信息披露质量与市场流动性

本文以深交所A股上市公司为样本．研究上市公司的信息披露整体质量是否影响公司股票在市场上的流动性。基于分笔高频交易数据．检验集中于流动性的两个关键方面：市场宽度和市场深度。采用稳健的非线性两阶段最小二乘法来克服信息披露的自选择特点所引起的内生性问题。实证结果显示，公司高质量的信息披露能有效提高其股票的市场流动性，这种影响主要是通过缩小市场宽度来达到．而对市场深度的影响不显著。利用市场微观结构的价差分解方法的研究发现．高质量的信息披露提高市场流动性的机制在于有效减轻市场上信息不对称程度。     

Risk aversion and the dynamics of optimal liquidation strategies in illiquid markets

We consider the infinite-horizon optimal portfolio liquidation problem for a von Neumann–Morgenstern investor in the liquidity model of Almgren (Appl. Math. Finance 10:1–18, 2003). Using a stochastic control approach, we characterize the value function and the optimal strategy as classical solutions of nonlinear parabolic partial differential equations. We furthermore analyze the sensitivities of the value function and the optimal strategy with respect to the various model parameters. In particular, we find that the optimal strategy is aggressive or passive in-the-money, respectively, if and only if the utility function displays increasing or decreasing risk aversion. Surprisingly, only few further monotonicity relations exist with respect to the other parameters. We point out in particular that the speed by which the remaining asset position is sold can be decreasing in the size of the position but increasing in the liquidity price impact.      

对新疆金融机构流动性过剩问题的探讨

流动性过剩是当前我国经济的一大特点。从近年的统计数据来看,新疆金融机构的流动性过剩也保持了较高水平,且过剩程度高于全国平均水平。然而,新疆的各项事业发展却仍面临着巨大的资金缺口。如何解决新疆金融机构过剩流动性与发展的资金缺口匹配问题就显得非常重要。本文就新疆与全国金融机构流动性水平进行了比较,认为融资能力差是制约新疆经济发展的一大瓶颈,为此提出了合理引导流动性过剩的建议。     

量化宽松货币政策的理论、实践与影响

全球金融危机已使全球经济陷入衰退,为应对危机各国央行不断降息。随着短期利率接近于零,美、日、英等主要国家的央行转而求助于"量化宽松货币政策",即通过购买长期国债等方式向经济注入巨量的流动性。全球大规模采取量化宽松政策在历史上尚属首次,对世界经济和中国经济都将产生难以估量的影响,对此有必要进行深入的分析。为此,本文在对量化宽松货币政策的理论基础进行分析的基础上,进一步研究了日本量化宽松政策实践的经验与教训及其影响,并提出相应的政策建议。     

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.

New low-frequency spread measures

I develop new spread proxies that pick up on three attributes of the low-frequency (daily) data: (1) price clustering, (2) serial price covariance accounting for midpoint prices on no-trade days, and (3) the quoted spread that is available on no-trade days. I develop and empirically test two different approaches: an integrated model and combined models. I test both new and existing low-frequency spread measures relative to two high-frequency benchmarks (percent effective spread and percent quoted spread) on three performance dimensions: (1) higher individual firm correlation with the benchmarks, (2) higher portfolio correlation with the benchmarks, and (3) lower distance relative to the benchmarks. I find that on all three performance dimensions the new integrated model and the new combined model do significantly better than existing low-frequency spread proxies.     

An information-based trade off between foreign direct investment and foreign portfolio investment

The paper develops a model of foreign direct investments (FDI) and foreign portfolio investments (FPI). FDI enables the owner to obtain refined information about the firm. This superiority, relative to FPI, comes with a cost: a firm owned by the FDI investor has a low resale price because of asymmetric information between the owner and potential buyers. The model can explain several stylized facts regarding foreign equity flows, such as the larger ratio of FDI to FPI inflows in developing countries relative to developed countries, and the greater volatility of FDI net inflows relative to FPI net inflows.     

对我国国债市场流动性的实证研究

本文从流动性的宽度和深度两个角度,对上海交易所和银行间债券市场的流动性进行量化分析,分析中使用一阶序列自协方差模拟估计有效价差(宽度),用换手率和Amivest流动性比率估计深度及宽度.经研究发现:两个市场的流动性具有结构性特征,不能简单比较,得出孰高孰低的结论;在回购交易品种中,银行间市场的7天回购流动性最佳,其价格可以作为基准利率;债券市场存在新券和旧券之间的流动性替代效应.     

Forecasting the liquidity of very small private companies

Short-term liquidity of very small private companies (VSPCs) is important to creditors as any cash shortages result in opportunity costs due to delayed payments. We use a publicly available liquidity indicator for 19,627 Slovenian VSPCs as a special, but generalizable case of “credit record” data and financial ratios to predict possible cash shortages. Indicator is predicted and used in lagged form(s) as a predictive variable with/without financial ratios, allowing comparisons. Models, including financial ratios, are less efficient than models based on lagged liquidity indicator alone. Surprisingly, combined models perform only marginally better. Despite high overall accuracy, misclassification of companies experiencing cash shortages is high.     

影子银行体系与流动性管理

影子银行体系具有特殊的形成机理,是金融抑制制度背景下的博弈产物。目前,影子银行体系在金融市场上以证券化的方式创造流动性,容易在短期内出现从流动性过剩到流动性紧缩的转变,造成宏观经济的不稳定,需要作出必要的监管安排。