Types of investor uncertainty and the cost of equity capital

We jointly test the effects of two types of investor uncertainty, one related to future firm performance and unrelated to accruals (cash flow uncertainty) and one directly related to accrual estimation errors (accounting quality uncertainty). Distinct from prior studies, our uncertainty estimates are based on a matched‐firm design that minimizes the mechanical relationship between the two uncertainty variables. We find a strong negative relationship between cash flow uncertainty and multiple estimates of the cost of equity capital. With respect to accounting quality uncertainty, we find a strong positive association with both expected stock returns and implied costs of equity, but only in settings that control for cash flow uncertainty. Collectively, our results suggest the need to consider different types of investor uncertainty when examining how investor uncertainty affects the cost of equity capital.     

The usefulness of operating cash flow and accrual components in improving the predictive ability of earnings: a re‐examination and extension

We examine whether the components of accruals and operating cash flows improve the predictive ability of earnings for forecasting future cash flows. Unlike most previous studies, we avoid data estimation errors and sample self‐selection bias because we exploit data from Australia where reporting of actual cash flow components had been mandatory since 1992. We show that accrual components and operating cash flow components together are more useful than (i) earnings, (ii) operating cash flows and total accruals and (iii) the combination of operating cash flows with accrual components in forecasting future cash flows. These results are robust to several contextual factors, including the length of the operating cash cycle, industry membership, firm profitability and firm size.     

Valuation in Emerging Markets: A Simulation Approach

Most of the foundations of valuation theory have been designed for use in developed markets. Because of the greater, and in some cases different, risks associated with emerging markets (although recent experience might suggest otherwise), investors and corporate managers are often uncomfortable using traditional methods. The typical way of capturing emerging-market risks is to increase the discount rate in the standard valuation model. But, as the authors argue, such adjustments have the effect of undermining some of the basic assumptions of the CAPM-based discounted cash flow model. The standard theory of capital budgeting suggests that estimates of unconditional expected cash flows should be discounted at CAPM discount rates (or betas) that reflect only “systematic,” or “nondiversifiable,” market-wide risks. In practice, however, analysts tend to take what are really estimates of “conditional” expected cash flows—that is, conditional on the firm or its country avoiding a crisis—and discount them at higher rates that reflect not only systematic risks, but diversifiable risks that typically involve a higher probability of crisis-driven costs of default. But there is almost no basis in theory for the size of the increases in discount rates. In this article, the authors propose that analysts in emerging markets avoid this discount rate problem by using simulation techniques to capture emerging-market risks in their estimates of unconditional expected cash flows—in other words, estimates that directly incorporate the possibility of an emerging-market crisis and its consequences. Having produced such estimates, analysts can then discount them using the standard Global CAPM.     

Two Different Ways of Treating Corporate Cash in FCF Valuations—and the Importance of Getting the Cost of Capital Right

The methods for calculating free cash flow presented in texts on financial statement analysis and valuation appear to be very different from those in corporate finance texts, causing some confusion among academics as well as practitioners. Financial statement analysis and valuation texts generally begin by valuing just the enterprise operations—that is, the entity that engages in the firm's primary revenue‐generating activities—and then adding back the value of its cash holdings and other financial assets. The corporate finance approach is typically to value all the assets together, including financial assets that are not used in the production of the goods and services provided by the firm. Using a simple example, the authors show that the valuation of the equity ownership of the firm should be the same for both methods of calculating free cash flow, provided the analyst makes the appropriate adjustments to the method for calculating the cost of capital (WACC) used to discount forecasted free cash flows to a present value.     

Prediction of Operating Cash Flows: Further Evidence from Australia

This paper examines empirically the relative abilities of current operating cash flows (hereafter OCF) and earnings in predicting future operating cash flows in Australia. It extends prior Australian research on cash flow prediction ( Percy and Stokes 1992 ; Clinch, Sidhu and Sing 2002 ; Farshadfar, Ng and Brimble 2009 ) by examining future cash flow predictions for one‐, two‐ and three‐year‐ahead forecast horizons; incorporating additional contextual variables likely to affect the predictive association between current cash flows or earnings and future cash flows; and comparing cross‐sectional versus time series‐based prediction models to ascertain the relative superiority of one approach over the other. Regression results reveal that the cash flow‐based models are more accurate in predicting future operating cash flows than earnings‐based models. This result, however, is moderated by firm‐specific contextual factors like firm size, negative versus positive cash flow pattern, cash flow variability and firm operating cycle. Finally, a comparison between cross‐sectional and time series approaches reveals that the cross‐sectional model outperforms the time series model for both the operating cash flows and earnings models in most of the forecast years.     

