Do seasoned industry specialists provide higher audit quality? A re-examination

The purpose of this paper is to re-examine the recent findings in Gaver and Utke (2019) (GU) who find that seasoned industry specialist auditors provide higher audit quality. We first illustrate how the magnitude of residuals from the accruals model can vary significantly by industry, thus highlighting the importance of including industry fixed effects when the dependent variable is discretionary accruals. We next replicate GU’s findings. We first attempt to replicate prior literature after including industry fixed effects in the audit quality (discretionary accruals) models. This is an important control, as the relevant benchmark for a firm with an industry specialist auditor is a peer firm in the same industry with a non-specialist auditor. We find that after including industry fixed effects, there is no association between seasoned industry specialist auditors and discretionary accruals. We also find that the association between industry specialization and discretionary accruals is very sensitive to the way in which the researcher calculates specialization. Our findings are informative for shareholders of public companies who vote on auditor ratification.     

Selective disclosure and the role of Form 8-K in the post-Reg FD era

We investigate the impact of Form 8-K filings on cross-firm differences in analysts’ private or idiosyncratic information in the post-Reg FD era. Using firms’ connections to the investment community to identify the likelihood of selective disclosure, we document differences in analysts’ idiosyncratic information arising from selective disclosure before 8-K filings. While filings of 8-Ks pursuant to Reg FD attenuate the link between connections and analysts’ idiosyncratic information, they do so only after selective disclosures have already resulted in some analysts having better private information. In addition, the connections continue to facilitate private information search after the filings of non-Reg FD-specific 8-Ks.     

Security regulations,access to capital markets,and firm performance: Evidence from China

This study explores the cost of security regulations in China, where firms are required to meet a certain profitability benchmark before applying for permission to raise more equity via secondary equity offerings (SEOs). Using a difference-in-differences setting, we show that firms affected by the regulation (i.e., firms with high external financing demands (EFD) but profitability lower than the regulatory requirement) significantly underperform their counterparts, while unaffected firms do not. The affected firms’ performance decline increases (decreases) when the requirement of profitability is more (less) restricted. Consistently, the three-day cumulative abnormal return (CAR) of firms with high EFD is significantly negative (positive) when the regulation is tightened (loosened). Our study provides evidence on how the cost of regulation affects companies that have growth opportunities.     

资源配置视角下战略性新兴产业基地建设决策过程研究

采用案例分析法，以国家传感网创新示范区建设的决策过程为研究对象，从资源配置视角重新审视了战略性新兴产业基地建设的决策过程。结果表明，在战略性新兴产业基地建设决策过程中，地方政府充分发挥了主观能动性，与中央政府、科研机构及企业积极互动，获得了建设产业基地的资源。同时，中央政府完成了与产业基地甄选及部署相关的资源配置。     

The effects of analyst forecasts and earnings trends on perceptions of management forecast credibility

We examine whether analyst forecasts influence investors’ perceptions of the credibility of a good news management earnings forecast. We hypothesize that the effect of analyst forecasts will depend on whether the analyst forecast confirms management’s forecast and the extent to which management’s forecast is consistent with the prior earnings trend. Findings indicate that the positive effect of a confirming analyst forecast is greater when the management forecast is trend inconsistent than when it is trend consistent. The negative effect of a disconfirming analyst forecast does not differ based on management forecast trend consistency.     

Empirical Analysis of Consumer Purchase Behavior: Interaction Between State Dependence and Sensitivity to Marketing-Mix Variables1

People are intent to make similar choices especially in consumer goods markets. To address both explanations of this persistence, i.e. state dependence and heterogeneity in preferences, we use random coefficient logit model based on scanner panel data on juice purchases. The product differentiation of the chosen category allows us to model three dimensions of state dependence on brand, size and flavor characteristics. We provide evidence that the persistence in brand choices is positively correlated with persistence in size and flavor choices, thus the consumer pattern is prone to be inertial or variety seeking in every product characteristics. Simultaneously we show that the more sensitive to price and promotional activities consumers are, the less inertial is their behavior.     

The M4 Competition: Results,findings, conclusion and way forward

The M4 competition is the continuation of three previous competitions started more than 45 years ago whose purpose was to learn how to improve forecasting accuracy, and how such learning can be applied to advance the theory and practice of forecasting. The purpose of M4 was to replicate the results of the previous ones and extend them into three directions: First significantly increase the number of series, second include Machine Learning (ML) forecasting methods, and third evaluate both point forecasts and prediction intervals. The five major findings of the M4 Competitions are: 1. Out Of the 17 most accurate methods, 12 were “combinations” of mostly statistical approaches. 2. The biggest surprise was a “hybrid” approach that utilized both statistical and ML features. This method’s average sMAPE was close to 10% more accurate than the combination benchmark used to compare the submitted methods. 3. The second most accurate method was a combination of seven statistical methods and one ML one, with the weights for the averaging being calculated by a ML algorithm that was trained to minimize the forecasting. 4. The two most accurate methods also achieved an amazing success in specifying the 95% prediction intervals correctly. 5. The six pure ML methods performed poorly, with none of them being more accurate than the combination benchmark and only one being more accurate than Naïve2. This paper presents some initial results of M4, its major findings and a logical conclusion. Finally, it outlines what the authors consider to be the way forward for the field of forecasting.     

The impact of accounting restatements on corporate innovation strategy

This study examines the effect of accounting restatements on corporate innovation strategy. Using a sample of restating firms and propensity-score-matched non-restating firms from 2000 to 2009, we find that, after restatements, restating firms experience a greater increase in exploratory innovation and a greater reduction in exploitative innovation compared to non-restating firms. These results suggest that restating firms are associated with an increased risk appetite as managers believe the upside potential may yield corporate improvement. The results also differ between fraudulent and non-fraudulent restatements, and among restatements of varying severity. The results of this study shed light on a previously unexplored consequence of accounting restatement and highlight its real impact on corporate business strategy.     

ON THE PROFITABILITY OF RESALE PRICE MAINTENANCE WHEN DEMAND IS UNCERTAIN

A previous study finds that in a market where a manufacturer faces uncertain demand and sells to consumers through competitive retailers, the manufacture wishes to support adequate retail inventories by imposing resale price maintenance (RPM). I show that if retail inventories are allocated to consumers through first‐come‐first‐served rule rather than efficient rationing rule in the game with unconstrained retail competition, imposing RPM may not be profitable. It may not encourage more retail inventories either. RPM may also lower consumer surpluses and social welfare. This study casts some doubt on the demand uncertainty theory that supports RPM.     

基于广义资源观的企业并购整合的价值创造

并购是重新配置资源有效机制,而并购后的整合是提高社会资源配置的有效手段。并购后整合是否能实现价值的创造是决定企业是否进行并购的重要决定因素。基于广义资源观,探讨了并购后整合的价值创造机理,认为在企业并购中资源、能力和知识的转移是可以实现的,但因要素特性不同和转移过程中遇到的影响因素不同使得其转移的过程和难度有所不同。在企业并购中,经过长期学习积累起来的、以知识为主要形态的无形资源、隐性知识和核心能力的转移难度就很大。无形资源、隐性知识和核心能力的转移难度与这些要素的特征有直接关系。