Customer Information Disclosure and Analyst Forecasts : Empirical Evidence from Analysts' Perspective

Based on the company's disclosure of key customer information,the impact of corporate customer concentration on analyst forecast was studied,and we further studied the impact of detailed customer names on analyst forecasts. It is found that:(i) customer concentration significantly affects the accuracy of analyst forecasts. The higher the customer concentration is,the lower the accuracy of analyst forecasts is;(ii) Voluntary disclosure of customer names can provide incremental information to analysts and mitigate the negative impact of customer concentration on the accuracy of analyst forests;(iii) further research has found that the incremental information brought by the state-owned enterprises' disclosure of the customer names to analysts is more obvious; disclosure of customer names by companies with high environmental uncertainty is more likely to be of concern to analysts; and star analysts have a higher ability to interpret customer names than non-star analysts.

The Efficiency of Markets in Response to Earnings Forecasts: The Case of China

This paper investigates the semi-strong form of efficiency of Chinese stock markets in response to earnings forecast announcement by employing the methodology of event study. The sample period is from January 2009 to January 2018, in total 564 event were examined. The reaction of markets to different types of new announcement is investigated and presented separately. Firstly, examination of positive and negative earnings forecast report shows that information shock brings a significant positive and negative returns during the event window. In addition, analysis of different sub-windows showed prices adjust to news quickly and effectively. However, no news announcements bring no significant shock to market, prices are not impacted by slight change forecasts. In general, empirical results provided evidences of semi-strong market efficiency. Earnings forecast announcements possess huge impact on market prices, therefore participants can make abnormal profit if they act on the information very quickly. However, beyond event window information becomes ineffective and does not possess any kind of content to make above market returns .

直面挑战:审计师数字化专长是否有助于提高审计质量?

借鉴审计师行业专长的度量方法,将数字化客户占比较高的审计师定义为数字化专长审计师,并检验在数字化变革过程中,积极参与数字化审计并取得数字化审计经验的审计师是否能够取得更好的审计结果。结果发现数字化审计专长审计师在数字化市场领域能够带来更优的审计质量,并且他们的特殊技能带来的积极作用能够被资本市场的投资者和分析师识别和认可(股价同步性更低且分析师预测更精准)。该结论为在数字化变革中,审计师如何能动应对大样本档案提供了证据,并为实务中事务所发展数字化审计提供了一些启示。

企业竞争战略与管理层策略性业绩:基于管理层业绩预告的分析

从战略管理理论出发研究竞争战略对管理层盈利预测策略的影响。结果表明,采取差异化战略的企业更可能自愿披露盈利预测信息,然而预测偏差较大并更倾向于披露悲观消息。机制检验表明经营风险在差异化战略影响盈利预测中起中介作用。进一步研究发现,在国有企业和金融化程度较强的样本中,差异化竞争战略和盈利预测偏差的关系被显著弱化。

审计师与客户间地理距离对分析师预测的影响研究

区位作为制约信息传递的基础性因素,天然地影响着外部经济主体的信息获取成本及监督成本。审计与客户间地理距离差异如何影响审计监督效力一直颇受学者关注。本文基于2017-2021年事务所至企业注册地的距离数据,实证检验了审计与客户间地理距离差异对分析师预测准确度的影响。结果表明,审计师与客户地理临近能够通过提升审计质量、降低大股东侵占行为来提升分析师预测准确度。该提升效果在两权分离度越严重的样本中更加明显;在被审计单位和事务所交通便利、审计师具有行业专长的样本中,这种提升效果会被削弱。本文的研究从地理经济学视角丰富了审计与客户信息差异的经济后果研究。

