Religion has been shown to influence economic choices and outcomes in a variety of contexts. Honesty and risk aversion are two social norms forwarded to characterize the religious. Using the level of religious adherence in the county of a US firm's headquarters as a proxy for these religious social norms, we find that higher levels of religious adherence are associated with both a lower likelihood of financial restatement and less risk that financial statements are misrepresented because of overstated (understated) revenue/assets (expenses/liabilities). We also find that accruals of managers in areas of high religious adherence exhibit smaller deviations from expectations, and deviations, when they occur, tend to improve the time series mapping of accruals into cash flows. These results hold overall and separately for both Catholic and Protestant religious adherence. Further analysis reveals that the effects of religious social norms extend beyond accrual choices. We find that firms located in areas of high religious adherence are less likely to engage in tax sheltering, and are more forthcoming with bad news in their voluntary disclosures. Collectively, our results provide new evidence on the role of religion and social norms in corporate financial reporting.

We measure managerial affective states during earnings conference calls by analyzing conference call audio files using vocal emotion analysis software. We hypothesize and find that, when managers are scrutinized by analysts during conference calls, positive and negative affects displayed by managers are informative about the firm's financial future. Analysts do not incorporate this information when forecasting near-term earnings. When making stock recommendation changes, however, analysts incorporate positive but not negative affect. This study presents new evidence that managerial vocal cues contain useful information about a firm's fundamentals, incremental to both quantitative earnings information and qualitative "soft" information conveyed by linguistic content.It is not what you say that matters but the manner in which you say it; there lies the secret of the ages.-

This paper considers the potential for public information disclosures to complement the existing private information of financial analysts. In such a setting, analysts allowed to participate during earnings conference calls by asking questions receive public signals that can facilitate the generation of new and valuable private information for the asking analyst. Realizing these public signals are valuable for the asking analyst, managers can use their discretion to discriminate among analysts by granting more participation to more favorable analysts. I use post-Regulation Fair Disclosure conference call transcripts to document that the probability of an analyst asking a question during an earnings conference call is increasing in the favorableness of the analyst's outstanding stock recommendation. I also find that downgrades are associated * Fuqua School of Business, Duke University. I appreciate the helpful suggestions and insights received from Phil Berger (Editor), an anonymous reviewer, and my dissertation committee:

We examine whether vocal markers of cognitive dissonance are useful for detecting financial misreporting. We use speech samples of CEOs during earnings conference calls, and generate vocal dissonance markers using automated vocal emotion analysis software. We begin by assessing construct validity for the software-generated dissonance markers by correlating them with four dissonance-from-misreporting proxies obtained in a laboratory setting. We find a positive association between these proxies and vocal dissonance markers generated by the software, suggesting the software's dissonance markers have construct validity. Applying the software to CEO speech, an anonymous referee for helpful comments and discussions. We also appreciate suggestions from workshop participants at the 2009 we find that vocal dissonance markers are positively associated with the likelihood of irregularity restatements. The diagnostic accuracy levels are 11% better than chance and of similar magnitude to models based solely on financial accounting information. Moreover, the association between vocal dissonance markers and irregularity restatements holds even after controlling for financial accounting and linguistic-based predictors. Our results provide new evidence on the role of vocal cues in detecting financial misreporting.

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This paper explores the role of textual disclosures in the Management, Discussion, and Analysis (MD&A) section of a firm's SEC 10-K filing in predicting a firm's ability to continue as a going concern. Using a sample of firms that filed for bankruptcy between 1995 and 2012 to identify firms that cease as a going concern, we find that both management's opinion about going concern reported in the MD&A and the linguistic tone of the MD&A together provide significant explanatory power in predicting whether a firm will cease as a going concern. Moreover, the predictive ability of MD&A disclosure is incremental to financial ratios, market-based variables, and even the auditor's going concern opinion. We also find that the incremental predictive ability of MD&A disclosures extends to three years prior to bankruptcy.

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We examine the determinants of managers' use of discretion over employee stock option (ESO) valuation‐model inputs that determine ESO fair values. We also explore the consequences of such discretion. Firms exercise considerable discretion over all model inputs, and this discretion results in material differences in ESO fair‐value estimates. Contrary to conventional wisdom, we find that a large proportion of firms exercise value‐increasing discretion. Importantly, we find that using discretion improves predictive accuracy for about half of our sample firms. Moreover, we find that both opportunistic and informational managerial incentives together explain the accuracy of firms' ESO fair‐value estimates. Partitioning on the direction of discretion improves our understanding of managerial incentives. Our analysis confirms that financial statement readers can use mandated contextual disclosures to construct powerful ex ante predictions of ex post accuracy.