Forecasts in IPO Prospectuses: The Effect of Corporate Governance on Earnings Management

Prior research suggests that managers may use earnings management to meet voluntary earnings forecasts. We document the extent of earnings management undertaken within Canadian Initial Public Offerings (IPOs) and study the extent to which companies with better corporate governance systems are less likely to use earnings management to achieve their earnings forecasts. In addition, we test other factors that differentiate forecasting from non‐forecasting firms, and assess the impact of forecasting and corporate governance on future cash flow prediction. We find that firms with better corporate governance are less likely to include a voluntary earnings forecast in their IPO prospectus. In addition, we find that while IPO firms use accruals management to meet forecasts; the informativeness of the discretionary accruals depends on whether or not the firm would have missed its forecast without the use of discretionary accruals.     

Analysts’ accrual-related over-optimism: do analyst characteristics play a role?

Bradshaw et al. (J Acc Res 39:45–74, 2001) find that analyst forecast over-optimism is greater for firms with high accruals. This “accrual-related over-optimism” is generally interpreted as evidence that analyst forecasts do not fully incorporate predictable earnings reversals associated with high accruals. We investigate whether analyst experience, access to resources (brokerage size), and portfolio complexity moderate the relation between over-optimistic forecasts and high accruals. We demonstrate the robustness of accrual-related over-optimism to controls for cash flow and prior forecast errors. We find that accrual-related over-optimism is lower for analysts with greater general experience and for analysts following fewer firms but find only limited evidence of lower accrual-related over-optimism for analysts from larger brokerages and for analysts following fewer industries.     

The joint information role of analysts’ cash flow and earnings forecasts

We study whether the relative magnitudes of analysts’ cash flow and earnings forecasts convey information about the persistence and value relevance of reported earnings. We find that reported earnings are likely to be more (less) persistent and value relevant when analysts forecast relatively moderate (extreme) levels of operating cash flows, relative to earnings. We also find that the market’s response to a given earnings surprise is the strongest for moderate levels of cash flow forecasts relative to earnings. The joint information role of analysts’ cash flow and earnings forecasts persists even after controlling for the absolute accruals in the model.     

Are analysts’ earnings forecasts more accurate when accompanied by cash flow forecasts?

We examine whether analysts’ earnings forecasts are more accurate when they also issue cash flow forecasts. We find that (i) analysts’ earnings forecasts issued together with cash flow forecasts are more accurate than those not accompanied by cash flow forecasts, and (ii) analysts’ earnings forecasts reflect a better understanding of the implications of current earnings for future earnings when they are accompanied by cash flow forecasts. These results are consistent with analysts adopting a more structured and disciplined approach to forecasting earnings when they also issue cash flow forecasts. Finally, we find that more accurate cash flow forecasts decrease the likelihood of analysts being fired, suggesting that cash flow forecast accuracy is relevant to analysts’ career outcomes.     

Accruals quality and analyst coverage

We provide evidence that analyst coverage increases as accruals quality decreases. This finding is consistent with the services of financial analysts becoming more valuable and in greater demand as accruals provide weaker signals about future cash flows. Further, it is accruals quality associated with innate uncertainty in the firm’s operating environment that attracts analysts even after controlling for operating uncertainty associated with cash flow and stock return volatility. This suggests that low quality accruals provide an opportunity for analysts to benefit from generating private information. Consistent with analysts providing compensating information, we find that forecasts for firms with lower accruals quality contain more private information.     

The effect of cash flow forecasts on accrual quality and benchmark beating

When analysts provide forecasts of both earnings and operating cash flow, they also implicitly provide a forecast of total operating accruals. We posit that this increases the transparency and the expected costs of accrual manipulations used to manage earnings. As a consequence, we predict and find that accrual quality improves and firms’ propensity to meet or beat earnings benchmarks declines following the provision of cash flow forecasts. We also predict and find that firms turn to other benchmark-beating mechanisms, such as real activities manipulation and earnings guidance in response to the provision of cash flow forecasts.     