Capital Project Analysis When Cash Flows Evolve as a Continuous Time Branching Process

Optimal capital budgeting criteria now exist for a variety of applications when project cash flows (or present values) evolve in terms of the well-known geometric Brownian motion. However, relatively little is known about the capital budgeting procedures that ought to be implemented when cash flows are generated by stochastic processes other than the geometric Brownian motion. Given this, our purpose here is to develop optimal investment criteria for capital projects with cash flows that evolve in terms of a continuous time branching process. Branching processes are compatible with an empirical phenomenon known as 'volatility smile'. This occurs when there are systematic fluctuations in the implied volatility of a capital project's cash flows as the cash flow grows in magnitude. A number of studies have shown that this phenomenon characterizes the cash flow streams of the capital projects in which firms typically invest. We implement optimal capital budgeting procedures for both the continuous time branching process and the geometric Brownian motion using cost and revenue data for the Stuart oil shale project in central Queensland, Australia. This example shows that significant differences can arise between the optimal investment criteria for cash flows based on a branching process and those based on the geometric Brownian motion. This underscores the need for the geometric Brownian motion broadly to reflect the way a given capital project's cash flows actually evolve if serious errors in valuation and/or capital budgeting decisions are to be avoided.     

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.     

The Association Between Operating Cash Flows and Dividend Changes: An Empirical Investigation

The Association between earnings and dividend changes has been established since Lintner's (1956) pioneering work. Subsequent research attempted to establish an association between operating cash flows and dividend changes, given earnings, without success (Simons, 1994). Recently, there has been increased attention in cash flow reporting. Regulatory bodies worldwide have stressed the significance of cash flow information in capital markets. Research on the association between cash flows and dividends has been limited, yielding inconclusive results. The purpose of this study is to re-evaluate and extend prior studies by examining the incremental ability of cash flows to explain dividend changes, given earnings. We argue that a positive relationship between cash flows and dividend changes should exist due to liquidity and accruals management considerations. The empirical evidence of this study supports that the dividend changes-cash flow relationship is significantly positive (a) when operating cash flows are low compared to earnings, and (b) when firm growth is moderate.     

Cash Flow Risk Management in the Property/Liability Insurance Industry: A Dynamic Factor Modeling Approach

This study proposes and demonstrates a dynamic factor model that can be empirically carried out by the utilization of a factor-augmented autoregressive technique to explain and forecast the time-varying patterns of cash flows of insurance companies in the United States. A principal component approach is employed in the Factor-Augmented Autoregressive Model (FAARM) to capture the augmented factors that are to be utilized for forecasting. We describe the cash flow statistical model by a dimension-reduction technique that can depict the dynamic patterns of the cash flows of insurance firms and then measure the FAARM model. Results from the first step (principal component analysis) help capture the macroeconomic variables and the variables pertaining to insurance companies' cash flows, namely, cash flows from investment, underwriting, and risk management activities. Results from the second step offer evidence supporting that the FAARM improves the out-of-sample forecasting accuracy assessed by a forecasted root-mean-squared error (FRMSE). This article presents a set of feasible FAAR models from which an insurance firm can choose one that can be a better fit to the firm corresponding to its specific firm characteristics, such as firm size. Consequently, the chosen FAARM(s) can improve the accuracy of cash flow forecasting and thus can help insurers to manage risk via cash-flow–matching techniques.     

