Disciplina de mercado en el sistema bancario centroamericano

This article empirically tests the market discipline hypothesis in the Central American banking system. Whether the riskier banks (with the worst bank fundamentals) pay higher interest rates and attract fewer amounts of deposits. We use dynamic panel data models and the generalized method of moments (SYS GMM) estimator, and a sample of 30 banks from six Central American countries over the years 2008-2012. In contrast to most of the previous empirical literature, particularly in developed countries, in Central America we did not find evidence for market discipline. The results are robust to different indicators of the bank fundamentals, to the effect of the internal demand for funding by banks, and to other econometric methods. These findings indicate weakness in the disclosure policy of banking information.     

Effect of the ban on short selling on market prices and volatility

We examine the effects of the short‐selling ban, imposed by Australian regulators in the wake of the global financial crisis, on the trading of financial stocks. Our findings argue against commonly stated reasons for imposing short‐sale bans. We find no evidence that short‐sale restrictions provide support for stock prices or that they reduce volatility. Moreover, stocks subject to the short‐selling ban suffered a severe degradation in market quality. Controlling for the adverse effects of the financial crisis on markets, we show that short‐selling restrictions increase intraday volatility, reduce trading activity and increase bid–ask spreads.     

Rare disaster risk and the expected equity risk premium

Consistent with the predictions of rare disaster models, we find that a proxy for the time‐varying probability of rare disasters helps to explain fluctuations in expectations of the equity risk premium. Our proxy for disaster risk is a recently developed measure of global political instability, and the expected market risk premium is from Value Line analysts' expected stock returns. Consistent with long‐run risk models, uncertainty about expected GDP growth and expected consumption growth is also significantly positively related to the expected market risk premium. We obtain similar results when we use the earnings–price ratio and the dividend–price ratio as proxies for the expected market risk premium.     

Quadratic Hawkes processes for financial prices

We introduce and establish the main properties of QHawkes (‘Quadratic’ Hawkes) models. QHawkes models generalize the Hawkes price models introduced in Bacry and Muzy [Quant. Finance, 2014, 14(7), 1147–1166], by allowing feedback effects in the jump intensity that are linear and quadratic in past returns. Our model exhibits two main properties that we believe are crucial in the modelling and the understanding of the volatility process: first, the model is time-reversal asymmetric, similar to financial markets whose time evolution has a preferred direction. Second, it generates a multiplicative, fat-tailed volatility process, that we characterize in detail in the case of exponentially decaying kernels, and which is linked to Pearson diffusions in the continuous limit. Several other interesting properties of QHawkes processes are discussed, in particular the fact that they can generate long memory without necessarily being at the critical point. A non-parametric fit of the QHawkes model on NYSE stock data shows that the off-diagonal component of the quadratic kernel indeed has a structure that standard Hawkes models fail to reproduce. We provide numerical simulations of our calibrated QHawkes model which is indeed seen to reproduce, with only a small amount of quadratic non-linearity, the correct magnitude of fat-tails and time reversal asymmetry seen in empirical time series.     

异质性机构投资者差异化作用于双元创新投资吗 ——基于注意力基础观与市场迎合理论双重视角

基于2011-2020年沪深A股高新技术企业样本,探究公司治理框架下异质性机构投资者对企业双元创新投资的差异化作用机理,得出如下结论：①异质性机构投资者对于双元创新投资具有差异化影响,其中,专注型机构投资者更有利于双元创新投资;②专注型机构投资者影响决策者注意力资源配置,使其更注重探索性创新投资,临时型机构投资者基于市场迎合动机作用于开发性创新投资,且当管理层业绩和外部监管压力较大时,其对开发性创新投资的迎合动机更明显;③专注型机构投资者通过监督和激励管理层、提升企业风险承担水平作用于企业双元创新投资,临时型机构投资者通过丰富投资者情绪作用于开发性创新投资未得到验证;④产业政策有助于增强专注型机构投资者对决策者注意力的影响,使其更专注于探索性创新投资,同时也有助于提高临时型机构投资者的开发性创新迎合投资动机。研究结论为理解机构投资者差异化治理角色提供了一种新视角。     