Analyst cash flow forecasts and pricing of accruals

This paper investigates how analyst cash flow forecasts affect investors' valuation of accounting accruals. We find that the strength of the accrual anomaly documented in Sloan (1996) is weaker for firms with analyst cash flow forecasts, after controlling for idiosyncratic risk, transaction costs and firm characteristics associated with the issuance of cash flow forecasts. We further show that this reduction in mispricing of accounting accruals is at least partially attributed to the improved ability of investors to price earnings manipulations imbedded in accruals. We investigate several non-mutually exclusive alternative explanations for this improvement in investors' ability and demonstrate that the increased investor attention and the improved accuracy of analyst earnings forecasts both contribute to the mitigation of the accrual anomaly.     

Martingales and efficient forecasts of effective mortgage rates

Economic theory and empirical evidence indicate that the optimal near-term forecast of a long-term rate is (approximately) today's rate; the no-change model should provide excellent near-term forecasts of a long-term rate. This article estimates the longest forecast horizon over which no-change predictions of each of three mortgage-related interest rates pass a series of quality tests. The empirical results reject the optimality of no-change predictions of the one-year Treasury bill rate for all forecast horizons. Since October 1979, the tests support the hypothesis that no-change predictions of the 30-year conventional home mortgage and GNMA rates are optimal for forecast horizons of up to three-quarters-ahead.     

To beat or not to beat? The importance of analysts’ cash flow forecasts

We investigate the implications of firms’ benchmark-beating patterns with respect to analysts’ quarterly cash flow forecasts for firms’ current capital market valuation and their future performance. We hypothesize that nonnegative earnings surprises are more likely to be supported by real operating performance and signal higher earnings quality if they are achieved via higher than expected cash flows or lower than expected accruals. We show that firms beating analyst earnings forecasts have larger positive capital market reactions and larger earnings response coefficients if they beat analyst cash flow forecasts or report lower than expected accruals. We also demonstrate that these firms’ superior future performance may provide an economic justification for their more favorable market response. Our findings suggest that firms’ ability to beat analyst cash flow forecasts is informative regarding the quality of their earnings surprises.     

Auditor quality effects on the relationship between accruals,cash flows and equity returns: a variance decomposition analysis

In this paper, we examine the relative importance of the cash flow and accruals components of earnings in explaining the variation in UK company equity returns, together with the extent to which these relationships vary by auditor quality. We use a multivariate time-series approach that can be reconciled to a log-linear theoretical valuation model and, unlike the standard linear regression of returns on earnings components, accommodates time-varying discount rates. Based on a decomposition of the variance of equity returns, cash flows and accruals, our results indicate that both cash flow news and accruals news are important drivers of UK equity returns, although cash flows are more influential than accruals. We also find that variation in both earnings components has a more significant effect on returns for clients of large auditors. Finally, our results provide mixed evidence on the question of whether the impact of auditor quality is highest for the accruals component of earnings.     

CEO incentives and earnings prediction

This study investigates whether information about Chief Executive Officer (CEO) incentives is useful for predicting future earnings. We find that in companies with higher CEO equity incentives, current year earnings are more informative of future earnings than in other companies. Additionally, in an earnings prediction setting, CEO incentives are shown to provide information about future earnings that is incremental to current earnings or earnings components. The predictive power of CEO incentives for future earnings is robust to the inclusion of other predictors of future earnings. Furthermore, we find that CEO incentives are predictive of “real” future earnings, as represented by operating cash flow and non-discretionary accruals, but not predictive of future discretionary accruals. Finally, we find that financial analysts do not incorporate information about CEO incentives when they forecast future earnings. This result suggests that incorporating CEO incentives can potentially improve analyst forecasts of future earnings.     