连锁股东的协同效应——基于应计盈余管理和真实盈余管理的视角

随着连锁股东在中国资本市场越来越常见,分析连锁股东对企业的影响具有理论价值及现实意义。通过手工整理季度层面十大股东信息,以2007—2020年沪深A股上市公司为样本,从连锁股东的治理协同效应和利益协同效应视角分析其对企业盈余管理的影响。研究结果表明:连锁股东与企业盈余管理的回归系数显著为负,降低了企业应计盈余管理和真实盈余管理的程度。进一步的分析结果表明:连锁股东主要是减少了企业的正向应计盈余管理、异常的酌量性费用和经营活动现金流量;控股股东的身份有助于连锁股东发挥自身的协同效应;连锁股东对受分析师关注较多的企业盈余管理的抑制作用更强。影响机制分析表明,连锁股东通过提高企业治理水平及产品市场势力,降低对管理层的股权激励,进而降低企业盈余管理。

The effect of non-recurring items on analysts' earnings forecasts

This article discusses the effects of non-recurring profits and losses on statement users' decision-making processes from the perspective of securities analysts. We examine the relationship between analysts' forecast revisions and firms' non-recurring earnings. We find that 1) non-recurring gains and losses can influence analysts' earnings forecast revision; 2) compared with nonrecurring items resulting from policy changes, analysts are more concerned about those attributed to changes in business scope; 3) if listed companies use non-recurring items to turn losses into gains during earnings management,it will weaken the effects of non-recurring items on analysts' earnings forecast revision. The results suggest that non-recurring items that result from changes in business scope incorporate information that users need for the future operation of the business. This article verifies the information relevance of nonrecurring items and provides evidence for the necessity of non-recurring item disclosure.

Does an abnormal change in deferred tax assets interfere with analysts' earnings forecasts?

In 2007,China adopted the single balance sheet liability method for tax accounting,but its shortcomings have emerged.I sample A-share listed companies from 2007 to 2018 to study whether an abnormal change in deferred tax assets interferes with analysts’earnings forecasts and find that an abnormal change in deferred tax assets increases the error and divergence of these forecasts.Compared with a negative abnormal change in deferred tax assets,a positive abnormal change has a greater impact on earnings forecasts.Additionally,the level of corporate governance,audit quality and analysts’professional ability have moderating effects on the correlation between an abnormal change in deferred tax assets and earnings forecasts.However,an abnormal change in deferred tax liabilities does not have a significant impact on that correlation.

线上销售能否改善资本市场信息环境——基于分析师盈余预测的证据

基于2015—2019年上市公司通过互联网平台进行线上销售的独特数据,本文研究了线上销售对分析师盈余预测的影响。研究发现:(1)上市公司进行线上销售显著降低了分析师盈余预测误差和分歧度,提升了分析师盈余预测质量,且上述结果在仅保留线上销售行业和PSM匹配后的样本、采用Heckman两阶段模型等方式缓解内生性问题后仍然成立;(2)线上销售对分析师盈余预测质量的提升作用在分析师公开获取信息渠道较少、获取信息成本较高时更为显著;(3)机制检验发现,线上销售可以通过降低盈余波动,或者抑制盈余管理以改善公司盈余信息质量,进而降低分析师盈余预测误差和分歧度。研究结果表明,线上销售不仅增加了分析师获取公司特质信息的来源,而且一定程度上改善了盈余信息质量,有助于分析师发挥资本市场信息中介的重要作用,提高资本市场效率。

Analyst Coverage,Forecasting Bias,and Corporate Innovation:Evidence from China

Due to information asymmetry and strategic innovation,firms often encounter challenges related to insufficient driving forces and low-quality innovation outcomes.Analysts always act as information intermediaries who help foster the advancement of corporate innovation activities and the conversion of innovation output.This study examines the impact of analyst coverage and forecasting bias on corporate innovation,employing data from China A-shared listed firms spanning the period 2007 to 2019.We measure corporate innovation from two perspectives:Input and output.Specifically,we use the ratio of research and development(R&D)expenditure to sales as a proxy for the innovation input and the number of patent citations excluding self-citations to measure innovation output.We find that analyst coverage promotes corporate innovation,which is consistent with the“bright”side of analyst coverage.However,the positive effect of analyst coverage hinges on effectively transmitting and disclosing accurate information to investors in the capital market.Based on this,analysts'forecasting bias includes forecasting dispersion and optimism bias.We find evidence that an increase in analysts'forecast dispersion leads to a decrease in corporate innovation quality.Moreover,this paper presents a novel approach by employing the regression discontinuity method to examine the effect of analyst optimistic bias on firm innovation.The empirical findings reveal that overly optimistic forecasts by analysts exacerbate innovation quality.These analyses enrich the research on analyst coverage and corporate innovation,providing an empirical basis for improving the capital market with the help of analysts.

