Reuven Lehavy’s research while affiliated with University of Michigan and other places

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Publications (58)


Cumulative abnormal returns around new product announcement dates. Notes. This figure depicts sample average cumulative abnormal returns in the (-10, +10) window around New product announcement dates (day 0). New product announcements are assigned to the High group when INNOVDIS is above the sample median and to the Low group otherwise
New product announcements, innovation disclosure, and future firm performance
  • Article
  • Full-text available

February 2024

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79 Reads

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6 Citations

Review of Accounting Studies

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Yuan He

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Reuven Lehavy

This study examines the properties of innovation disclosures contained in new product announcements, a form of voluntary, nonfinancial disclosure. We analyze these properties using a novel, text-based measure of the extent of product innovation disclosed in new product announcements. We find that stock prices react more positively to announcements with more extensive innovation disclosure. In our main analyses, we first find that a higher level of innovation disclosure predicts a greater increase in future sales. We further find that this predictive ability falls when managers have stronger incentives to maximize their wealth and when the corporate governance structure and customers’ bargaining power weaken. Our research enhances the understanding of the properties of managerial voluntary, nonfinancial disclosures and contributes a text-based measure of innovation that captures managerial assessment of the extent of product innovation. This new measure is more generalizable and incrementally informative for firm value and future performance than conventional innovation measures that depend on the existence of patents or research and development expenses.

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Managerial expectations and the degree of cost asymmetry. The figure presents regression results for subsamples formed based on the tone of forward-looking statements (each subsample includes, on average, 9390 observations). First, we rank all firm-year observations according to the value of forward-looking statement tone and assign them into quintiles. Then we estimate the following Anderson, Banker and Janakiraman (2003) benchmark model within each quintile and depict the coefficient estimates of β1 and β2: Δ ln SGAi, t = β0 + β1Δ ln REVit + β2REVDECitΔ ln REVit + ϵit
A contextual analysis of the impact of managerial expectations on asymmetric cost behavior

June 2019

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169 Reads

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70 Citations

Review of Accounting Studies

We examine the effect of managerial expectations on asymmetric cost behavior in the context of resource adjustment costs and unused resource constraints. Our results show that the incremental impact of managerial expectations on cost asymmetry is the strongest when adjustment costs and unused resources are high. Conversely, when both are low, expectations have no impact on the degree of cost asymmetry. Furthermore, when the degree of unused resources is high, managerial pessimism is associated with anti-sticky cost behavior but managerial optimism reverses this relation and results in cost stickiness. Finally, we find the strongest cost stickiness under the following: a low degree of unused resources, a high magnitude of adjustment costs, and optimistic managerial expectations; by contrast, the strongest cost anti-stickiness occurs when all three drivers operate in the opposite direction. Our study suggests that additional economic determinants should be considered when assessing the impact of managerial expectations on cost behavior.


Overnight Returns and Firm-Specific Investor Sentiment

March 2018

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243 Reads

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166 Citations

Journal of Financial and Quantitative Analysis

We examine the suitability of using overnight returns to measure firm-specific investor sentiment by analyzing whether they possess characteristics expected of a sentiment measure. We document short-term overnight-return persistence, consistent with existing evidence of short-term persistence in the share demand of sentiment-influenced investors. We find that short-term persistence is stronger for harder-to-value firms, consistent with existing evidence that sentiment plays a larger role for such firms. We show that stocks with high (low) overnight returns underperform (outperform) over the longer term, consistent with prior evidence of temporary sentiment-driven mispricing. Overall, our evidence supports using overnight returns to measure firm-specific sentiment.


Figure B.1. (Color online) Perplexity of LDA Model for Different Numbers of Topics 
Sample Selection Panel A: Sample selection--Earnings conference calls
Determinants of Analyst Information Discovery and Interpretation Roles
Investors' Value of Analyst Information Discovery and Interpretation Efforts
Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach

June 2017

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627 Reads

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420 Citations

Management Science

This study examines analyst information intermediary roles using a textual analysis of analyst reports and corporate disclosures. We employ a topic modeling methodology from computational linguistic research to compare the thematic content of a large sample of analyst reports issued promptly after earnings conference calls with the content of the calls themselves. We show that analysts discuss exclusive topics beyond those from conference calls and interpret topics from conference calls. In addition, we find that investors place a greater value on new information in analyst reports when managers face greater incentives to withhold value-relevant information. Analyst interpretation is particularly valuable when the processing costs of conference call information increase. Finally, we document that investors react to analyst report content that simply confirms managers’ conference call discussions. Overall, our study shows that analysts play the information intermediary roles by discovering information beyond corporate disclosures and by clarifying and confirming corporate disclosures. The Internet appendix is available at https://doi.org/10.1287/mnsc.2017.2751 . This paper was accepted by Suraj Srinivasan, accounting.



