{"title":"How Often Do Managers Withhold Information?","authors":"J. Bertomeu, Paul Ma, I. Marinovic","doi":"10.2139/ssrn.2741778","DOIUrl":"https://doi.org/10.2139/ssrn.2741778","url":null,"abstract":"\u0000 We estimate a dynamic model of voluntary disclosure, using annual management forecasts of earnings, that features a manager with price motives and an uncertain, but persistent, information endowment. Our estimates imply that: (1) managers face disclosure frictions 35 percent of the time; (2) conditional on being informed, managers withhold information 17 percent of the time; and (3) conditional on being silent, managers possess information 24 percent of the time. Managers' strategic withholding motives increase investors' uncertainty about earnings by 3 percent. We find that managers' price motives reduce strategic withholding by one-third in response to investors' increased skepticism in the event of non-disclosure.\u0000 JEL Classifications: D82; D83; G17.","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126300311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Moving Beyond Histogram Bin Frequencies as Prima Facie Evidence of Earnings Management (Or a Discussion of 'Understanding the 'Numbers Game'')","authors":"Joseph J. Gerakos","doi":"10.2139/ssrn.3429969","DOIUrl":"https://doi.org/10.2139/ssrn.3429969","url":null,"abstract":"Bird, Karolyi, and Ruchti (2019) estimate a structural model of earnings management in the setting of meeting-or-beating the analyst consensus forecast. I provide an overview of their methods and findings, and then discuss the assumptions, benefits, and limitations of their approach.","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133936553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Economic Downturns and the Informativeness of Management Earnings Forecasts","authors":"David A. Maslar, Matthew Serfling, Sarah Shaikh","doi":"10.2139/ssrn.3419128","DOIUrl":"https://doi.org/10.2139/ssrn.3419128","url":null,"abstract":"We examine how economic downturns affect the value that market participants place on management earnings forecasts. We find that in downturns, news conveyed in management forecasts elicits larger stock price reactions and analyst forecast revisions, suggesting that analysts and investors place greater value on management forecasts during these times. Further, while investors value analyst forecasts more during downturns, they place even more value on management forecasts, which is consistent with investors perceiving managers as having a greater information advantage. We also document that management forecasts become even more accurate relative to analyst forecasts in downturns, implying that the higher value investors and analysts place on management forecasts during these times is justified. Overall, our results are consistent with the hypothesis that because downturns occur relatively infrequently and have unequal effects on firms, market participants increasingly struggle to forecast earnings during these times and find information provided by managers more valuable.","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114422868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Real Effects of Reporting Key Audit Matters on Auditors' Judgment and Choice of Action","authors":"Karsten Asbahr, Klaus Ruhnke","doi":"10.1111/ijau.12154","DOIUrl":"https://doi.org/10.1111/ijau.12154","url":null,"abstract":"This experimental study analyzes whether reporting an accounting estimate as a key audit matter (KAM) can influence auditor judgment about the accounting estimate and the corresponding action. We find that skeptical action in the form of proposed adjustment amounts is significantly lower when the accounting estimate is reported as a KAM. Thus, the disclosure of a KAM can serve as a moral license to waive an adjustment. Taking into account that the KAM disclosure does not affect auditors' skeptical judgments in the form of a reasonableness assessment of the accounting estimate, our results indicate the existence of a judgment–action gap. Furthermore, implicit client pressure does not enlarge the moral licensing effect of the KAM disclosure. We also find evidence that audit effort is not affected by reporting a KAM. Overall, our study contributes to the current debate about the audit reporting model by showing that reporting a KAM might have unintended “real effects” on auditors' actions.","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117302639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Online Worker Fraud and Evolving Threats to the Integrity of MTurk Data: A Discussion of Virtual Private Servers and the Limitations of IP-Based Screening Procedures","authors":"Sean A. Dennis, Brian M. Goodson, C. Pearson","doi":"10.2308/BRIA-18-044","DOIUrl":"https://doi.org/10.2308/BRIA-18-044","url":null,"abstract":"\u0000 We identify a pervasive, yet previously undocumented threat to the reliability of MTurk data—and discuss how this issue is symptomatic of opportunities and incentives that facilitate fraudulent behavior within online recruitment platforms. In doing so, we explain how IP addresses were never intended to identify individuals and are likely insufficient to identify and mitigate emergent risks around data integrity. We discuss MTurk samples for two studies that include alarming proportions of participants who circumvent an entire set of conventional sample screening methods—and provide disturbingly low-quality responses. These “bad actors” exploited inherent limitations of IP screening procedures by using virtual private servers (VPS) that concealed the IP address of their local devices. While service providers now help target this abuse, the underlying limitations of IP screening procedures remain. Our findings emphasize the importance of continued diligence within the research community to identify and mitigate evolving threats to data integrity.","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124034120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep Learning in Asset Pricing","authors":"Luyang Chen, Markus Pelger, Jason Zhu","doi":"10.2139/ssrn.3350138","DOIUrl":"https://doi.org/10.2139/ssrn.3350138","url":null,"abstract":"We use deep neural networks to estimate an asset pricing model for individual stock returns that takes advantage of the vast amount of conditioning information, keeps a fully flexible form, and accounts for time variation. The key innovations are to use the fundamental no-arbitrage condition as criterion function to construct the most informative test assets with an adversarial approach and to extract the states of the economy from many macroeconomic time series. Our asset pricing model outperforms out-of-sample all benchmark approaches in terms of Sharpe ratio, explained variation, and pricing errors and identifies the key factors that drive asset prices. This paper was accepted by Agostino Capponi, finance. