for minorities?
Bank of Ningbo Local Ningbo state capital and overseas strategic investors among a diverse shareholder base Are local exposure, the strategic investor’s role, and equity stability sustainable?
Bank of Nanjing Local state capital, financial institutions, and industrial capital in a diverse structure How do ownership changes, local related risk, and outside capital alter governance and dilution?

The purpose is not to score shareholders. It is to separate three chains. The ownership chain determines who has influence at critical moments. The capital chain determines who supplies capital after losses and whether existing value per share is diluted. The risk chain maps exposure to local government, property, interbank markets, or group customers. They may overlap or diverge. Industrial Bank’s public major-shareholder assessment, for example, reported a combined 20.57 percent holding by the Fujian Department of Finance and Fujian Financial Investment at year-end 2025, with appointed directors. That is a verifiable ownership and governance fact, not a dividend or price forecast. See the original disclosure.

To avoid a shareholder table that looks complete but is stale, use annual reports as entry points rather than a secondary database: ICBC, Agricultural Bank of China, Bank of Communications, Ping An Bank, Bank of Ningbo, and Bank of Nanjing. A report-period date and announcement date are not the current trading date; preserve both.

“Government ownership” is not one variable

The stronger question is which national or local body acquired, transferred, or increased which right, on what date, through which legal and capital instrument. Ministry of Finance special bonds, Central Huijin’s investor holdings, transfers of state capital to the social-security fund, and local state-platform shares are not one form of support. An insurer’s control of Ping An Bank is another corporate relationship and does not become government ownership because it sits in a financial group.

A two-column reference diagram places Ministry of Finance and Central Huijin capital and ownership actions in 1998, 2003, 2019, 2023, and 2025 beside dated ownership snapshots for six banks.
Figure 4 | Paths of national and local state capital. This is not a complete shareholder register on one trading day. It juxtaposes different dates, actors, and actions so that capital injections, state-share transfers, and secondary-market purchases are not treated as one event.

The figures in the diagram return to primary disclosures. ICBC’s 2025 major-shareholder assessment reported combined A- and H-share holdings of 34.79 percent for Central Huijin, 31.14 percent for the Ministry of Finance, and 5.35 percent for the National Council for Social Security Fund. Agricultural Bank of China reported 40.14, 35.29, and 6.72 percent respectively. These numbers do not show a guarantee for common equity. They show why research on per-share capital, rights, and state-capital changes must state whether multiple holders are combined. See the ICBC assessment and ABC assessment.

The historical path cannot be reduced to Central Huijin. ICBC’s 2024 annual-report summary records a 2019 transfer of 12,331,645,186 A shares from the Ministry of Finance to the state-capital transfer account of the social-security fund. That changed which state body held the capital and the applicable lock-up; it was neither a company buyback nor newly earned profit. Central Huijin’s 2023 purchases of A shares in four large state banks were secondary-market actions by a controlling shareholder. In 2025, by contrast, the Ministry of Finance subscribed in cash to private placements that replenished CET1. CCB issued 11,589,403,973 A shares and raised RMB 105 billion; Bank of China announced a Ministry of Finance subscription cap of RMB 165 billion and later completed the issue. Sources: ICBC 2024 summary, 2023 Huijin announcement, CCB 2025 report, and Bank of China completion notice.

Local and group paths change too. Industrial Bank’s 2025 material shows the combined 20.57 percent Fujian holding and appointed directors. Bank of Ningbo’s company profile says Ningbo Development Investment and parties acting in concert represent roughly 20 percent held for the government, but the profile does not date that snapshot and cannot serve as a live register. Bank of Nanjing’s 2015 report listed BNP Paribas at 14.87 percent and Nanjing Zijin Investment at 12.41 percent, illustrating an overseas financial institution alongside local state capital. Ping An Bank’s 2015 report gives a dated control history: China Ping An and Ping An Life held 52.38 percent after the 2011 restructuring, 59 percent after a 2013 placement, and 58 percent after the May 2015 placement. A 2011 historical number inside a 2015 report is not a 2015 year-end holding. Sources: Industrial Bank, Bank of Ningbo profile, Bank of Nanjing 2015 report, and Ping An Bank control history.

For common-equity research, put each state-capital action in one of three columns. Did it change the bank’s capital, rights among shareholders, or secondary-market holdings? Only the first directly raises loss-absorbing resources. The second may affect control and dilution per share. The third mainly changes market signaling. All can matter; none guarantees a common-equity return.

