The accrual anomaly: Australian evidence

This paper investigates whether there is evidence of the accrual anomaly ( Sloan, 1996 ) in Australia, whereby investors overestimate the impact of accruals on the persistence of earnings. While our results provide general support for the existence of the anomaly in Australia, there are a number of idiosyncrasies. First, there is evidence of Australian investors underestimating the persistence of earnings. Second, there is evidence of investors incorrectly assessing the implications of accruals and cash flows for the persistence of earnings (i.e. an accrual anomaly and a cash‐flow anomaly). Third, returns to a hedged portfolio trading strategy based on reported accruals are decreasing over the three‐year period subsequent to portfolio formation. Furthermore, they are statistically significant only in the first year. Additional analysis of the hedge portfolio results indicates that these results are primarily attributable to a limited number of firm‐year observations in the extreme positive tail of returns.     

Accruals,Investment, and Future Performance

It is well documented that accounting measures of investment, such as working capital and capital expenditures, negatively predict future stock returns. The earnings fixation hypothesis suggests that investors overestimate and overvalue the persistence of the accrual component of earnings. Another stream of the literature argues that since accruals capture growth, the accruals anomaly can be explained by the investment anomaly, which finds that firms that grow their assets tend to have lower future returns. As empirical proxies for accruals and investment are either positively correlated or interchangeably used, it is difficult to distinguish between the competing hypotheses in empirical tests. This study contributes to the debate by identifying two special economic settings in which the two explanations offer diverging predictions. First, investment in research and development (R&D) represents an investment expenditure that reduces earnings but is not subject to accrual accounting. Thus, the earnings fixation hypothesis predicts a positive relation between increases in R&D investments and future returns, whereas the investment anomaly predicts a negative relation. Second, firms operating with negative working capital have working capital accruals that are negatively correlated with other forms of investment and growth. Therefore, while the earnings fixation hypothesis still predicts a negative relation between accruals and future returns in this setting, the investment explanation predicts a positive relation. For both sets of tests, the empirical evidence supports the earnings fixation hypothesis for the accruals anomaly and is inconsistent with the notion that the investment anomaly subsumes earnings fixation in explaining future stock returns.     

SOME EVIDENCE THAT BANKS USE INTERNAL CAPITAL MARKETS TO LOWER CAPITAL COSTS

To the extent raising external capital is especially costly for banks (as the preceding article suggests), bank managers have incentives to manage their internal cash flow in ways that minimize their need to raise external equity. One way to accomplish this is to establish bank holding companies that set up internal capital markets for the purpose of allocating scarce capital across their various subsidiaries. By “internal capital market” the authors mean a capital budgeting process in which all the lending and investment opportunities of the different subsidiaries are ranked according to their risk-adjusted returns; and all internal capital available for investment is then allocated to the highestranked opportunities until either the capital is exhausted or returns fall below the cost of capital, whichever comes first. As evidence of the operation of internal capital markets in bank holding companies, the authors report the following set of findings from their own recent studies:

• ? For large publicly traded bank holding companies, growth rates in lending are closely tied to the banks' internal cash flow and regulatory capital position.
• ? For the subsidiaries of bank holding companies, what matters most is the capital position and earnings of the holding companies and not of the subsidiaries themselves.
• ? The lending activity of banks affiliated with multiple bank holding companies appears to be less dependent on their own earnings and capital than the lending of unaffiliated banks.

The authors also report that, after being acquired, previously unaffiliated banks increase their lending in local markets. This finding suggests that, contrary to the concerns of critics of bank consolidation, geographic consolidation may make banks more responsive to local lending opportunities.     

The role of disaggregation of earnings in stock valuation and earnings forecasting

This paper compares and contrasts two accounting information systems, the aggregate earnings system and the disaggregated cash flow/accrual system, examining their relative performance in stock valuation and in forecasting of earnings. It finds, in general, that the forecasts of earnings and predicted market values from the cash flow and accrual system have smaller forecasting errors than those from the aggregate earnings system. The adjusted R-squareds from the disaggregated system are in the main higher than those from the aggregated system when considering the explanatory power of the model-predicted values. The results also show that the cash flow and accrual system forecasts dominate the aggregate earnings system forecasts in a large majority of industries.     

