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The role of information disclosure in financial intermediation with investment risk

Journal of Financial Stability 2020 46, 100720
We study how information disclosure affects financial intermediation when the payoff to the long-term investment is risky. The analysis is based on a business-cycle version of the bank run model wherein a bank provides risk sharing to demand depositors who experience unobservable shocks to their liquidity preferences. The bank pre-commits to the precision of an interim signal regarding the payoff to the long-term investment. We examine the impact of bank disclosure on optimal risk sharing achieved by run-proof, signal-contingent demand-deposit contracts. We show that for utility functions that display non-increasing absolute risk aversion, more informative disclosure improves the ex ante risk sharing provided by financial intermediation.

Connections between the Market Pricing of Accruals Quality and Accounting‐Based Anomalies*

Contemporary Accounting Research 2020 37(4), 2087-2119
We examine whether prior findings on the market pricing of accruals quality (AQ) can be attributed to other forms of accounting‐based anomalies. Using hedge portfolio analysis and cross‐sectional regressions, we find that the return predictive power of AQ overlaps with several other accounting signals. We also find that, similar to other accounting‐based anomalies, especially the accruals anomaly, the AQ pricing effect (i) is likely due to mispricing instead of risk pricing, (ii) is attenuated in recent years, and (iii) disappears among firms with cash flow forecasts or long‐term growth forecasts. Our findings highlight the importance of controlling for existing return predictive signals when evaluating the market pricing of AQ.

Using a hidden Markov model to measure earnings quality

Journal of Accounting and Economics 2020 69(2-3), 101281 open access
We propose and validate a new measure of earnings quality based on a hidden Markov model. This measure, termed earnings fidelity, captures how faithful earnings signals are in revealing the true economic state of the firm. We estimate the measure using a Markov chain Monte Carlo procedure in a Bayesian hierarchical framework that accommodates cross-sectional heterogeneity. Earnings fidelity is positively associated with the forward earnings response coefficient. It significantly outperforms existing measures of quality in predicting two external indicators of low-quality accounting: restatements and Securities and Exchange Commission comment letters.