Liquidating large security positions strategically: a pragmatic and empirical approach

This article investigates static liquidation strategies for large security positions in illiquid markets. Under the assumption that the liquidation horizon is given exogenously, a discretionary liquidity trader solves for the optimal sales trajectory so as to maximize an objective function that considers the expected liquidation revenues and their standard deviation. Although existing literature tends to focus on theoretical aspects with the intention of deriving closed-form solutions for special types of market impact functions, this article considers a framework that is able to capture important empirical phenomena in the stock market, such as the intraday U-shaped pattern of price impact and the resiliency of the order book. The new model is very flexible since it allows for liquidation intervals of varying length and foregoes the assumption of constant speed of trading. Examples with real-world order book data demonstrate how the setup can be implemented numerically and provide deeper insight into relevant properties of the model.     

Commonalities in the order book

This paper uses data from one of the most important European stock markets and shows that, in line with predictions from theoretical market microstructure, a small number of latent factors captures most of the variation in stock specific order books. We show that these order book commonalities are much stronger than liquidity commonality across stocks. The result that bid and ask side as well as the visible and hidden parts of the order book exhibit quite specific dynamics is interpreted as evidence that open order book markets attract a heterogeneous trader population in terms of asset valuations and impatience. Quantifying the informational content of the extracted factors with respect to the evolution of the asset price, we find that the factor information shares are highest (about 10%) for less frequently traded stocks. We also show that the informational content of hidden orders is limited.

COVID-19 and corporate tax avoidance: International evidence

Governments across the globe initiated various tax reforms in the post- Global Financial Crisis period to rein in aggressive corporate tax avoidance for managing budget deficits. These developments created new realities in the international business environment by altering the costs and benefits of corporate tax management. Yet, we have a limited understanding of the effectiveness of tax reforms in controlling corporate tax avoidance at the global level. COVID-19 offers a litmus test for how corporates manage their taxes during the pandemic in light of past tax reforms. We use financial constraints and reputational costs as two contradicting theoretical perspectives to explain corporate tax avoidance during the crisis. Consistent with the financial constraints hypothesis, we find that firms avoid taxes amid COVID-19 to prevent liquidity crunches. Our study also highlights the role of country-level information and governance quality in curbing tax avoidance during extreme events like COVID-19. Our findings call for an immediate tax policy intervention to limit corporate tax avoidance during the ongoing pandemic phases.     

股票流动性与中国企业创新策略:流水不腐还是洪水猛兽？

中国情境下股票流动性对企业创新的影响是激励机制还是压力机制占主导地位？本文基于上市公司分类专利的申请、授权、终止数据研究发现:一方面,股票流动性使企业发明专利申请显著增加,但能通过实质审查的授权增长极少,说明申请质量明显下滑;另一方面,股票流动性使创新含量较低的实用新型与外观设计授权显著增加,且这些专利拖累了企业盈利表现,法律效力提前终止的数量也明显更多,揭示企业实际上是以“策略性创新”来应对资本市场压力,加剧了“专利泡沫”问题。分样本检验发现,“重数量轻质量”的创新策略集中体现于民营、传统行业及长期机构投资者持股较少的企业。稳健性检验替换关键指标构造和模型估计方法、构造工具变量克服潜在内生性问题,前述结论仍然成立。本文启示,金融制度设计应防范资本市场压力对企业创新的“意外伤害”,更好地实现“以金融助实体、以改革促发展”的目标。     

流动性与资产定价:基于我国股市资产换手率与预期收益的实证研究

流动性与资产定价是目前金融研究的热点之一 (O’Hara,2 0 0 3 )。本文通过检验交易频率零假设和交易成本备择假设 ,深入分析我国股市流动性与资产定价的理论与经验关系 ,发现 :我国股市存在显著的流动性溢价 ,换手率低、交易成本高且流动性小的资产具有较高的预期收益 ;产生流动性溢价的原因是交易成本而不是交易频率 ;与国外股市相似 ,小企业收益率高于大企业 ,价值股收益率高于成长股。因此 ,我国股市并非令人无法捉摸 ,流动性、规模和价值效应都是资产定价的因素     

