We conduct an experiment to examine the effects of guidance frequency (frequent vs. infrequent) and guidance goal (accuracy vs. meet/beat vs. truthful) on managers’ operating decisions. We find that frequent guiders sacrifice total earnings for quarterly earnings predictability irrespective of their guidance goals. Furthermore, when guidance is infrequent, guiders with accuracy goals opt for quarterly earnings predictability over total earnings more often than do guiders with either meet/beat goals or truthful goals. These findings have implications for regulators and investors in terms of the unintended consequences of requesting frequent earnings guidance. Further, while managers may perceive that accuracy goals can help their firms establish forecasting and reporting reputations, we show that accuracy goals may result in dysfunctional internal managerial decisions, particularly when guidance is issued infrequently.

We experimentally investigate how jargon affects investment willingness for investors with different industry knowledge, and whether such effects vary with good or bad jargon. We find that for investors without industry knowledge, jargon decreases investment willingness because it decreases understanding. However, for investors with some but low industry knowledge, jargon increases investment willingness because it increases perceived product premium. Such effects exist whether good or bad jargon is used. Finally, investors with high industry knowledge differentiate between good and bad jargon, and reduce investment willingness only when bad jargon is used. These findings have implications for regulators, managers, and investors.

Recent studies document that market participants react positively to the positive language sentiment or tone embedded in financial disclosures, and that investors’ reactions to negative news are more muted with poor disclosure readability. However, while language sentiment and readability co‐occur in practice, their joint effects remain largely unexplored. In an experiment with MBA students as participants, we investigate how the effect of language sentiment varies with readability and investor sophistication level. We find that language sentiment influences investors’ judgments when readability is low, but not when readability is high. Specifically, when readability is low, disclosures couched in positive language lead to higher earnings judgments for less sophisticated investors, but lower earnings judgments for more sophisticated investors. These findings show that the main effects of readability and language sentiment documented in prior studies have boundary effects, and may reverse when both variables are jointly considered along with investor sophistication.

We conduct two experiments with experienced accountants to investigate how fair value accounting affects managers’ real economic decisions. In experiment 1, we find that participants are more likely to make suboptimal decisions (e.g., forgo economically sound hedging opportunities) when both the economic and fair value accounting impact information is presented than when only the economic impact information is presented, or when both the economic and historical cost accounting impact information is presented. This adverse effect of fair value accounting is more likely when the price volatility of the hedged asset is higher, which is a situation where, paradoxically, hedging is more beneficial. We find that the effect is mediated by participants’ relative considerations of economic factors versus accounting factors (e.g., earnings volatility). Experiment 2 shows that enhancing salience of economic information or separately presenting net income not from fair value remeasurements reduces the adverse effect of fair value accounting. Our findings are informative to standard setters in their debate on the efficacy of fair value accounting.