Further evidence on analyst and investor misweighting of prior period cash flows and accruals

We empirically investigate three questions: (i) whether analysts and investors mis-estimate the persistence of operating cash flows, (ii) if so, is the cash flow effect distinct from the accrual effect in the sense that one effect holds after controlling for the other, and (iii) if these are distinct effects, which effect is stronger in magnitude? We find that prior period operating cash flows have a significant positive effect on forecast errors and stock returns consistent with analysts and investors underestimating the persistence of operating cash flows. Further, we find that not only is the operating cash flow effect distinct from the accrual (more specifically the working capital accrual) effect but it is also considerably larger in magnitude. To our knowledge, this is the first study that documents the relative magnitude of prior period cash flow and working capital accrual effects on forecast errors and stock returns. Our findings have several implications for future research and practice. First, the consistency of results across the two sets of users (analysts and investors) suggests that analyst-forecast inefficiencies are less likely to be driven by their incentives to promote stocks and more likely to be a manifestation of a broader phenomenon that has not been thoroughly investigated in prior studies. Second, for practitioners, our results suggest that a trading strategy based on prior period working capital accruals and cash flows would earn higher abnormal returns than a trading strategy based on accruals alone.     

The Sophisticated and the Simple: the Profitability of Contrarian Strategies

A variety of variables have been used to form contrarian portfolios, ranging from relatively simple measures, like book‐to‐market, cash flow‐to‐price, earnings‐to‐price and past returns, to more sophisticated measures based on the Ohlson model and residual income model (RIM). This paper investigates whether: (i) contrarian strategies based on RIM perform better or worse than those based on the Ohlson model; (ii) contrarian strategies based on more sophisticated valuation models (e.g. Ohlson and RIM) perform much better than the relatively simpler ranking variables that have been used so extensively in the finance literature. Given that the RIM and Ohlson models require greater information inputs and technical know‐how, and make different implicit assumptions on future abnormal earnings, it is important to ascertain if they offer significantly greater contrarian profits to outweigh the increased costs that they entail. Indeed, our surprising finding is that simple cash flow‐to‐price measures appear to do almost as well as the more sophisticated alternatives. One would have expected the sophisticated models to significantly outperform the simple cash flow to price model for the reasons given by Penman (2007) .     

What Drives Anomaly Returns?

We decompose the returns of five well-known anomalies into cash flow and discount rate news. Common patterns emerge across the five factor portfolios and their mean-variance efficient (MVE) combination. Whereas discount rate news predominates in market returns, systematic cash flow news drives the returns of anomaly portfolios and their MVE combination with the market portfolio. Anomaly cash flow and discount rate shocks are largely uncorrelated with market cash flow and discount rate shocks and with business cycle fluctuations. These rich empirical patterns restrict the joint dynamics of firm cash flows and the pricing kernel, thereby informing models of stocks' expected returns.     

Neural network copula portfolio optimization for exchange traded funds

This paper attempts to investigate if adopting accurate forecasts from Neural Network (NN) models can lead to statistical and economically significant benefits in portfolio management decisions. In order to achieve that, three NNs, namely the Multi-Layer Perceptron, Recurrent Neural Network and the Psi Sigma Network (PSN), are applied to the task of forecasting the daily returns of three Exchange Traded Funds (ETFs). The statistical and trading performance of the NNs is benchmarked with the traditional Autoregressive Moving Average models. Next, a novel dynamic asymmetric copula model (NNC) is introduced in order to capture the dependence structure across ETF returns. Based on the above, weekly re-balanced portfolios are obtained and compared using the traditional mean–variance and the mean–CVaR portfolio optimization approach. In terms of the results, PSN outperforms all models in statistical and trading terms. Additionally, the asymmetric skewed t copula statistically outperforms symmetric copulas when it comes to modelling ETF returns dependence. The proposed NNC model leads to significant improvements in the portfolio optimization process, while forecasting covariance accounting for asymmetric dependence between the ETFs also improves the performance of obtained portfolios.     

How do accounting variables explain stock price movements? Theory and evidence

This paper provides theory and evidence showing how accounting variables explain cross-sectional stock returns. Based on Zhang, G. [2000. Accounting information, capital investment decisions, and equity valuation: theory and empirical implications. Journal of Accounting Research 38, 271–295], who relates equity value to accounting measures of underlying operations, we derive returns as a function of earnings yield, equity capital investment, and changes in profitability, growth opportunities, and discount rates. Empirical results confirm the predicted roles of all identified factors. The model explains about 20% of the cross-sectional return variation, with cash-flow-related factors (as opposed to changes in discount rates) accounting for most of the explanatory power. The properties of the model are robust across various subsamples and periods.     

