经典信用周期理论普遍将不动产抵押品视为信贷波动的核心驱动因素。中国宏观数据呈现出不同的经验特征：总量信贷增速与房价波动长期弱相关，抵押品渠道在总量层面近乎“隐形”。本文基于2008—2025年分部门信贷月度数据，结合NARDL模型、多重断点检验与门限回归方法，定位抵押品渠道的真实作用载体并量化其非对称强度。研究表明，逆周期调节显著平滑了总量信贷波动，总量层面不存在抵押品与信贷的长期均衡关系，渠道效应被整体稀释；抵押品渠道在住户部门显形，房价下行对住户信贷的收缩力度显著强于上行扩张效应，基准模型下抵押品非对称乘数（CAM）为1.55，跨16种滞后设定的稳健中位数为1.73。2014年信用锚转型后，住户信贷的抵押品弹性出现结构性跃升，分样本CAM由2.32升至2.79，结构突变在统计上高度显著。非金融企业信贷与房价基本脱钩，常态下对公端对住户端收缩的对冲比例仅约3%，总量隐形的主因是信号稀释而非反向对冲。机制分析显示，居民加杠杆行为的门限特征是非对称的核心根源，债务-通缩螺旋对下行冲击存在放大效应，银行资产组合多元化无法松动按揭合约内嵌的抵押约束，货币政策传导同样呈现“收紧有效、宽松乏力”的非对称特征。本文为理解中国信用周期的部门结构差异、优化逆周期调控工具提供了新的经验证据。

既有研究多基于广义货币M2展开总量分析，对交易货币M1的结构性损耗及其微观形成机制关注不足，难以完整解释我国“宽货币、弱实体”的典型特征。本文回归费雪原始交易方程的核心内涵，构建T1-T2-T3交易层级三分法分析框架，拓展Baumol-Tobin企业现金持有模型与银行资本约束下的信贷配置模型以搭建微观基础，引入M1灭失系数修正传统交易方程，设计债务利息消耗率与M1当期灭失率两项核心量化指标。研究利用2000—2024年省级季度面板数据，结合双向固定效应、Bartik工具变量、资管新规准自然实验、面板门槛模型与3SLS联立方程等多重识别策略展开系统检验。研究结果表明：债务利息消耗率每提升1个百分点，M1当期灭失率平均上升0.31个百分点，该因果关系在多重识别策略下保持稳健；M1灭失对民间投资的影响呈现单门槛非线性特征，省级面板临界值为7.24%，突破阈值后负向冲击强度放大2.4倍，全国年度口径阈值更高，且2019年以来已持续处于临界区间上方；交易收缩、乘数衰减、流动性约束、预期反转四重传导渠道的合计中介效应占比达42.7%；样本期内存在唯一结构性断点，时点位于2020年第一季度，此后债务对交易货币的挤占效应明显增强。研究结论可为疏通货币政策传导、优化债务治理框架提供可量化的结构性分析工具。

菲利普斯经典分析体系诞生于低储蓄、直接融资的经济环境，将其套用于高储蓄经济体时，会出现明显的理论适配偏差。研究依托资金运行逻辑推导得到M1,t⋅Kt>QMt收益等价约束条件，据此搭建 LDR—K 双临界均衡分析框架，明确货币传导弹塑性断裂的定义与量化判定规则。面板实证结果表明，住户定活比（LDR）与实体收益倍数（K）的合理运行区间为 1.77∼1.83。当两项指标同步处于该区间，货币传导效率可提升4.3～4.8倍，M1/QM 将回归 1:2 的长期均衡水平。LDR 与 K 存在双向动态联动关系，居民存款结构主导短期传导，实体盈利水平决定中长期运行趋势。本文纠正了学界关于 M2/GDP、储蓄率与货币结构的三类认知误区，延伸了经典货币政策理论的适用范围。建议把 LDR、K 纳入央行常规监测指标，结合四类经济区制推行差异化调控，为高储蓄经济体搭建专属货币政策框架提供理论与实证依据。

既有研究普遍认为企业披露数据资产信息能有效降低股价同步性、提升资本市场定价效率。本文基于有限注意力理论，重新审视了数据资产信息披露对资本市场定价效率的影响。研究发现，数据资产信息披露的经济后果并非静态不变，而是随着市场整体披露密度的上升呈现出显著的边际递减特征。具体而言，在市场整体披露水平较低时，企业披露此类信息能有效吸引媒体报道、增加分析师追踪并吸引机构投资者持股，进而加速特质信息融入以降低股价同步性；然而随着披露的普遍化，同质化信息分散了投资者的注意力，弱化了上述机制。基于“龙虎榜”的准自然实验进一步证实，注意力的分散是导致披露效果发生变化的关键原因。异质性分析表明，即便在企业常规文本特质信息较少、地区信息传播环境优越或机构投资者注意力未被过度分散的情境下，这种因同质化披露引发的边际递减现象依然存在。本文拓展了有限注意力理论的适用边界，揭示了同质化信息对投资者注意力的分散作用，为理解数字化时代企业信息披露面临的“价值稀释”问题提供了新的经验证据。

