离差交易的实证研究与探讨

离差策略是一种对冲交易策略，它是利用股指期权和一揽子股票期权（或部分成分股构成的ETF期权）之间的隐含相关系数，获悉市场成分股期权和股指期权波动率高低的相对关系，再在成分股期权和股指期权建立相反的头寸。离差交易策略选择暴露的风险因子就是隐含相关系数，离差交易使用的是对冲的平价跨式期权交易。选用2006年5月18日至2014年7月17日前复权的沪深300股指、上证50指数和上证180指数作为样本，进行实证检验。虽然结果显著性较强，但不排除存在模型不稳定性以及由于数据不充分造成对相关系数及波动率估计的偏误。同时，离差交易使用的是对冲的平价跨式期权交易，所以组合暴露较小的Delta风险。若离差交易涉及较大的资金量时，则需要用标的资产对组合进行动态Delta中性对冲。     

公司增发与市值管理——基于中国A股上市公司的实证研究

采用2005—2014年中国A股有增发股份记录的上市公司的市场数据,检验了被广泛讨论的"市值管理"现象。结果表明:所有权性质、增发目的、增发对象、经营状况以及市值存在差异的上市公司,在其增发股份前后及期间的超额收益率和股价信息含量存在很大差异,这些差异与不同公司进行增发的诉求一致。这说明,中国A股市场广泛存在服务于公司控制人的市值管理行为。由于这些市值管理行为可能包括控制股价和侵害其他投资人,因此监管层应制定更为严格的法规来规范市值管理行为。     

Understanding sustainable development flexibility: An information perspective

Although flexibility has been considered critical in responding to uncertainty in a business environment, few studies have explored firms' flexibility in sustainable development. To understand the nature of firms that can respond better to uncertainty in their sustainable development practices, this study defines sustainable development flexibility and investigates the mechanism underlying its formation. The study proposes a conceptual framework on the interactions of managers' environmental attitude and cognitive style, as well as firms' information integration on sustainable development flexibility. A questionnaire survey was developed to test the corresponding hypotheses, and 241 valid responses were received from middle- and top-level managers in Chinese firms. The results show that (a) the higher the manager's environmental attitude, the higher the firm's information integration and greater sustainable supply chain flexibility, and (b) the more intuitive the manager's cognitive style, the greater the impact of environmental attitude on sustainable development flexibility.     

基于K-S检验与距离相关分析的网络借贷信用评价指标体系构建

网络借贷作为一种新型互联网金融模式,提升了金融资源使用效率,缓解了小企业融资难的困局。构建合理的网络借贷信用评价指标体系,从而对网络借贷的潜在风险及时甄别与预防,对互联网金融健康持续发展意义重大。本文根据K-S检验与距离相关分析相结合,筛选对借款客户违约状态甄别能力强的指标,建立了网络借贷信用评价指标体系,通过P2P网络借贷(peer to peer lending,个人对个人借贷)平台LendingClub交易数据进行实证研究,结果表明:不仅借款金额、借款利率等借款标的特征对借贷者违约具有显著相关性,借款者年龄等个人特征、借款者年收入等财务特征以及借款者违约次数等信用特征均对借贷者违约风险产生显著影响。投资者在出借资金时,往往青睐于已婚、年龄适中、具有一定工作经历、历史违约次数较少的借款人。因此,风险监管部门应构建网络借贷违约风险评估模型,对P2P平台进行风险监测,同时建立关键信息共享机制,融合多源数据,明确审查范围,实现P2P网络借贷行业健康有序发展。     

敦煌种业财务绩效评价研究

选择以农业上市公司敦煌种业为研究对象,以企业2014—2019年的报表数据为基础,采用功效系数法并以国务院国资委所编写的《企业绩效评价标准值》中国有企业绩效评价体系作为参考,构建对农业企业的财务指标评价体系,对敦煌种业2014-2019年企业财务指标的表现进行纵向分析,选择同行业中营业收入水平较高的北大荒进行横向对比,通过对比发现敦煌种业的问题主要体现在盈利能力和资产质量方面,对此提出了改进措施及建议。     

Information transmission between large shareholders and stock volatility

Does information transmission between large shareholders exacerbate stock volatility or reduce stock volatility? In this study, based on the common shareholding data in the Chinese stock market from 2007 to 2017, we establish the shareholder’s coshareholding network, and use the weighted network clustering coefficient to measure the information transmission speed. Moreover, we investigate the impact of information transmission speed on stock volatility. The empirical results show that a nonlinear U-shaped relationship exists between information transmission speed and stock volatility. The findings are robust to the inclusion of other determinants of stock volatility identified in the literature. Finally, we verify the existence of private information interaction in the coshareholding network.     