Effects of early bond refundings: An empirical investigation of security returns

This paper examines bond-for-bond refundings and their effects on stock returns. Refundings can affect the reported income, cash flows (including taxes), dividend constraints and financial ratios of firms. For a sample of 36 NYSE and ASE firms that performed refundings between 1971 and 1980, stock returns were significantly higher than predicted (only) around the release of the quarterly earnings announcement that included the refunding's effects. While the refundings were found to have many characteristics that were hypothesized to benefit shareholders, only the change in earnings per share was found to be associated with the prediction errors. Further, there appears to be no refunding-related information released in the quarterly earnings announcement, except for the refunding gain. These results imply that a portfolio of refunding firms can be created in advance of the quarterly earnings announcement that will generate abnormal returns around the earnings announcement. Because trading rules are inconsistent with the concept of an efficient capital market, these results constitute an anomaly.     

A Better Way to Measure Operating Performance (or Why the EVA Math Really Matters)

Most companies rely heavily on earnings to measure operating performance, but earnings growth has at least two important weaknesses as a proxy for investor wealth. Current earnings can come at the expense of future earnings through, for example, short‐sighted cutbacks in investment, including spending on R&D. But growth in EPS can also be achieved by investing more capital with projected rates of return that, although well below the cost of capital, are higher than the after‐tax cost of debt. Stock compensation has been the conventional solution to the first problem because it's a discounted cash flow value that is assumed to discourage actions that sacrifice future earnings. Economic profit—in its most popular manifestation, EVA—has been the conventional solution to the second problem with earnings because it includes a capital charge that penalizes low‐return investment. But neither of these conventional solutions appears to work very well in practice. Stock compensation isn't tied to business unit performance—and often fails to provide the intended incentives for the (many) corporate managers who believe that meeting current consensus earnings is more important than investing to maintain future earnings. EVA doesn't work well when new investments take time to become profitable because the higher capital charge comes before the related income. In this article, the author presents two new operating performance measures that are likely to work better than either earnings or EVA because they reflect the value that can be lost either through corporate underinvestment or overinvestment designed to increase current earnings. Both of these new measures are based on the math that ties EVA to discounted cash flow value, particularly its division of current corporate market values into two components: “current operations value” and “future growth value.” The key to the effectiveness of the new measures in explaining changes in company stock prices and market values is a statistical model of changes in future growth value that captures the expected effects of significant increases in current investment in R&D and advertising on future profits and value.     

Cash Flow, Consumption Risk, and the Cross-section of Stock Returns

I link an asset's risk premium to two characteristics of its underlying cash flow: covariance and duration. Using empirically novel estimates of both cash flow characteristics based exclusively on accounting earnings and aggregate consumption data, I examine their dynamic interaction in a two-factor cash flow model and find that they are able to explain up to 82% of the cross-sectional variation in the average returns on size, book-to-market, and long-term reversal-sorted portfolios for the period 1964 to 2002. This finding highlights the importance of fundamental cash flow characteristics in determining the risk exposure of an asset.     

Cash, investments and asset returns

We use an investment-based asset pricing model to examine the effect of firms’ investments relative to cash holdings on stock returns, assuming holding cash lowers transaction costs. We find that mimicking portfolios based on investments relative to non-cash capital and based on investments relative to cash capital are priced for various testing portfolios. On average, momentum stocks and growth stocks are more sensitive to the factor constructed using investment relative to cash.     

Investment and financing constraints in China: Does working capital management make a difference?

We use a panel of over 116,000 Chinese firms of different ownership types over the period 2000–2007 to analyze the linkages between investment in fixed and working capital and financing constraints. We find that those firms characterized by high working capital display high sensitivities of investment in working capital to cash flow (WKS) and low sensitivities of investment in fixed capital to cash flow (FKS). We then construct and analyze firm-level FKS and WKS measures and find that, despite severe external financing constraints, those firms with low FKS and high WKS exhibit the highest fixed investment rates. This suggests that an active management of working capital may help firms to alleviate the effects of financing constraints on fixed investment.     

