Good disclosure,bad disclosure

We study real-efficiency implications of disclosing public information in a model with multiple dimensions of uncertainty where market prices convey information to a real decision maker. Paradoxically, when disclosure concerns a variable that the real decision maker cares to learn about, disclosure negatively affects price informativeness, and in markets that are effective in aggregating private information, this negative price-informativeness effect can dominate so that better disclosure negatively impacts real efficiency. When disclosure concerns a variable that the real decision maker already knows much about, disclosure always improves price informativeness and real efficiency. Our analysis has important empirical and policy implications for different contexts such as disclosure of stress test information and regulation of credit ratings.     

异质信念对股价波动的非对称性影响研究

本文利用上市公司的相关数据,实证研究了异质信念对我国股票市场股价波动的 影响,探讨了在不同的市场行情和企业性质下异质信念对股价波动的非对称性影响,并对融资 融券推出前后异质信念对股价波动的非对称性影响进行了研究。研究结果表明：（1）股票投 资者异质信念的差异程度越大,股价偏离其股票的内在价值就越大,进而导致股价的波动程度 更剧烈;（2）异质信念对股价波动的影响呈非对称性,在熊市行情下异质信念对股价波动的 影响要高于牛市,在国有企业背景下异质信念对股价的波动程度大于非国有企业;（3）融资 融券推出后在一定程度上可以减缓异质信念对股价波动的影响。     

土地价格、土地财政与宏观经济波动

本文在一个包含金融加速器的新凯恩斯动态一般均衡模型中引入土地财政和政府隐性担保融资机制,借此考察在土地财政体制下土地价格的波动特征、驱动因素和对宏观经济的影响机制,同时使用2004Q1到2016Q1的中国宏观经济数据对模型进行贝叶斯估计。方差分解的结果表明,在样本期间,土地需求冲击、土地供给冲击和货币政策冲击是驱动中国土地价格变动的主要因素,货币政策冲击和土地供给冲击是引起短期土地价格波动的主要因素,土地需求冲击在长期中驱动了土地价格波动。数值模拟结果发现,土地财政对宏观经济波动具有放大效应,正向的土地需求冲击将推高土地价格,并通过抵押约束机制引起宏观经济波动,地方政府对土地财政的依赖将放大该效应,并进一步对土地价格形成正向反馈,从而引起宏观经济更大的波动;在土地财政体制下,正向的土地供给冲击有助于抑制土地价格上涨,并减少宏观经济波动。     

房价波动、金融稳定与最优宏观审慎政策

本文通过构建包含家庭住房抵押借款摩擦和银行贷款摩擦的动态随机一般均衡模型,重点考察了异质性冲击下房价波动对金融稳定的影响。研究发现,房价上涨会导致银行风险溢价及杠杆率显著上升,进而加剧金融体系的内在不稳定。为降低房价波动及维护金融稳定,选取两类宏观审慎政策工具进行逆周期调控实验,结果表明,在住房需求冲击下,金融管理部门应选取贷款价值比政策,且应对房贷积极调控,而对房价进行中性调控。在最终产品部门生产率冲击、房地产部门生产率冲击及跨期偏好冲击下,应选取资本充足率政策,但对房贷和房价调控力度的把握则存在差异。本研究为厘清房价波动对金融稳定的动态传导机制,以及金融管理部门如何选取宏观审慎政策工具以稳定房价并降低系统性金融风险提供了启示。     

Trading activity and price discovery in Bitcoin futures markets

This study examines the impact of trading activities on price discovery in the Bitcoin futures markets. We find that trades of hedgers are positively correlated with the modified information shares in both CME and CBOE futures markets, suggesting that their trading promotes futures market efficiency. Retailers’ trading activity relates negatively to the price discovery of the CME Bitcoin futures and thus destabilizes the market. Speculators exert positive (negative) impact on the price discovery in the CME (CBOE) Bitcoin futures. Our finding that CME’s Bitcoin futures exhibit superior price discovery than CBOE’s provides plausible justification for CBOE’s decision in March 2019 to suspend further listings of Bitcoin futures contracts.     