Management Expectations and Asymmetric Cost Behavior

January 2015

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700 Reads

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20 Citations

SSRN Electronic Journal

The documentation of asymmetric cost behavior in response to changes in demand has attracted much scholarly attention over the past decade. Most studies propose that this cost asymmetry is due to the influence of management expectations on their deliberate resource allocation decisions. This study examines empirically the effect of management expectations on cost asymmetry, and, principally, the tension between these expectation-based decisions and constrains imposed on these decisions by two economic drivers of the cost asymmetry — the availability of initial slack resources and adjustment costs. Using the tone in the forward-looking statements (FLS) of a sample of 10-K reports as a measure of management expectations, we document a positive and significant relation between the favorableness of management FLS tone and the degree of cost stickiness. Furthermore, we demonstrate that managers’ expectation-driven decisions can reverse the previously documented anti-sticky cost behavior imposed by high slack resources. Notably, we find the impact of management expectations on the degree of cost asymmetry is strongest when both the initial amount of slack resources and the magnitude of the adjustment costs are high. Conversely, when both the magnitude of the adjustment costs and the initial amount of slack resource are low, management expectations have no impact on the degree of cost asymmetry. Our combined evidence supports the theoretical explanation in the literature that management expectations influence their resource allocation decisions, and indicates that other economic determinants may need to be considered when assessing the impact of these decisions on a firm’s cost structure.


A Thematic Analysis of Analyst Information Discovery and Information Interpretation Roles

January 2014

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119 Reads

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13 Citations

SSRN Electronic Journal

In this study, we employ an advanced topic modeling methodology from computational linguistic research to compare and contrast the thematic content of a large sample of analyst reports to that of conference calls. This methodology allows us to explicitly identify and empirically quantify the amount of information analysts discover and interpret in their reports, without referencing to the equity market reaction. Consistent with information discovery, we document that analyst reports issued promptly after conference calls contain a significant amount of discussion on exclusive topics that were not referred to in the conference calls. Moreover, when analysts do discuss the topics covered in the conference call, they frequently use a different vocabulary from that used by managers, consistent with their information interpretation role. Cross-sectionally, we document evidence that analysts respond to investor demand for their services by playing a greater information discovery role when firms’ proprietary cost is high and providing more interpretation when the processing cost of the information in conference calls is high. Finally, we show that investors value both the information interpretation and the information discovery roles played by analysts.


Citations (50)


... Innovation information, 1 particularly textual information, serves as a mechanism for mitigating this asymmetry and is crucial for investors to understand a firm's innovation endeavors (Huang et al., 2021;Liu et al., 2020;Liu et al., 2023aLiu et al., , 2023bVieira & Radonjič, 2020). The importance of textual information has grown as firms' innovation activities become more complex and diverse, providing additional insights to investors beyond what digital financial information can convey (Bellstam et al., 2021;Chu et al., 2024;Hanley & Hoberg, 2010;Li, 2010). Specifically, the tone of this information, especially its positivity, can signal a firm's attitude towards its business operations and innovation potential (Loughran & McDonald, 2011;Tran et al., 2023). ...

Reference:

Is Innovation-Related Textual Information True? Insight from Equity Pledging Behavior in Chinese A-Share Listed Firms
New product announcements, innovation disclosure, and future firm performance

Review of Accounting Studies

... To capture firms' SEPU, we use textual analysis of annual reports to construct a firm-level SEPU index by referring to the existing literature (Baker et al., 2016;Nie et al., 2020;Chen et al., 2023). We then match the SEPU index with Hexun's CSR engagement data. ...

The managerial perception of uncertainty and cost elasticity
  • Citing Article
  • May 2023

Journal of Accounting and Economics

... Methodologically, we extend the approach of Bellstam et al. (2021) and provide a methodological framework based on natural language processing (NLP), using unsupervised Latent Dirichlet Allocation (LDA) topic modelling in combination with sentiment analysis. In this regard, we follow the uprising trend in the literature to derive innovation output indicators from unstructured text data (Mukherjee et al. 2017, Lenz and Winker 2020, Bellstam et al. 2021, Chu et al. 2021, Kinne and Lenz 2021. This enables us to overcome the scalability and subjectivism shortcomings of traditional survey or counting based innovation indicators to provide granular innovation data with broad coverage (Flor and Oltra 2004, Riffe et al. 2019, Sbalchiero and Eder 2020. ...