知识产权、技术标准与平台生态系统竞争力研究

现代企业之间的竞争逐渐演化成商业生态系统之间的竞争,而平台生态系统是应用最为普遍的一种商业生态系统。平台生态系统竞争的本质在于创新,以创新为基础的知识产权和技术标准成为决定平台竞争力的关键要素。在界定知识产权和技术标准内涵的基础上,从设计方法视角阐述平台生态系统竞争力形成过程,揭示知识产权和技术标准对于平台生态系统竞争的影响,分析两者对平台生态系统的作用机理。研究表明,知识产权和技术标准是形成平台竞争力的源泉,影响平台网络外部性,其中知识产权是建立技术标准的基础,技术标准是推动知识产权创造的动力,二者之间的互动和演进构成平台生态系统外部竞争力。     

政府创新投入可以促进市场创新投入吗——基于我国内地63所教育部直属高校科技创新数据的实证研究

高校是我国重要的创新研发主体,高校经费主要来源于政府和市场,这两种异质性研发创新投入关系值得关注。选取2005-2018年我国内地63所教育部直属高校科技创新数据,采用面板VAR模型和个体固定效应模型,从动态和静态两个方面对高校科技创新投入中政府创新投入与市场创新投入的关系进行实证检验。结果发现,在高校科技创新活动中,政府创新投入对市场创新投入存在积极影响,这种促进作用存在两期左右的滞后期,且只在短期内显著;从长期看,政府投入对市场投入的促进作用不显著。     

数据要素市场培育：法律难题、域外经验与中国方案

数字经济时代,数据继土地、劳动力、资本、技术之后成为第五大生产要素。目前我国数据权属确定的法律制度不够完善,数据要素市场交易的法律制度尚未建立,数据要素市场监管的法律制度不够健全,这都制约了我国数据要素市场发展。为了培育数据要素市场,应以数据生产者与数据处理者为划分标准,建立“数据生产者（扩展权利)—数据处理者（有限产权)”的数据产权制度;以“降低制度成本—减少交易成本”的思路完善数据要素市场交易相关规则;以“事前预防与事后规制相结合”的方式完善数据要素市场监管法律制度。     

“双碳”目标下碳交易与制造业绿色全要素生产率——基于异质性技术创新模式的机制检验

碳交易是推动制造业绿色发展,实现“双碳”目标的重要市场化工具,交易价格和市场规模能够反映碳交易实施状况,是影响制造业绿色全要素生产率的重要因素。从碳交易价格和市场规模切入,基于2008—2020年中国内地30个省份面板数据,构建连续型双重差分模型评估碳交易对制造业绿色全要素生产率的作用效果,并考察异质性技术创新模式的传导路径。结果表明,提高碳交易价格和扩大市场规模均能显著提升制造业绿色全要素生产率。机制检验表明,碳交易价格和市场规模能够推动自主创新、减少技术改造投入,进而影响制造业绿色全要素生产率,而技术引进并非有效路径。进一步研究发现,自主创新对技术改造存在挤出效应。研究结论对完善碳交易制度顶层设计、精准制定技术创新配套政策具有重要启示意义。     

流动性、银行间市场摩擦与借贷便利类货币政策工具

通过内生引入流动性短缺银行(拆入行)对流动性盈余银行(拆出行)的流动性需求机制,本文构建了一个包含银行间市场的DSGE模型,对借贷便利类货币政策工具的传导机制和传导效果进行了理论和实证研究。研究表明:(1)负向冲击会同时增加拆入行和拆出行对流动性的预防性需求,在经济形势不确定的情形下,拆出行不会很快恢复对拆入行的流动性供给,引起银行间市场流动性缺口放大和市场失灵。(2)由于仅依赖银行间市场自发回归稳态的过程太过缓慢,需要央行进行流动性干预。借贷便利类工具可以通过引导贷款市场定价和流动性效应这两个渠道来影响银行融资可得性,进而降低银行间市场流动性风险对宏观经济的负面影响。(3)借贷便利类货币政策工具的影响效果边际递减,央行可根据借贷便利操作的收益和成本,制定最佳的反应程度参数。