Informed arbitrage with speculative noise trading

We consider speculative noise trading when some naïve speculators trade on noise as if it were information [Black, F., 1986. Noise. Journal of Finance 41, 529–543]. We examine the optimal trading strategy of an informed investor who faces such naïve speculators in the market. We find that the informed investor trades aggressively on her information and takes large, opposite positions against the naïve speculators. The trading volume is thereby drastically magnified. While such speculative noise trading enhances liquidity, it makes prices less efficient. The overall dynamic patterns that emerge from our model are most consistent with the evidence for interday variations in volume, volatility, and transaction costs.     

TRADITIONAL VERSUS OPERATING CASH FLOW IN FAILURE PREDICTION

Prior empirical evidence shows that accrual and cash based flow ratios (traditional and operating cash flows) refer to different financial dimensions. This leads to different predictive abilities in failure prediction. The purpose of this study is to analyse the behaviour of failing and nonfailing firms in terms of accruals and deferrals (adjustment entries) to show the distinctive nature of the ratios. This analysis is made conceptually and empirically. The degree and order of the use of adjustment entries is presupposed to depend on four kinds of factors (revenue of expenditure adjustment, direction of adjustment, cost of adjustment, and maximum size of adjustment). The empirical results show that traditional cash flow is a more stable and reliable predictor of failure than operating cash flow. The most important adjustment entries used by failing firms were to decrease inventories and accounts receivable and, in the last phase, to increase accounts payable.     

Processes and Accuracy of Cash Flow Forecasting: A Case Study of a Multinational Corporation

Despite its pivotal importance in enterprise management, cash flow forecasting gets little attention from academics perhaps because few of them have access to internal processes and data. In this article, however, the authors explain how cash flow forecasting is organized at Bayer, a large multinational company headquartered in Germany, and which factors influence the accuracy of its forecasts. The research focuses on cash flow forecasts based on the direct method, prepared three times a yearat Bayer, involving about 62,000 individual forecasting items each time. These forecasts form the basis of the company's liquidity and financial risk management, in particular, its foreign exchange risk hedging. The authors explain how local managers in Bayer's entities across the world derive the forecasts, i.e., what information they use as input, how they validate it, and how they deal with potential bias caused by managerial incentive systems. They also analyze whether forecasting processes are affected by characteristics such as business area, size, region, or specific local conditions, and ultimately whether forecasting practices and entity characteristics affect forecast accuracy. The findings show that cash flow forecasting procedures vary substantially across Bayer. While the central finance department gives general guidance on the required cash flow forecasting output and provides direction on the input to be used, there are no detailed instructions on how forecasts are to be prepared. Instead, local managers are free to determine their own forecasting practices. They use different forecasting inputs and validate forecasting inputs and output with different intensities, and they also differ in how they treat possible biases in input data. These findings document the limits of standardization and central control in large multinational corporations resulting from local managers’ need for flexibility to cope with the heterogeneity and dynamism of their environments. At the same time, however, local differentiation increases complexity and may increase errors. Quantitative analysis of forecasting errors shows that forecasts of receipts from customers (cash inflows) are more accurate than forecasts of payments to suppliers (cash outflows). Moreover, forecasting practices affect forecast accuracy. Outflow forecasts are more accurate if managers intensively validate forecasting input; inflow forecasts, if they eliminate input biases that may result from internal target setting or from other managerial incentives, and if they carefully validate their forecasting output. The study provides several insights.

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Do Analysts Disclose Cash Flow Forecasts with Earnings Estimates when Earnings Quality is Low?

Cash flows are incrementally useful to earnings in security valuation mainly when earnings quality is low. This suggests that when earnings quality decreases, analysts will be more likely to supplement their earnings forecasts with cash flow estimates. Contrary to this prediction, we find that analysts do not disclose cash flow forecasts when the quality of earnings is low. This is because cash flow forecast accuracy depends on the accuracy of the accrual estimates and the precision of accrual forecasts decreases for firms with low quality earnings. Consequently, as earnings quality decreases, cash flow forecasts become increasingly inaccurate compared to earnings estimates. Cash flow estimates that lack reliability are not useful to investors and, consequently, unlikely to be reported by analysts. This result provides an explanation for why analysts are less likely to report cash flow estimates when earnings quality is low.     