New Product Announcements, Innovation Disclosure, and Future Firm Performance
  • Citing Article
  • January 2020

SSRN Electronic Journal

... The observed asymmetric cost response to positive versus negative changes in demand, known as cost stickiness, implies that firms choose different resource levels for the same demand level depending on whether demand increased or decreased from the prior period. This surprising finding has triggered an extensive empirical research into the fundamental determinants of the cost stickiness pattern and the reasons for its varying degrees across different firms. 1 The explanations provided in the literature for cost stickiness include asymmetric upward versus downward resource adjustment costs (e.g., Banker, Byzalov, and Chen 2013), asymmetric persistence of positive versus negative demand shocks (e.g., , managerial incentives and preferences such as empire building motivation (e.g., Anderson, Banker, and Janakiraman 2003;Chen, Lu, and Sougiannis 2012), managerial beliefs and behavioral biases such as optimism or overconfidence (e.g., Qin, Mohan, and Kuang 2015;Chen, Kama, and Lehavy 2019), and flaws in empirical measurement (e.g., Riegler and Weiskirchner-Merten, 2021). The literature also identifies factors that mitigate the pattern of cost stickiness and even trigger the opposite pattern of cost anti-stickiness, as introduced by Weiss (2010). ...

A contextual analysis of the impact of managerial expectations on asymmetric cost behavior

Review of Accounting Studies

... ), tend to trade over the night, whereas institutions tend to trade aggressively during the day in the US stock market(Berkman et al. 2012;Lou et al. 2019).Aboody et al. (2018) examine this empirical prediction and confirm the suitability of using overnight return as a measure for firm-level sentiment.However, we cast doubt on the sentiment-based explanation in China. First, unlike the US, the Chinese stock market is dominated by retail investors who contribute 80% of total trading volume and tend to trade dur ...

Overnight Returns and Firm-Specific Investor Sentiment
  • Citing Article
  • March 2018

Journal of Financial and Quantitative Analysis

... Given that Cosemans and Frehen's (2021) salience theory measure effectively distinguishes between overpriced and underpriced stocks, we conduct regressions of the salience theory measure on various firm-level investor sentiment proxies, following the framework proposed by Fu et al. (2021) and Aboody et al. (2018). This analysis aims to assess the suitability of the salience theory measure as a firm-level investor sentiment proxy. ...

Overnight Returns and Firm-Specific Investor Sentiment
  • Citing Article
  • January 2015

SSRN Electronic Journal

... The process of entrepreneurial framing unfolds in the public sphere and involves information intermediaries (infomediaries). Infomediaries such as the media and financial analysts are expert monitors who interpret and develop consolidated assessments of firms and their ecosystems (Graf-Vlachy et al., 2019;Huang et al., 2018). For the heterogeneous participants of an ecosystem, they are important sources of information for the evaluation of the ecosystem's value proposition and of the orchestrator (Bushee et al., 2010;Sharkey et al., 2023;Thomas and Ritala, 2022). ...

Analyst Information Discovery and Interpretation Roles: A Topic Modeling Approach

Management Science

... In response to these potential losses, they may be incentivized to manipulate earnings through aggressive accounting practices, as discussed in research by [51], [52]. This manipulation may involve discretionary adjustments to revenues and expenses to present more favorable financial results, as outlined in studies by [53], [54], [55]. The pioneering work of [44] has profoundly impacted a broad spectrum of research examining how cognitive distortions associated with prospect theory can influence managers' financial reporting behavior. ...

Investor Recognition and Stock Returns
  • Citing Article
  • January 2005

SSRN Electronic Journal

... Textual analysis algorithms can detect sentiment in corporate announcements, mergers and acquisitions, annual reports, and prospectuses. Many scholars have confirmed a relationship between investor attention and financial markets (Aboody et al., 2010;Li et al., 2019;Loh, 2010). Empirical evidence demonstrates that public climate concern can be regarded as investor sentiment and thus affects the returns on carbon-intensive stocks (Choi et al., 2020;Ye & Xue, 2021) and the cost of insuring carbon tail risk (Ilhan et al., 2021;. ...

Limited Attention and the Earnings Announcement Returns of Past Stock Market Winners
  • Citing Article
  • January 2008

SSRN Electronic Journal

... Finally, the paper by Abarbanell and Lehavy (2003) provides an additional view by arguing that it is important to understand the kind of earnings the analysts attempt to forecast at any given time, as that can change depending on the firm's reporting choices. They report a link between the recognition of unexpected accruals and asymmetries in the distributions of forecasting errors, thus claiming that the forecast biases can be induced by reporting policies. ...

Biased Forecasts or Biased Earnings? The Role of Reported Earnings in Explaining Apparent Bias and Over/Underreaction in Analysts' Earnings Forecasts
  • Citing Article
  • January 2003

SSRN Electronic Journal