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...

We examine the extent to which analysts who participate in earnings conference calls by asking questions possess superior private information relative to analysts who do not ask questions. Using a large sample of earnings conference call transcripts over the period 2002 to 2005, we find that...

We experimentally study the deception detection capabilities of experienced auditors, using CEO narratives from earnings conference calls as case materials. We randomly assign narratives of fraud and non-fraud companies to auditors as well as the presence versus absence of an instruction...

This paper deepens our understanding of the anatomy of an earnings conference call. Prior research indicates that, on average, analysts providing bullish stock recommendations or beatable earnings forecasts benefit from greater access to corporate management. Therefore, we analyze whether and to...

We experimentally study the deception detection capabilities of experienced auditors, using CEO narratives from earnings conference calls as case materials. We randomly assign narratives of fraud and non-fraud companies to auditors as well as the presence versus absence of an instruction...

A deep voice is evolutionarily advantageous for males, but does it confer benefit in competition for leadership positions? We study ecologically valid speech from 792 male public-company Chief Executive Officers (CEOs) and find that CEOs with deeper voices manage larger companies, and as a...