Auditor mood and audit quality: evidence from music sentiment measure

Purpose - Extant studies propose music sentiment as a novel measure of individuals’ sentiment. These studies argue that individuals’ choice of music reflects their emotional condition in real time and influences their cognitive ability, making it a powerful tool for assessing their mood. This study aims to use music sentiment as a proxy for auditors’ mood and explore its impact on audit quality. Design/methodology/approach - A sample of the US firms from 2017 to 2020 is used in the study. The authors apply the ordinary least squares regressions and the logit regressions to the audit quality models. The authors use absolute discretionary accruals and the propensity to meet or beat earnings forecasts as proxies for audit quality and calculate a stream-weighted average sentiment measure for Spotify’s Top-200 songs of each day during the audit period of a client firm to capture the sentiment of auditors. Findings - The authors find that music sentiment is positively associated with audit quality. The result is consistent with the mood maintenance hypothesis, which suggests that a positive mood can induce auditors to be more careful in risky situations. Furthermore, the result is robust to various sensitivity analyses. Originality/value - The study contributes to the scarce literature that focuses on auditors’ emotional state and highlights the importance of monitoring auditor mindset during the audit period.