Removing predictable analyst forecast errors to improve implied cost of equity estimates

Prior research documents a weak association between the implied cost of equity inferred from analyst forecasts and realized returns. It points to predictable errors in analyst forecasts as a possible cause. We show that removing predictable errors from analyst forecasts leads to a much stronger association between implied cost of equity estimates obtained from adjusted forecasts and realized returns after controlling for cash flow news and discount rate news. An estimate of implied risk premium based on the average of four commonly used methods after making adjustments for predictable errors exhibits strong correlations with future realized returns as well as the lowest measurement error. Overall, our results confirm the validity of implied cost of equity estimates as measures of expected returns. Future research using implied cost of equity should remove predictable errors from implied cost of capital estimates and then average across multiple metrics.     

The effects of accounting restatements on firm growth

Do restatements result in lower firm growth? One argument in support of this contention is that accounting restatements hurt contracting relations between the firm and outside parties such as a firm’s customers and suppliers, negatively impacting firm cash flows. The negative impact on cash flow reduces the level of internal cash holdings available for investment. Another argument is that restatements dampen firm growth by increasing the firm’s cost of external financing. We empirically evaluate these arguments by using the standard sales growth based financial planning model. In carrying out our analysis, we distinguish the effects of restatement on overall firm growth as well as its components of internally and externally financed growth. Our findings suggest that overall firm growth rates decline following a restatement. Furthermore, we find that accounting restatements have a greater adverse impact on externally financed growth rates. We also find that not all restatements yield identical effects: the impact of restatements is more pronounced for the subsample of firms identified to have undertaken the more egregious fraudulent reporting than the subsample of firms that reported restatements to correct previous accounting errors. We also find that firms with severe restatements, measured based on announcement period market reactions, have lower externally financed growth. Overall, our evidence highlights the adverse impact of restatement on firm growth, particularly through external financing.     

Risk-adjusted discount rates and capital budgeting under uncertainty

This paper is concerned with the valuation of multiperiod cash flows in a world where prices are determined according to the Sharpe-Lintner-Black model of capital market equilibrium. We find that the current market value of any future net cash flow is the current expected value of the flow discounted at risk-adjusted discount rates for each of the periods until the flow is realized. The discount rates are known and non-stochastic, but the rates for the different periods preceding the realization of a cash flow need not to be the same, and the rates relevant for a given period can differ across cash flows. The risk adjustments in the discount rates arise because of uncertainties about reassessments through time of the expected value of a flow and the relationships between these reassessments and the corresponding reassessments of the expected cash flows of all firms.     

The Usefulness of Direct and Indirect Cash Flow Disclosures

We investigate the ability of disclosed operating cash flow and indirect accruals components to explain annual returns for a sample of Australian firms. Consistent with claims made by accounting standard setters, we find evidence of significant explanatory power for disclosed operating cash flow components beyond aggregate operating cash flows when they also have significant incremental predictive power for future (one year ahead) operating cash flows. Accrual components also have incremental explanatory power for returns. In addition, we find evidence of significant explanatory power for operating cash flow components beyond estimates of the components (based on other financial statement disclosures) for firms with large differences between disclosed and estimated components.     

An Empirical Examination of Cash Flow Measures

In recent years in the United States and Canada, there has been an increasing interest in cash flow reporting and a strengthening belief that information on cash flows is valued in the marketplace. However, little research has been devoted to the issue. Regulatory bodies in the U.S. (Financial Accounting Standards Board) and Canada(Canadian Institute of Chartered Accountants) require that an enterprise should disclose separately cash flows from operating, financing and investing activities in their cash flow statements. The data in the cash flow statements are expected to help investors assess the firm's liquidity, financial flexibility and risk. On the other hand, the British Accounting Standards Committee (ASC) does not require a statement of cash flows. This study employs a cross-sectional equity valuation model to examine the association of cash flows from operating, financing and investing activities with security prices. A sample of 403 U.S. firms is used for the ten-year period of 1976–85. The results of this study indicate that there exists a strong association between the various cash flow components included in the cash flow statements and the market value of the firm.     