The price discovery role of day traders in futures market: Evidence from different types of day traders

Using proprietary account-level transaction data in the futures market where day traders are self-declared ex ante, this study investigates whether day traders enhance price discovery at the market level. From a natural classification of day traders, we find that heterogeneous day traders have differential effects on price discovery. Self-declared day traders, who benefit from low margin requirement, do not improve price discovery measured by information share. In contrast, non-declared traders, who are not self-declared as day traders, improve price discovery. Their positive impacts on price discovery are particularly significant during periods of high volatility and arrival of new information. Overall, a margin stimulating policy may encourage more day trading, but may also attract overconfident investors, especially inexperienced ones, and who do not enhance price discovery.     

人口老龄化与房价的区域差异研究——基于面板协整模型的实证分析

本文通过结构性视角,由面板协整检验证明了人口老龄化对房价波动存在长期影响,继以面板误差修正模型讨论了人口结构影响房价波动的区域差别、原因及政策建议。实证结果显示:储蓄、住房需求多元化和家庭结构是造成老年人群推动房价上涨的主要原因,但未来人口老龄化能否引起房价的长期下降,取决于青年人群对住房需求的实现能力;人口老龄化对房价的影响存在区域差异,预示着部分区域房价或已脱离实际面、青年人群的购买力与高房价间矛盾日蹙。从减缓人口老龄化对我国房地产乃至社会经济发展可能带来冲击的角度来看,应及早以前瞻性政策应对。     

房产税对宏观经济的影响效应研究

本文扩展Dong et al.(2019)通过企业家对住房地产和实体经济投资进行资产组合决策,把房价、投资、消费和产出等重要经济指标纳入主流新凯恩斯框架,考虑银行能否区分贷款是投入实体经济还是房地产业两种情形,分析了房产税引入住房市场前后对宏观经济的影响效应。研究结果表明:开征房产税对房地产开发投资、房价和新住房生产具有明显的抑制作用,对实体经济投资则具有正挤入效应增加和负抵押效应减少的双重效应。从短期看,当银行无法区分企业贷款是投入实体经济还是房地产业时,因前期的负抵押效应大于正挤入效应,总实物资本减少,产出下降;当可清晰区分二者时,负抵押效应变为小于正挤入效应,总实物资本增加,产出上升。鉴于推出房产税对宏观经济影响较为复杂,应充分权衡利弊,采取必要辅助措施趋利避害。     

交易者关注行为对股票价格的影响机制

本文研究了交易者的关注行为对股票价格的影响机制。通过控制了公司基本面的因素基础上,分别从最终量（股票价格）和变化量（价格差）两个角度,建立了影响模型,实证发现,无论是最终量还是变化量,当期的关注度产生的正向响应都是强于滞后一期产生的反向影响;进一步用格兰杰因果分析了两者的关系,发现互为双向格兰杰原因;通过脉冲响应了解相互之间作用的模式,发现关注度对价格短期内是反向波动的影响,长期会有正向的响应。     

How should we estimate value-relevance models? Insights from European data

We study the consequences of unobserved heterogeneity when employing different econometric methods in the estimation of two major value-relevance models: the Price Regression Model (PRM) and the Return Regression Model (RRM). Leveraging a large panel data set of European listed companies, we first demonstrate that robust Hausman tests and Breusch-Pagan Lagrange Multiplier tests are of fundamental importance to choose correctly among a fixed-effects model, a random-effects model, or a pooled OLS model. Second, we provide evidence that replacing firm fixed-effects with country and industry fixed-effects can lead to large differences in the magnitude of the key coefficients, with serious consequences for the interpretation of the effect of changes in earnings and book values per share on firm value. Finally, we offer recommendations to applied researchers aiming to improve the robustness of their econometric strategy.