The spillover effects of a bright-line regulation: evidence from China

Purpose The purpose of this paper is to investigate the spillover effects of a bright-line disclosure regulation that required Chinese listed firms to provide earnings forecasts if they anticipated specified, large earnings changes. Design/methodology/approach The paper examines the discontinuity of the earnings change distribution of firms listed on the Shenzhen Stock Market between 2010 and 2014. The paper finds that firms no longer subject to the bright-line test still exhibited discontinuity in earnings change distribution. The discontinuity lasted for at least three years with magnitude comparable to that of the firms still subject to the bright-line test. In addition, newly listed firms that had never experienced the bright-line test showed similar tendency to avoid the same threshold. There is some evidence that these firms’ avoidance of the −50 per cent changes was partly because of market pressure. Research limitations/implications Research on bright-line tests has to date focused on their immediate and direct effects on firms currently subject to such tests. This study finds that a bright-line disclosure regulation’s influence is not limited to the firms directly governed by the regulation. It could lead to widespread and long lasting distortions in financial reporting behaviors of firms not currently subject to such tests. Practical implications The paper has implications for regulators who study the economic consequences of bright-line regulations in general and analysts of the Chinese capital market in particular. Originality/value This is the first empirical report that bright-line disclosure regulations affected the financial reporting behavior of firms that were not directly subject to the bright-line tests.

Do management earnings forecasts fully reflect information in past earnings changes?

Purpose It has been widely documented that investors and analysts underreact to information in past earnings changes, a fundamental performance indicator. The purpose of this paper is to examine whether managers’ voluntary disclosure efficiently incorporates information in past earnings changes, whether analysts recognize and fully anticipate the potential inefficiency in management forecasts and whether managers’ potential forecasting inefficiency entirely results from intentional disclosure strategies or at least partly reflects managers’ unintentional information processing biases. Design/methodology/approach Archival data were used to empirically test the relation between management earnings forecast errors and past earnings changes. Findings Results show that managers underreact to past earnings changes when projecting future earnings and analysts recognize, but fail to fully anticipate, the predictable bias associated with past earnings changes in management forecasts. Moreover, analysts appear to underreact more to past earnings changes when management forecasts exhibit greater underestimation of earnings change persistence. Further analyses suggest that the underestimation of earnings change persistence is at least partly attributable to managers’ unintentional information processing bias. Originality/value This study contributes to the voluntary disclosure literature by demonstrating the limitation in the informational value of management forecasts. The findings indicate that the effectiveness of voluntary disclosure in mitigating market mispricing is inherently limited by the inefficiency in management forecasts. This study can help market participants to better use management forecasts to form more accurate earnings expectations. Moreover, our evidence suggests a managerial information processing bias with respect to past earnings changes, which may affect managers' operational, investment or financing decisions.

Stock price crash risk and unexpected earnings thresholds

Purpose The purpose of this paper is to examine stock price crash risk (SPCR) as a function of meeting or missing three earnings thresholds – reporting a profit (earnings level), reporting an earnings increase (earnings change) and meeting analysts’ forecasts (earnings expectation). Design/methodology/approach The authors rely upon the research design of Herrmann et al. (2011) to identify the incremental impact of the earnings level and earnings change benchmarks on SPCR, after controlling for the effects of meeting or missing analysts’ expectations. Findings The authors find that meeting analysts’ expectations is negatively associated with SPCR, and this relationship strengthens with the magnitude of the unexpected earnings. However, the authors find little evidence of incremental threshold effects to suggest that earnings level and earnings change benchmarks are critical thresholds with respect to SPCR. Our results are robust after including a number of control variables. Originality/value This study contributes to the literature that investigates determinants of SPCR while simultaneously providing new evidence to conclusions that analysts’ earnings forecast is at the top of the earnings benchmark hierarchy.

Earnings benchmarks, earnings management and future stock performance of Chinese listed companies reporting under ASBE-IFRS

Purpose Prior literature has revealed three key earnings benchmarks: earnings level; earnings change; and analysts’ expectations. The purpose of this paper is twofold. First, the authors seek to establish which earnings benchmark induces the largest extent of earnings management. Second, the authors explore the implications of earnings management on firm future performance. Both of these purposes are investigated for Chinese listed companies during China’s IFRS/ISA reporting era. Design/methodology/approach The authors rely upon the unique regulations and incentives for Chinese listed companies in order to develop four testable hypotheses. Next, the authors employ both logistic and ordinary least squares regressions to test the hypotheses. Findings The results suggest that Chinese listed firms have the highest level of income increasing discretionary accruals around the earnings level benchmark, followed by the earnings change benchmark. The authors do not find any evidence of earnings management to beat analysts’ expectation. In addition, the authors find evidence that Chinese listed firms with relatively high level of earnings management and low earnings exhibit relatively weak future stock performance. Originality/value The findings are the first to document an earnings management benchmark hierarchy with respect to the extent of income increasing discretionary accruals, while simultaneously establishing a link between earnings management and firm future stock performance, for Chinese listed companies. The findings are valuable for regulators and investors by suggesting that management intervention in the reporting process during China’s IFRS/ISA reporting era may act to circumvent delisting regulations and cloud earnings signal for firms that beat certain earnings benchmarks.

Distinguishing Rational and Behavioral Models of Momentum

One of the many challenges facing financial economists is to distinguish the theories explaining momentum. Brav and Heaton (2002) show that it is very difficult to distinguish the "rational" models of structural uncertainty (SU) from "behavioral" models of conservatism (C). In this paper, I reexamine the SU model and the C model proposed by Brav and Heaton (2002) in explaining short-run momentum. Based on simulated data, I find that they differ from each other in the relation between agent's earnings forecast revision and the lagged earnings change. This relation is significantly negative for the SU model and significantly positive for the C model. Empirical evidence provides support for the SU model.

MBAR Models: A Test of ARIMAX Modelling

The main purpose of this paper is to provide evidence on some of the standard models of accounting earnings and returns relations mainly collected through the literature. Standard models such as earnings level and earnings changes, among others, have been investigated in this study. Models that correspond better to the data drawn from the Athens Stock Exchange have been selected. Models I, II, V, VII and IX have statistically significant coefficients of explanatory variables. In addition, model II with the MSE (minimum value of squared residuals) loss function in ARIMAX (2,0,2) is prevalent. Models that include prior earnings in various forms using levels, changes in price and changes in earnings, change in price to beginning price, lagged parameters and differentiated price models have statistically significant explanatory power.