Out-of-sample cash flow prediction and cash distributions to shareholders

This study provides empirical evidence that net cash distributions to shareholders provide a noteworthy context for improving the out-of-sample prediction of cash flow. Dechow et al. (2008) suggest that net distributions to shareholders is an indicator for future cash flow, and the current study hypothesizes that the accuracy of out-of-sample forecasts increases with the magnitude of the shareholder distributions. The empirical results are consistent with this hypothesis for one-year-ahead forecasts, and the results are robust to controls for firm size. Moreover, the results indicate that the distributions to shareholders effect largely subsumes the firm size effect for forecasts of free cash flow, but not for operating cash flow. This suggests that firm size is a proxy for operating stability but not investing stability. Overall, the study provides a practical context for analysts, creditors and others to consider when generating cash flow forecasts.     

Why Do Managers Voluntarily Issue Cash Flow Forecasts?

We study a relatively recent change in voluntary disclosure practices by management, namely, the issuance of cash flow forecasts. We predict and find that management issues cash flow forecasts to signal good news in cash flow, to meet investor demand for cash flow information, and to precommit to a certain composition of earnings in terms of cash flow versus accruals, thus reducing the degree of freedom in earnings management. Our results also suggest that management discloses good news in cash flow to mitigate the negative impact of bad news in earnings, to lend credibility to good news in earnings, and to signal economic viability when the firm is young. Our finding that management cash flow forecasts primarily convey good news is in contrast to the generally negative nature of management earnings guidance and suggests that different incentives drive firms' disclosure of different financial information.     

Initial public offering prospectus forecast errors and mandatory explanations: evidence from New Zealand

This paper examines management forecast errors in initial public offering (IPO) prospectuses of New Zealand firms and subsequent management explanations for earnings forecast errors in recent years. New Zealand has several unique features and recent changes that are worthy of research, including the requirement for management to make forecasts; a requirement to explain differences between forecast and actual; and a recent change that provides the voluntary opportunity to obtain a negative assurance opinion on forecasts. Using hand-collected IPO data between 1998 and 2014, we find that firms that include a negative assurance opinion on the prospective financial information in the prospectus have more accurate earnings and cash flow forecasts. We investigate the subsequent explanations for forecast errors, which are mandated by a financial reporting standard. We show that management tends to attribute negative and large forecast errors to external causes rather than their own actions. Our findings have implications for regulators and investors in New Zealand and other settings.     

The impact of meeting or beating analysts' operating cash flow forecasts on a firm's cost of debt

Extant literature provides conflicting results with respect to the usefulness and accuracy of analysts' operating cash flow forecasts. Our study empirically examines the importance and influence of meeting or beating analysts' operating cash flow forecasts on a firm's cost of debt. Results indicate that firms meeting/beating analysts' cash flow forecasts have higher initial bond ratings as well as lower initial bond yields. Additionally, based upon an analysis of rating changes, firms meeting or beating cash flow forecasts have a higher probability of receiving a debt rating upgrade and a lower probability of a ratings downgrade compared to firms missing cash flow forecasts. A direct comparison of the importance of meeting/beating cash flow versus earnings benchmarks indicates that debt market participants appear to incrementally value both types of forecasts, and contrary to selected equity market findings, neither forecast subsumes the other for debt market participants.     

Discussion of “Are earnings forecasts more accurate when accompanied by cash flow forecasts?”

Call et al. (Rev Account Stud 2009, this issue) demonstrate that, relative to analysts who issue earnings but not cash flow forecasts, analysts who issue both forecasts (i) produce relatively more accurate earnings forecasts, (ii) have a better understanding of the persistence of current earnings, and (iii) are less likely to get fired. In my discussion, I highlight some general challenges facing research on analyst cash flow forecasts, demonstrate the diminishing difference in the relative accuracy over time (including its compete elimination by 2004), and examine the sensitivity of some of the evidence in Call et al. (2009) to the age of the forecast and to the presence of extreme bad-news earnings surprises.