The role of reconciliation quality in limiting mispricing of non-GAAP earnings announcements by EURO STOXX firms

This empirical study investigates the relationship between the market mispricing of pro forma earnings announcements and the degree to which pro forma earnings are quantitatively reconciled with GAAP (Generally Accepted Accounting Principles) earnings. For a sample of EURO STOXX Fixed Index companies we find evidence of positive abnormal returns related to pro forma earnings disclosures, and, upon further analyses, conclude that this evidence is generally more consistent with the notion of market mispricing than omitted risk factors. Moreover, when reconciliation quality is controlled, market mispricing is found to be prevalent and pronounced only for low quality reconciliations. This finding suggests that reconciliation is important in reducing market mispricing.     

Can analysts predict rallies better than crashes?

We use the copula approach to study the structure of dependence between sell-side analysts’ consensus recommendations and subsequent security returns, with a focus on asymmetric tail dependence. We match monthly vintages of I/B/E/S recommendations for the period January–December 2011 with excess security returns during six months following recommendation issue. Using a mixed Gaussian–symmetrized Joe–Clayton copula model we find evidence to suggest that analysts can identify stocks that will substantially outperform, but not underperform relative to the market, and that their predictive ability is conditional on recommendation changes.     

Disclosure of internal control material weaknesses and optimism in analyst earnings forecasts

This paper investigates how analyst forecast optimism is associated with disclosures of internal control material weaknesses (ICMWs) and their remediation under Section 404 of the Sarbanes–Oxley Act (SOX). Drawing on agency theory, I hypothesize that analysts are likely to issue earnings forecasts that are more optimistic for firms with ICMW disclosures than for those without ICMW disclosures. Using a sample of 20,875 firm-year observations with 10-K (10-Q) reports from 2004 to 2018, I find a positive association between ICMW disclosures and analyst forecast optimism. This positive association is partially driven by investors’ inability to unravel analyst forecast bias and analysts’ intentions to curry favor with management for private information. In addition, analysts are found to issue less optimistic forecasts for firms with ICMW remediation disclosures compared with those without ICMW remediation disclosures. A series of propensity score matching and regression analyses are conducted to test the robustness of my inferences. Overall, the paper suggests that analysts have incentives to take the opportunity of firms disclosing ICMWs to bias their forecasts upward for self-interest. The findings have the potential to assist regulators in guiding analyst behavior and educating investors to unravel positive bias in analyst forecasts.     

自利抑或协同：非国有股权参与如何影响国有企业绿色技术创新

基于外部性理论与制度理论，以2013-2019年A股国有上市公司为研究样本，利用面板Tobit模型考察非国有股权参与对国有企业绿色技术创新的影响。结果发现，非国有股权参与显著促进国有企业绿色技术创新，股权融合程度越高，绿色技术创新水平越高，外资股东参与有利于国有企业绿色技术创新，但机构投资者未表现出明显作用；分层分类检验结果表明，非国有股权参与更有利于中央国有企业、公益类国有企业绿色技术创新。外部治理环境调节效应检验结果表明，环保补贴可以增强非国有股权的环境研发激励作用，分析师关注有利于抑制私有股权短视化自利行为，二者均正向调节非国有股权参与对国有企业绿色技术创新的促进作用。     

Low-carbon city initiatives and analyst behaviour: A quasi-natural experiment

This paper investigates how environmental regulation and action affect analyst behaviour. Exploiting staggered enactment of low carbon city (LCC) initiatives in a difference-in-differences (DiD) setting, we observe that analyst forecast accuracy (dispersion) is significantly lower (greater) for client firms headquartered in cities covered by the LCC pilot programme, especially among firms with a low-quality information environment. The LCC effort affects analyst behaviour via increased firm risk and reduced earnings predictability, causing enhanced site visits and coverage. The results are stronger in cities with more rigorous enforcement and regulation intensity, for private firms with high business complexity and in heavily polluting industries. Results are robust to DiD models with entropy balancing matching, placebo tests, parallel trend tests, and a battery of fixed effects. Collectively, they reveal that environmental regulation has real impacts on analyst forecast behaviour.     