Using earnings forecasts to simultaneously estimate firm-specific cost of equity and long-term growth

A growing body of literature in accounting and finance relies on implied cost of equity (COE) measures. Such measures are sensitive to assumptions about terminal earnings growth rates. In this paper we develop a new COE measure that is more accurate than existing measures because it incorporates endogenously estimated long-term growth in earnings. Our method extends Easton et al. (J Account Res, 40, 657–676, 2002) method of simultaneously estimating sample average COE and growth. Our method delivers COE (growth) estimates that are significantly positively associated with future realized stock returns (future realized earnings growth). Moreover, the predictive ability of our COE measure subsumes that of other commonly used COE measures and is incremental to commonly used risk characteristics. Our implied growth measure fills the void in the earnings forecasting literature by robustly predicting earnings growth beyond the five-year horizon.     

Drivers of Shareholder Returns in Tech Industries (or How to Make Sense of Amazon's Market Value)

Earnings according to GAAP do a notoriously poor job of explaining the current values of the most successful high‐tech companies, which in recent years have experienced remarkable growth in revenues and market capitalizations. But if GAAP earnings fail to account for the values of such companies, are there other measures that do better? The authors address this question in two main ways. They begin by summarizing the findings of their recent study of both the operating and the stock‐market performance of 169 publicly traded tech companies (with market caps of at least $1 billion). The aim of the study was to identify which of the many indicators of corporate operating performance—including growth in revenues, EBITDA margins, and returns on equity—have had the strongest correlation with shareholder returns over a relatively long period of time. The study's main conclusion is that investors appear to be looking for signs of neither growth nor efficiency in using capital alone, but for an optimal mix or balancing of those goals. And that mix, as the study also suggests, is captured in a cash‐flow‐based variant of “residual income” the authors call “residual cash earnings,” or RCE. In the second part of their article, the authors show how and why RCE does a much better job than reported net income or EPS of explaining the current market value of Amazon.com , one of the best‐performing tech companies in the world. Mainly by treating R&D spending as an investment of capital rather than an expense, RCE reveals the value of a company that is distinguished by both the amount and the productivity of its ongoing investment—both of which have been obscured by GAAP.     

The Information Content of Cash Flow Figures

This paper investigates the link between earnings and share prices for a sample of UK companies for the years 1961 to 1977. Three measures of earnings were used: the traditional historical cost accounting return and two which were closer to cash flow measures. The strength of the link between earnings and cumulative abnormal returns was investigated relative to the level of inflation. The results indicate that, while there is substantial information content in the traditional historical cost rate of return, there is very little information conveyed by the measure closest to pure cash flow. No support was therefore found for the use of cash flow based reports. Evidence was found showing substantial changes in the nature of the relationship between accounting and stock returns, but this could not be explained by the effects of inflation.     

Corporate bond returns and the financial crisis

We examine effects of government actions and related accounting policies on the corporate bond market implied by changes in relations between aggregate bond returns and cash flow and discount rate news. We capture the influence of risk by partitioning bonds into investment and speculative grades. We use earnings changes as a proxy for cash flow news and T-Bill rate changes as a proxy for discount rate news. As expected, during non-crisis periods, we observe a positive relation between earnings changes and bond returns and a negative relation for T-Bill rate changes. A combination of government bailouts of large financial institutions and mark-to-market accounting preserves the positive relation for earnings changes during the crisis for investment grade bonds, while absence of these factors leads to an insignificant relation for speculative grade. Intervention by the Federal Reserve to induce lower interest rates as earnings were declining, a flight to safety shifting demand from corporate bonds to T-Bills, and low cost funds invested in risk free investments explain a reversal of the relation between bond returns and T-Bill rate changes for both grades.     

A text book treatment of calculating returns on non-traditional portfolios

This paper addresses a gap in traditional portfolio literature by providing techniques for identifying returns on non-traditional portfolios.Futures contracts require daily cash flows over the holding period; these cash flows determine the rate of return. The security deposit represents a tied investment since the funds are not available for other uses and do not earn a risk adjusted return. To initiate a short option or a short stock position also requires a cash outflow. The cash outflow or equity deposit effectively constitutes an investment since the trader postpones consumption in a risky medium that does not guarantee the return of the funds.By identifying the amount of the investment and rates of returns, it is possible to extend normative investment analysis to non-traditional portfolio holdings. This paper introduces four propositions to aid in this process.