基于搜寻的有限参与、事件风险与流动性溢价

本文在一个简单的投资决策框架内对投资者面对国有股全流通这一事件风险时的最优决策问题进行建模 ,得到一个基于流动性的资本资产定价模型。结论表明 ,相对于不存在事件风险的情形而言 ,国有股的存在使得更多投资者不愿进入市场 ,导致市场流动性进一步下降。同时 ,这一事件风险使得选择进入市场的投资者要求更高的流动性溢价。由此 ,这一模型为最近几年来中国股市持续低迷的状况提供了一种理论解释     

融资约束、金融发展与企业雇佣——来自中国企业调查数据的经验证据

基于世界银行提供的中国企业调查数据,本文分析了融资约束和金融发展对企业雇佣的影响。研究发现:在缓解内生性问题后,融资约束对企业雇佣需求有显著负面影响,即在其他条件不变情况下,企业感知到的融资难度每增加1个单位,其正式员工的雇佣增长率将下降3.1%。以2003年中国人民银行对货币信贷过快增长进行调控为自然实验,发现紧缩性的货币政策操作对企业雇佣需求有显著负面冲击;金融发展可以缓解企业融资约束,且金融发展对企业雇佣的促进作用主要体现在制造业、大中型及发展成长中的企业。本研究为理解金融因素对劳动力市场的需求提供了微观经验证据。     

企业生命周期、融资方式与融资约束——基于投资者情绪调节效应的研究

本文放松企业资金需求同质性假设,基于企业不同生命周期的组织特征、融资需求、融资能力差异,以不同生命周期企业融资约束差异作为切入点,融入投资者非理性情绪对企业外部融资环境的影响,动态考察投资者情绪变化对不同生命周期企业融资选择及融资约束缓解效应的影响。研究发现:不同生命周期企业融资约束状态不同,利用高涨投资者情绪缓解融资约束的程度及途径均存有差异:成长期企业融资约束程度最大,利用投资者情绪择时融资以缓解融资约束的程度也最强,衰退期企业次之,成熟期企业最小;高涨的投资者情绪改变了企业的外部融资环境和相对成本,各生命周期企业均会利用投资者情绪变化选取最适宜自身的融资方式:处于生命周期各阶段的企业均会利用投资者的高涨情绪进行信贷融资以缓解融资约束,而相对衰退期企业,成长期企业更偏好利用股权融资缓解融资约束,成熟期企业更偏好利用债券融资缓解融资约束。因此,投资者情绪不仅对生命周期影响企业融资约束具有调节效应,而且对企业生命周期影响融资方式的选择也具有调节效应。     

Intraday information efficiency on the Chinese equity market

Bid-ask spread is a direct measure of information asymmetry. As such, it can be used to evaluate information efficiency. In this paper, we show that both the quoted and effective spreads on the Shanghai Stock Exchange are extremely high at the open, decrease over the trading day, and experience a small rebound at the close. The spread decreases with share volume, daily trades, and market capitalization, but increases with average trade size. We further examine the beta using the unbiasedness regression from Biais et al. [Biais, B., Hillion, P., Spatt, C. (1999). Price discovery and learning during the pre-opening period in the Paris Bourse. Journal of Political Economy, 107, 1218–1248] and find that intraday prices are efficient and unbiased for more liquid stocks. This suggests that liquidity prompts information-motivated trading, which, in turn, improves information dissemination. Moreover, our findings indicate that small and medium trades are more likely to facilitate the formation of efficient prices at the open and close of the market, while large trades play a more important role during the other trading periods.     

日本城市废弃物处理机制研究

日本曾经历了大量生产、大量消费、大量废弃的时代,面对一度陷入困境的城市废弃物处理问题,日本走出了由单纯处理废弃物的被动治理转向将废弃物作为资源积极推行废弃物减量化、再利用、资源化之路。本文首先明确日本废弃物的分类与处理责任的认定,继而说明日本通过废弃物处理中的税费政策、对城市废弃物处理的规制措施以及促进城市废弃物焚烧处理技术的规范化等手段促使政府、企事业者、市民三方在废弃物有效处理方面达到共识、协同合作。其处理机制值得我国城市在环境治理时借鉴。