Consolidating Corporate Control: Divisional Versus Whole-Company Leveraged Buyouts

We examine the empirical relation between firm characteristics and the likelihood of choosing a restructuring choice between two types of leveraged buyouts: a whole‐company leveraged buyout (WLBO) and a divisional leveraged buyout (DLBO). Our findings suggest that firm characteristics such as volatility of cash flow and growth potential play an important role in determining a firm's restructuring choice between a WLBO and a DLBO. In particular, firms with greater volatility of cash flow and/or greater future growth potential are more likely to adopt a DLBO than a WLBO as their restructuring choice. These results are consistent with the notion that although low‐growth, high‐cash‐flow firms would create the most value for stockholders by paying out cash and tying future cash flows to the firm's debt service through a WLBO, high‐growth, low‐cash‐flow firms would be better off by selling assets if those assets would be better managed under a DLBO.     

The Predictive Ability of Direct Method Cash Flow Information

This research examines the predictive ability of direct method cash flow information for firms that use the direct method in their cash flow statements. We use cross sectional and pooled time series regressions to predict operating cash flow data and assess relative predictive ability. Principal findings are: (1) past period direct method cash flow data predict future operating cash flow better than indirect method cash flow data; (2) past period direct method gross operating cash flows predict future net operating cash flow better than past period net operating cash flow; (3) measurement error exists in estimates of direct method operating cash flows from other financial statement data; (4) past operating cash flows predict future operating cash flows better than earnings and accruals.     

Real and Financial Industry Booms and Busts

We examine how product market competition affects firm cash flows and stock returns in industry booms and busts. Our results show how real and financial factors interact in industry business cycles. In competitive industries, we find that high industry-level stock market valuation, investment, and financing are followed by sharply lower operating cash flows and abnormal stock returns. Analyst estimates are positively biased and returns comove more. In concentrated industries these relations are weak and generally insignificant. Our results are consistent with participants in competitive industries not fully internalizing the negative externality of industry competition on cash flows and stock returns.     

The Valuation of Cash Flow Forecasts: An Empirical Analysis

This article compares the market value of highly leveraged transactions (HLTs) to the discounted value of their corresponding cash flow forecasts. For our sample of 51 HLTs completed between 1983 and 1989, the valuations of discounted cash flow forecasts are within 10 percent, on average, of the market values of the completed transactions. Our valuations perform at least as well as valuation methods using comparable companies and transactions. We also invert our analysis by estimating the risk premia implied by transaction values and forecast cash flows, and relating those risk premia to firm and industry betas, firm size, and firm book-to-market ratios.     

Asymmetric cash flow sensitivity of cash holdings

Almeida, Campello, and Weisbach (2004) and Riddick and Whited (2009) offer contrasting conclusions regarding the corporate cash flow sensitivity of cash. We use an augmented empirical model to affirm the conclusion in Riddick and Whited that the cash flow sensitivity of cash is generally negative. In addition, we contend that the cash flow sensitivity of cash is asymmetric to cash flow. The asymmetry may be due to several reasons, including binding project contracts, bad news withholding, and agency costs. Using a sample of manufacturing firms from 1972 to 2006, we document that the cash flow sensitivity of cash is negative when a firm faces a positive cash flow environment, supporting Riddick and Whited (2009), but the cash flow sensitivity of cash is positive when a firm faces negative cash flows. We further divide firms into financially constrained and unconstrained ones and find that the cash flow sensitivity of cash asymmetry continues to hold in both groups. When we use institutional holding as a control for the agency problem, we find that firms with better outside monitoring dissave to capture good investment opportunities. All the results support our hypotheses that firms have different levels of responses to their cash holdings when facing positive and negative cash flows.     

A note on a semiparametric approach to estimating financing constraints in firms

In this paper, we present a novel approach to modeling financing constraints of firms. Specifically, we adopt an approach in which firm-level investment is a nonparametric function of some relevant firm characteristics, cash flow in particular. This enables us to generate firm-year specific measures of cash flow sensitivity of investment. We are therefore able to draw conclusions about financing constraints of individual firms as well as cohorts of firms without having to split our sample on an ad hoc basis. This is a significant improvement over the stylized approach that is based on comparison of point estimates of cash flow sensitivity of investment of the average firm of ad hoc sub-samples of firms. We use firm-level data from India to highlight the advantages of our approach. Our results suggest that the estimates generated by this approach are meaningful from an economic point of view and are consistent with the literature.