中国式现代化的根基在县域，县域发展的核心瓶颈是金融供给系统性失灵与内生信用机制长期缺失。城乡二元结构导致县域农村产权先天残缺，叠加 20 世纪 90 年代县域集体经济结构性调整，本土产业支撑力持续弱化，部分地区长期依赖上级财政转移支付运转。转移支付作为外部资金，与本地资产增值、治理效能提升的联动性较弱，难以培育可持续内生动力。既有县域金融研究多侧重抵押品目录扩容，忽视估值修复的基础作用，难以破解资产沉睡与信用缺失的双重困境。本文以县域抵押品体系失灵为切入点，整合产权残缺、信贷配给、金融加速器三大理论，构建估值修复—边界扩容—信用创造递进框架。基于 2024—2025 年广东省权威数据及多地试点准自然实验表明：脱离估值修复的抵押品扩容易被信贷配给弱化；唯有补齐确权、估值、流转、处置全链条短板，方能盘活县域沉睡资产、转化为信用资本，夯实内生发展能力。

兴业消费金融2025年在银登中心挂牌转让不良资产401.06亿元，占行业总额的34%，覆盖借款人超31.3万户。2025年净利润12.00亿元，同比增长179.07%，而营收下滑11.71%。基于公开数据的时序分析显示，利润高增与大规模不良资产出清高度吻合，不良出清是会计报表层面利润修复的重要来源，经营效率改善的贡献有待年报明细科目进一步分离。本文基于监管处罚公告、债券募集说明书、银登网转让公告及裁判文书等全公开数据，构建”监管套利—风控外包—资产质量恶化—经营挤出”的分析框架，提出”融资挤压指数”“钱的质地”与”存量吸血效应”等分析工具，测算助贷模式对M1流动性的抽离效应约1941亿元。研究发现，2020年利率窗口指导后样本机构不良率呈现结构性加速趋势；挤压指数达+9至+54个百分点。基于公开数据的结构性分析显示，兴业消金在业务实践中呈现出与母行”利润-风险转换器”职能高度相似的特征，温和的”纠偏式”监管约束效果有限，需向”止血式”干预过渡。

西方租售比、房价收入比模型在中国房地产市场长期存在适用性缺陷。本文立足宏观审慎监管视角，构建以 "套" 为计价单位、名义 GDP 增速与商品房整体交易率为双锚的 CMH 估值模型。依托 2000—2019 年官方官方数据的检验显示，该框架确立的双向阈值 ——0.56-0.60 的过热预警区间、1% 交易率的过冷底线 —— 与历次房地产调控的政策时点高度吻合，能够为逆周期调控提供可量化、可复现的参考依据。

In emerging markets characterized by signiffcant information asymmetry, mitigat-ing firm-level risk is paramount for market stability. While the governance role ofinstitutional investors is known, the impact of their direct, on-the-ground engagementremains underexplored. This study’s objective is to investigate how institutionalinvestor site visits, a crucial hands-on governance mechanism, affect stock returnvolatility. Using a sample of Chinese-listed A-share firms from 2012 to 2022, wefind that frequent site visits significantly reduce firm-level stock return volatility.This risk-reduction effect is more pronounced for firms with greater agency problems,poorer ESG performance, and higher expropriation risk. Our analysis, robust toendogeneity concerns, indicates this effect is driven by improved external oversight.We conclude that direct institutional engagement is a vital channel for reducinginformation asymmetry, enhancing corporate governance, and ultimately promotingmarket stability by lowering investment risk.

We examine price discovery after irregularly scheduled macroeconomic announce-ments. Exploiting time variation in Chinese macro announcements released outside regular trading hours, this paper isolates the role of elapsed non-trading time in facilitating investor learning and price discovery upon market reopening. We show that longer non-trading intervals generate more efficient post-announcement price discovery, reduce information asymmetry, and diminish subsequent intraday return reversals. The mechanism operates through enhanced retail investor learning: during non-trading hours, retail investors actively acquire information, subsequently trade more aggressively, earn higher profits, and face reduced informational disadvantages at market opening. Our findings highlight that retail investor learning during non-trading hours levels the informational playing field among heterogeneous investors and improves price quality around irregularly timed macroeconomic announcements. These results have broader implications for emerging markets, which similarly feature irregular announcement timing and large populations of uninformed retail investors.

This study constructs a three-dimensional space model based on fund investment styles, using a sample of open-end equity and mixed funds from 2005 to 2021 to measure the degree of style convergence. The research explores how style convergence impacts fund managers’ window dressing behavior. The results indicate that, after accounting for the effects of fund performance, style convergence exacerbates window dressing behavior among fund managers. Specifically, this is reflected in fund managers increasing their holdings in winning stocks and selling off losing stocks, which indirectly highlights the intense competition within China’s open-end fund industry. The findings remain robust after a series of endogeneity and robustness tests. Further analysis reveals that style convergence contributes to the risk of client attrition, thereby intensifying the agency problem within the fund industry. The window dressing effect due to style convergence is particularly pronounced in funds managed by individuals with lower educational backgrounds, lower investment skills, smaller family sizes, and lower institutional investor ownership. The paper offers valuable insights into the agency problems arising from investment style convergence and provides guidance for mitigating fund managers' self-interested behavior.