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2023.4695 .","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114633152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physical Laws and Human Behavior: A Three-Tier Framework","authors":"S. Mousavi, S. Sunder","doi":"10.2139/ssrn.3374715","DOIUrl":"https://doi.org/10.2139/ssrn.3374715","url":null,"abstract":"Social sciences start by looking at the social-psychological attributes of humans to model and explain their observed behavior. However, we suggest starting the study of observed human behavior with the universal laws of physics, e.g., the principle of minimum action. In our proposed three-tier framework, behavior is a manifestation of action driven by physical, biological, and social-psychological principles at the core, intermediate, and top tier, respectively. More broadly, this reordering is an initial step towards building a platform for reorganizing the research methods used for theorizing and modeling behavior. This perspective outlines and illustrates how a physical law can account for observed human behavior and sketches the elements of a broader agenda.","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116773368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of IAS 39 reclassification on income smoothing by European banks","authors":"Peterson K. Ozili","doi":"10.1108/JFRA-08-2018-0068","DOIUrl":"https://doi.org/10.1108/JFRA-08-2018-0068","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to examine the impact of the reclassification of International accounting standard (IAS) 39 on income smoothing using loan loss provisions among European banks.\u0000\u0000\u0000Design/methodology/approach\u0000Regression methodology is used to determine the extent of income smoothing using loan loss provisions before and after IAS 39 reclassification. The authors predict that the strict recognition and re-classification requirements of IAS 139 reduced banks’ ability to smooth income using bank securities and derivatives, motivating them to rely more on loan loss provisions to smooth income. The authors test this hypothesis over a sample of 114 European banking institutions over the period 2005 to 2013.\u0000\u0000\u0000Findings\u0000The findings do not support the prediction for income smoothing through loan loss provisions. Also, there is no evidence for income smoothing in the pre- and post-IAS 39 reclassification period.\u0000\u0000\u0000Research limitations/implications\u0000The implication of the findings is that the European banks did not use loan loss provisions to smooth income during the period examined, and rather rely on other accounting numbers to smooth income. This implies that the International Accounting Standards Board’s strict disclosure regulation improved the reliability and informativeness of loan loss provision estimates among European banks during the period of analysis.\u0000\u0000\u0000Originality/value\u0000This study is the first attempt to analyze the effect of IAS 39 re-classification on bank’s ability to smooth income in Europe.\u0000","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121896064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tonny Stenheim, Anna Natalia Beckman, Cathrine Olsen Valltoft, D. Madsen
{"title":"The value relevance of alternative performance measures: Evidence from the Oslo Stock Exchange","authors":"Tonny Stenheim, Anna Natalia Beckman, Cathrine Olsen Valltoft, D. Madsen","doi":"10.22495/JGR_V7_I4_P4","DOIUrl":"https://doi.org/10.22495/JGR_V7_I4_P4","url":null,"abstract":"Companies disclose alternative performance measures (APMs), either to provide useful information to the market, or strategically in order to mislead the market. Using traditional price and return regressions, this study examines the value relevance of APMs and whether such measures are more value relevant than financial statement measures. The sample consists of the 100 largest companies listed on the Oslo Stock Exchange with quarterly data from 2012 to 2016. The authors find APMs to be value relevant for investors on the Oslo Stock Exchange. Furthermore, the authors conclude that APMs are more value relevant than financial statement measures. However, this finding should be interpreted with caution since the results are of limited statistical significance. Overall, the findings of this study suggest that companies disclose APMs to inform rather than mislead the market.","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133494874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Note on Karl Pearson’s 1900 Chi-Squared Test: Two Derivations of the Asymptotic Distribution, and Uses in Goodness of Fit and Contingency Tests of Independence, and a Comparison with the Exact Sample Variance Chi-Square Result","authors":"T. Crack","doi":"10.2139/ssrn.3284255","DOIUrl":"https://doi.org/10.2139/ssrn.3284255","url":null,"abstract":"Karl Pearson’s chi-squared test is widely known and used, both as a goodness-of-fit test for hypothesized distributions or frequencies, and in tests of independence in contingency tables. The test was introduced in Pearson (1900), but the derivation in that paper is almost incomprehensible. Two derivations of the asymptotic distribution are given here. The first uses joint characteristic functions, and the second uses a multivariate central limit theorem. Goodness-of-fit tests and contingency table tests of independence are discussed, and the asymptotic chi-square distribution result for Pearson’s test statistic is compared and contrasted with the exact chi-square result for the sample variance estimator.","PeriodicalId":202880,"journal":{"name":"Research Methods & Methodology in Accounting eJournal","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116107260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}