Leading indicator variables and managerial incentives in a dynamic agency setting

This paper studies, in a dynamic agency setting, how incentives and contractual efficiency are affected by leading indicators of firms’ future financial performance. In our two-period model, a leading indicator variable provides a noisy forecast of the uncertain return from the manager’s long-term effort, and both contracting parties cannot refrain from renegotiating contract terms based on updated information. We find that the leading indicator can reduce the manager’s long-term effort incentive, as it allows the firm owner to capture more of the resulting return through renegotiated wages (i.e., the manager is held up). By reducing the uncertainty about future aggregate cash flows, the leading indicator also exacerbates the “ratchet” effect and discourages the manager’s short-term effort. In equilibrium, as the leading indicator becomes more accurate in forecasting future cash flows, the first-period contract attaches higher explicit weights to both the forward-looking leading indicator and backward-looking cash flow, and yet the manager may find it optimal to reduce both the short- and long-term efforts. We further show that with a more accurate leading indicator variable, the explicit incentive on the lagging cash flow may increase more than that on the leading indicator, and the equilibrium firm profit may decrease and diverge from the manager’s equilibrium efforts.     

The Equilibrium Valuation of Risky Discrete Cash Flows in Continuous Time

This paper values a contingent claim to discrete stochastic cash flows generated by a Poisson arrival process with a randomly varying intensity parameter. In the most general case, both the size and the arrival intensity of cash flows may correlate wih state variables in a continuous time economy. Assuming the conditions of an intertemporal capital aset pricing model, solutions for the value of the contingent claim can be found using various techniques. The paper suggests immediate applications to the valuation of insurance contracts, the decision to build a firm with unknown future investment opportunities, and the pricing of mortgage-backed securities.     

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.     

What do accruals tell us about future cash flows?

Our model, which is adapted from Feltham and Ohlson (Contemp Account Res 11:689–731, 1995) and Ohlson (Contemp Account Res 11:661–687, 1995) and extends Dechow and Dichev (Account Rev 77:35–59, 2002), characterizes the information about future cash flows reflected in accruals. It reveals investors can extract from accruals information about next period’s economic factor and the transitory part of one component of next period’s cash flow. The extent to which each accrual provides this information depends on whether the accrual aligns future or past cash flows and current period economics and whether it relates to the current or prior period. Thus each type of accrual has a different coefficient in valuation and forecasting cash flows or earnings. Each coefficient combines an information weight reflecting the information that accrual type provides and a multiple reflecting how that information is used in valuation and cash flow and earnings forecasting. The empirical evidence supports our main insight, namely that partitioning accruals based on their role in cash-flow alignment increases their ability to forecast future cash flows and earnings and explain firm value.     

THE ACCURACY OF CASH FLOW ESTIMATION PROCEDURES

Prior research uses mechanical procedures to estimate cash flow data. This study examines the accuracy of these procedures by measuring errors between estimated cash flows and reported cash flows. The results indicate that mechanical rules provide poor estimates for reported cash flows. We also show that the errors between cash flow estimates and reported cash flows can be reduced by adjustments made from footnote disclosures. However, large errors remain, even after adjustments are made from footnote disclosures. These remaining errors are correlated with firm specific characteristics such as sales (firm size), extraordinary items, foreign currency gains and losses, and changes in inventory.     

Managerial hedging,equity ownership,and firm value

Suppose risk‐averse managers can hedge the aggregate component of their exposure to firm's cash‐flow risk by trading in financial markets but cannot hedge their firm‐specific exposure. This gives them incentives to pass up firm‐specific projects in favor of standard projects that contain greater aggregate risk. Such forms of moral hazard give rise to excessive aggregate risk in stock markets. In this context, optimal managerial contracts induce a relationship between managerial ownership and (i) aggregate risk in the firm's cash flows, as well as (ii) firm value. We show that this can help explain the shape of the empirically documented relationship between ownership and firm performance.     

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.     

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.     

A theory of corporate financial decisions with liquidity and solvency concerns

This paper studies the impact of both liquidity and solvency concerns on corporate finance. I present a tractable model of a firm that optimally chooses capital structure, cash holdings, dividends, and default while facing cash flows with long-term uncertainty and short-term liquidity shocks. The model explains how changes in solvency affect liquidity and also how liquidity concerns affect solvency via capital structure choice. These interactions result in a dynamic cash policy in which cash reserves increase in profitability and are positively correlated with cash flows. The optimal dividend distributions implied by the model are smoothed relative to cash flows. I also find that liquidity concerns lead to a decrease of dispersion of credit spreads.     