The policy timeline belongs beside the valuation model:

Period Public action Implication for common equity
1998–1999 Special government bonds recapitalized wholly state-owned commercial banks; four asset-management companies received non-performing assets Systemic repair changes capital and balance sheets, so historical profit cannot be extrapolated alone. 1998 document; 1999 document.
2003–2005 Central Huijin was established and injected capital alongside joint-stock reform and listings The state investor, corporate governance, and market listing are separate layers; trace the capital source, board mechanism, and value per share. Official reform review.
2019 Regulators took over Baoshang Bank Liquidity, governance, and resolution at one institution cannot be replaced with an assumption that every bank is too big to fail. State Council report.
2023 Central Huijin increased holdings in four large state banks A controlling-shareholder action may influence expectations but is not an unconditional endorsement of every bank valuation. Xinhua announcement.
2025 The Ministry of Finance issued the first special bonds supporting CET1 replenishment at large state banks Capital constraints and macro policy directly affect dividends, growth, and dilution and belong in the scenario inputs. Ministry explanation.
2026-09-07 The Ministry announced an upcoming RMB 300 billion special-bond issue supporting CET1 at eight central financial enterprises including ICBC and ABC RMB 300 billion is the total for eight institutions, not an amount for each bank or proof of completed injection. Bank-level issues, subscriptions, and receipt of capital still require verification. The notice came after the backtest cutoff. Ministry notice.

State ownership is therefore part of governance and policy transmission, not an automatic valuation factor. It may reduce some tail risks while bringing capital allocation, policy concessions, and governance aims that do not perfectly align with short-run common-equity returns. System stability, protection of depositors and creditors, and common-shareholder returns are three different things.

Long holding periods test mental accounting

Bank holdings invite two opposite errors. One treats quarterly dividends or a low P/B as permission to believe the stock cannot fall. The other discards the research framework after a worsening macro narrative and a deep drawdown. One ignores risk; the other forgets why the investor accepted equity risk in the first place.

Useful discipline is not forced optimism. Before buying, write down testable commitments. How much drawdown can I tolerate? Which deterioration pauses additions? How would a dividend cut, capital pressure, new NPL formation, a governance event, or dilution change position size? Without answers, “long term” merely postpones the exit decision until the day of greatest fear.

A quarterly research table makes the commitments concrete. These are review methods, not universal trading thresholds. Large state banks, joint-stock banks, and city commercial banks should be compared with their own histories and suitable peers.

Observation Misleading single number Evidence and response to check together
Asset quality A lower NPL ratio means risk fell Combine special-mention loans, overdue migration, new NPLs, write-offs, and loan growth. If larger write-offs reduced the ratio, review losses before adding mechanically.
Capital buffer A high total capital ratio permits higher dividends Isolate CET1, RWA growth, and institution-specific requirements; preferred and Tier 2 capital do not replace common equity.
Profitability Positive profit growth means improvement Check margin, pre-provision profit, credit cost, and common ROE. Did profit depend on lower provisions or one-offs?
Shareholders and financing A major shareholder purchase creates value per share Separate secondary-market purchases, transfers, and new issuance; check issue price, common share count, and book value per share.
Household capacity Unused allocation should always be invested Cover planned living expenses first. A terminal backtest value is unattainable if stress forces a sale.

Research discipline and backtest rules must remain separate. The mechanical scenario contains none of these pause conditions, so an unmodeled checklist cannot be claimed to have improved its historical return. Its purpose is to prevent “the price fell, so it is cheaper” from becoming the only reason for the next decision.

Dividends may provide behavioral support by returning cash even when the price is flat. They should never become an anesthetic against asset-quality analysis. In this scenario, unreinvested dividends formed an important part of ending cash while maximum drawdown still approached 40 percent. Both facts belong in memory.

Long holding is not a personality trait called patience. It is an account design that makes badly timed choices harder. At minimum, keep three ledgers. A price ledger records market value and drawdown so cost-basis anchoring does not drive decisions. A cash ledger records dividends, remaining addition capacity, and future expenses so dividends are not mistaken for infinite risk capacity. A research ledger records quarterly indicators and veto conditions so the rationale is not rewritten after every fall. The three ledgers differ, which is precisely why none can replace the others.

The 2015 case is a practical stress test: first a high, then -36.9 percent, then roughly two years to recover. Any averaging rule should ask what happens if recovery takes twice as long, dividends fall, or household cash is needed at the same time. If the rule would break, a smaller equity allocation or larger cash buffer may be the right adjustment—not a prettier historical threshold.

Conclusion, falsification, and an execution checklist

Bank shares can be candidates for a long-term core A-share allocation if the conclusion stays within the evidence. Mature banks’ capital, dividends, and disclosure make them suitable for continuing study. Diversifying across bank types, measuring total return instead of one year’s yield, and incorporating capital and governance risk make the claim testable. They do not establish that banks must beat other industries or that dividends will always offset a falling price.

Before acting, complete at least this checklist:

  1. Check capital, provisions, non-performing exposures, margin, the dividend plan, and major shareholders in the latest reports instead of repeating an old number.
  2. Cross-check at least two of FCFE, dividend-discount, and residual-income models, with stress tests for ROE, credit cost, and capital ratios.
  3. Set industry and single-bank position limits and conditions for pausing additions in advance.
  4. Put a drawdown over 30 percent into the household cash-flow plan.
  5. Separate a research case, personal risk capacity, and suitability advice. Seek a licensed professional if specific investment advice is needed.

The best long-term holding is not buying and ceasing to look. It is continuing to test the original reason against a set of indicators written down in advance. Only then can dividend, valuation, and psychological tolerance fit together in a core bank allocation.