高管机会主义品行与公司信息披露决策

文章构建相应策略识别了高管机会主义品行，并探究其对公司信息披露决策的影响。研究结果表明，高管的机会主义品行会显著增加公司信息披露违规、真实盈余管理行为；提升公司选择非国际“四大”会计师事务所的概率，并支付更高的审计费用。随着高管机会主义水平上升，公司更有可能作出上述决策。进一步地，国有产权能在一定程度上抑制高管机会主义品行对信息披露质量的负面影响，却显著增加了公司应计盈余管理；当高管机会主义水平较高时，国有产权也无法发挥有效治理作用。从经济后果看，高管的机会主义品行能被资本市场识别，并显著减损公司未来价值。     

Random Effects Misspecification Can Have Severe Consequences for Random Effects Inference in Linear Mixed Models

There has been considerable and controversial research over the past two decades into how successfully random effects misspecification in mixed models (i.e. assuming normality for the random effects when the true distribution is non‐normal) can be diagnosed and what its impacts are on estimation and inference. However, much of this research has focused on fixed effects inference in generalised linear mixed models. In this article, motivated by the increasing number of applications of mixed models where interest is on the variance components, we study the effects of random effects misspecification on random effects inference in linear mixed models, for which there is considerably less literature. Our findings are surprising and contrary to general belief: for point estimation, maximum likelihood estimation of the variance components under misspecification is consistent, although in finite samples, both the bias and mean squared error can be substantial. For inference, we show through theory and simulation that under misspecification, standard likelihood ratio tests of truly non‐zero variance components can suffer from severely inflated type I errors, and confidence intervals for the variance components can exhibit considerable under coverage. Furthermore, neither of these problems vanish asymptotically with increasing the number of clusters or cluster size. These results have major implications for random effects inference, especially if the true random effects distribution is heavier tailed than the normal. Fortunately, simple graphical and goodness‐of‐fit measures of the random effects predictions appear to have reasonable power at detecting misspecification. We apply linear mixed models to a survey of more than 4 000 high school students within 100 schools and analyse how mathematics achievement scores vary with student attributes and across different schools. The application demonstrates the sensitivity of mixed model inference to the true but unknown random effects distribution.     

Write-down bonds,credit risk and imperfect information

A structural model of pricing Write-Down (hereafter WD) bonds under imperfect information has been developed to investigate the effect of WD bonds issuance on credit risk. Information is not only delayed but also asymmetrically distributed between managers and outside investors. We derive analytical solutions for corporate securities prices and find the issuance of WD bonds could significantly improve firm value via reducing bankruptcy cost. Our numerical results further demonstrate that the WD bonds issuance increases corporate risk tolerance and reduces the risk of bankruptcy and credit spreads under imperfect information.     

Out-of-stock justifications and consumers’ behavioral outcomes– exploring the role of product type and sales level information in out-of-stock situations

The present study extends prior research on stockouts by examining how product-related attributes interact with OOS justifications to influence consumer responses to stockouts. Drawing from Out-of-stock (OOS) literature, this study investigates how perceived popularity, perceived uniqueness, negative affect, and behavioral outcomes are influenced by out-of-stock justifications, product type, and sales level. Two scenario-based experiments and two field studies are conducted in which the cause of the stockout, product type, and sales level are manipulated at different levels. The results of the studies provide the following primary insights- 1) Consumers infer popularity of the product when the product is OOS due to high demand or when the sales level is high 2) Consumers infer uniqueness of the product when the product is OOS due to short supply but not when sales level is low 3) As the perceived popularity of utilitarian products or the perceived uniqueness of hedonic products increases, consumers' propensity to switch stores to purchase the OOS products increases 4) Consumers’ intention to spread negative word of mouth decreases when the cause of OOS or a high sales level is specified. Retailers can influence behavioral outcomes by specifying the cause of stockout tailored according to the type of product, or by providing sales level information.