分行业信息披露能提高业绩预告质量吗?——基于准自然实验的证据

分行业信息披露是注册制下高质量监管的重要内容。本文基于沪深交易所分批次颁布行业信息披露指引这一准自然实验构建双重差分模型,实证分析了行业信息披露义务是否改变了公司的策略性信息披露行为。研究发现,要求上市公司披露行业经营性信息能够提高管理层业绩预告质量,且信息透明度、分析师关注度、法制环境、业绩预告属性和经营风险在分行业信息披露对业绩预告质量的影响中发挥着调节作用。会计稳健性和会计信息可比性是潜在机制。本研究有助于理解以行业为属性的信息披露政策对上市公司业绩预告披露行为的影响,同时对完善我国业绩预告制度也有一定的启发。

MD&A纵向文本相似度与分析师盈余预测准确性

注册制下,信息的真实、准确、完整是投资者合理判断证券价值的关键,分析师在信息作用于股价这一过程中扮演着重要的信息中介角色,而年报所披露的信息对分析师盈余预测至关重要。以2012—2021年沪深A股上市公司为样本,探究了管理层讨论与分析(MD&A)纵向文本相似度对分析师盈余预测准确性的影响。研究发现,MD&A纵向文本相似度越高,分析师盈余预测准确性越低,证实了“增量信息”假说。异质性分析表明,这种影响显著存在于规模小、高科技行业、媒体关注度低的公司中,并且公司位于市场化程度低省份时受此影响更大。进一步研究发现,MD&A纵向文本相似度越高,分析师盈余预测的正向偏差越大。此外,分析师盈余预测准确性的下降会进一步降低资本市场的信息效率。因此,上市公司应重视文本信息披露,避免披露内容样板化;分析师和监管部门应加强对上市公司文本信息披露的监督,优化资本市场信息环境。

分析师的疲劳、预测质量与股票收益——来自中国资本市场的证据

分析师的决策疲劳是否导致预测质量下降是业界关注的问题,本文对中国A股市场中分析师疲劳与预测质量关系进行研究,经过对2006—2023年A股市场卖方分析师个股研究报告中的盈余预测进行数据统计和分析,研究发现:分析师的决策疲劳与盈余预测误差呈正向关系,即随着一周内发布预测的增加,分析师对公司盈余预测误差也在增大。分析师在决策疲劳严重时发布的预测会预示着未来个股中长期收益降低,盈余预测误差在这一关系中充当部分中介变量。决策疲劳引起的较低股票收益与市场信息不对称相关。

ESG改善对企业劳动投资效率的提升作用研究

企业ESG表现的改善,能够强化内部控制,优化信息环境,进而可以通过缓解委托代理冲突和加强外部监督来提高劳动投资决策的科学性和有效性,实现劳动投资效率的提升。采用沪深A股上市公司2009—2022年的数据分析发现:ESG表现改善可以显著提升企业的劳动投资效率,该结论在经过缓解内生性、变量处理、排除非劳动投资影响等一系列稳健性检验后依然成立;ESG表现改善主要通过优化企业的雇佣行为来提升劳动投资效率,即以减少雇佣(而非增加解雇)的方式抑制劳动投资过度,以增加雇佣(而非减少解雇)的方式缓解劳动投资不足;ESG表现改善能够通过降低代理成本和提高分析师预测质量两条路径来提高企业劳动投资效率,并对信息披露质量较高的企业和劳动密集度较高的企业具有更为显著的劳动投资效率提升效应。因此,企业应积极增加ESG投资,并通过提高自身的信息披露质量促进分析师预测质量提升,通过降低代理成本减少非效率劳动投资行为,以有效提升劳动投资效率。