CDS trading and analyst optimism

This paper investigates whether and how the initiation of Credit Default Swaps (CDS) trading affects analyst forecast optimism. First, we document that the initiation of CDS trading curbs analyst forecasts optimism. Second, we find that the dampening effect of CDS on analyst optimism is stronger for firms with negative news and for firms with poorer financial performance or higher leverage, supporting a “correction effect” of CDS on non-strategic optimism. Moreover, we find that CDS also has a “disciplining effect” on strategic optimism that arises from incentives to cultivate relation with management or to please institutional investors. Overall, our evidence shows that the CDS market not only provides important information for analysts, but also alters analysts’ reporting incentives and enhances their objectivity. Additional analysis shows that this effect has disappeared after the Dodd-Frank Act.     

Stock index adjustments and analysts’ forecast optimism: A quasi-natural experiment on the CSI 300 Index

As stock index adjustments comprise a basic system of capital market, their potential influence on analysts’ earnings forecasts is worthy of research. Based on a research sample of 23 adjustments to the CSI 300 Index from June 2007 to June 2018 and the backup stocks announced during the same period, this study examines the impact of additions to stock index on analysts’ forecast optimism using a staggered difference-in-differences model. The research results show that after stocks are added to the stock index, analysts’ earnings forecast optimism about these stocks increases significantly. Cross-sectional analysis indicates that this increase is more significant when the market is bullish, institutional ownership is low, the ratio of listed brokerage firms is low, star analyst coverage is low, firms show seasoned equity offering activity, the ratio of analysts from the top five brokerage firms ranked by commission income is high, and the analysts’ brokerage firms are shareholders. However, analyst-level tests find that analysts’ ability helps to reduce the impact of additions to stock index on earnings forecast optimism. Furthermore, additions to stock index significantly increase analyst coverage and forecast divergence. Economic consequences tests find additions to stock index significantly increases stock price synchronization, which is partly mediated by analysts’ earnings forecast optimism. This study enriches the literature on the impact of basic capital market systems and analyst behavior. The findings suggest that investors should rationally evaluate analysts’ earnings forecasts for stocks added to the stock index and obtain further information from various channels to improve asset allocation efficiency.     

Labor protection,information disclosure and analyst forecasts: Evidence from China’s Labor Contract Law

Labor protection increases employees’ stability and strengthens their monitoring role, improving firms’ information environment and increasing analysts’ earnings forecast accuracy. Using the implementation of China’s Labor Contract Law as a quasi-natural experiment, we find that labor protection significantly improves analyst forecasts. This positive impact is stronger when agency problems are weaker, board independence is greater, corporate reputation is better and industry competition is more intense. Enhanced labor protection significantly reduces firms’ business risk and accrual-based earnings management, decreases stock price synchronicity and increases market pricing efficiency. Our findings of significant impacts of China’s Labor Contract Law on analysts’ forecasting behaviors offer important guidance for promoting the development of the Chinese capital market and policy making in labor protection.     

Mandatory CSR disclosure and analyst forecast properties: Evidence from a quasi-natural experiment in China

Based on a quasi-natural experiment that mandates a subset of listed firms to issue standalone corporate social responsibility (CSR) reports, we examine whether mandatory CSR disclosure improves analysts’ information environment. We focus on two properties of analysts’ earnings forecasts: forecast error and forecast dispersion. We find that the mandatory issuance of standalone CSR reports is related to less forecast error and less dispersed forecasts, and the effect varies with the firm-level information environment and province-level marketization. Additional tests show that the improvement in forecast properties is mainly driven by CSR reports that i) are of high quality and ii) contain more long-term-oriented information than other CSR reports. Our findings provide evidence that mandatory CSR disclosure plays an important informational role for financial analysts.