Financing and the demand for corporate insurance

In this paper we examine the insurance decision of a firm with private information regarding its cash flows and insurable losses. We show that, even in the absence of bankruptcy costs and information production by insurers, the firm's attempts to hedge its information risk can induce it to demand insurance. If higher operating revenues are accompanied by a lower insurance risk, the firm will choose to self-insure. In contrast, if higher operating revenues are accompanied by a higher insurance risk, the firm will demand insurance. In fact, if its insurable losses are relatively small, the firm will fully insure its losses. Further, if there exists considerable uncertainty regarding the firm's insurance risk, the level of coverage demanded by the firm is dependent on its private information, with higher levels of coverage signaling favorable information regarding the firm's future operations.     

TOWARD A MORE COMPLETE MODEL OF OPTIMAL CAPITAL STRUCTURE

Most corporate finance practitioners understand the trade-off involved in making effective use of debt capacity while safeguarding the firm's ability to execute its business strategy without disruption. But quantifying that trade-off to arrive at an optimal level of debt can be a complicated and challenging task. This paper develops a simulation model of capital structure that starts by generating multiple estimates of market rates (LIBOR, currency rates) and corresponding company operating cash flows. To arrive at an optimal capital structure, the model then incorporates the shareholder value effects of alternative financing decisions by directly measuring the costs of financial distress, including the costs of missed investment opportunities and higher working capital requirements.
The model generates both a target credit rating and a lower fallback rating that permits a higher level of debt to maintain investments and dividends when operating cash flows are weak. As the model shows, companies with volatile cash flows and significant investment opportunities can add substantial shareholder value by establishing a fallback credit rating that is one or two notches below the target rating. The model also optimizes the mix of fixed versus floating debt, the maturity structure, and the currency composition. Another distinctive feature of the model is its ability to estimate the expected cost of alternative liability structures that can provide the liquidity insurance necessary to sustain the firm through periods of severe stress. This cost turns out to be quite small relative to the total market capitalization of the average firm.     

The Role of Volatility in Forecasting

Theories of underinvestment propose a link between cash flow volatility and investment and subsequent cash flow and earnings levels. Consistent with these theories, our results indicate that forecasting models that include volatility as an explanatory variable have greater accuracy and lower bias than forecasting models that exclude volatility. The improvement in forecast accuracy and bias is greatest when the firm is most likely to experience underinvestment. The profitable implementation of a trading strategy based on these findings, however, suggests that equity market participants do not incorporate fully the information in historical volatility when forecasting future firm performance.     

The Incremental Information Content of Earnings and Cash Flows from Operations Affected by Their Extremity

Previous returns studies have shown that extreme earnings and extreme cash flows from operations are less informative than moderate (i.e., less extreme) earnings and moderate cash flows. Studies also report that cash flows supplement to earnings in firm valuation by showing a higher association of cash flows with returns when earnings are extreme than when earnings are moderate. We propose that this supplementary role of cash flows is affected by cash flows extremity. Using data from the US capital markets, we find that the supplementary role of cash flows exists only when cash flows are not extreme. We also investigate the supplementary role of earnings to cash flows and search for a higher association of earnings with returns when cash flows are extreme than when cash flows are moderate. Similar to results on cash flows, our findings show that the supplementary role of earnings exists only when earnings are not extreme. Our results imply that investors and researchers should consider both earnings and cash flows extremity when assessing the information content of these variables.     

DDM模型不确定性与银行投资者关系管理

对银行股基本价值的判断是银行投资者关系管理部门与投资者沟通的基础。目前全球投资者通用三阶段DDM现金流折现模型进行银行股估值,该模型是通过预测银行未来现金流和终值折现加总后得到银行内在价值的分析方法。在实际应用中,对折现率、每年现金流、终值和银行ROE等不确定性变量的预测影响着对银行长期价值的判断。投资者关系管理部门应在经济运行和银行客观经营基础上,理解银行估值模型的不确定性,从而与投资者进行有效沟通,保持资本市场对这些不确定性因素的合理判断,引导资本市场从长期价值投资角度理解银行。     

Asset Valuation and Performance Measurement in a Dynamic Agency Setting

This paper examines the choice of asset valuation rules from a managerial control perspective. A manager creates value for a firm through his effort choices. To support its operating activities, the firm also engages in financing activities such as credit sales to its customers. Since such financing activities merely change the pattern of cash flows across periods, an optimal compensation scheme must shield the manager from the risk associated with the financing activities. We show that residual income combined with fair value accounting for receivables eliminates this risk and provides an optimal performance measure. In contrast, compensation schemes based only on realized cash flows can be optimal only under exceptional circumstances. We also consider a setting in which there is sufficiently disaggregated information about periodic cash flows so as to eliminate not only the risk associated with financing activities but also the risk associated with customer defaults. The principal then wants to depart from fair value accounting.     

Accruals,Cash Flows,and Equity Values

We find, as predicted, that the differential ability of accrual and cash flow components of earnings to help forecast future abnormal earnings and the persistence of the components result in the components having different valuation implications. We base our tests on Ohlson (1999) applied to fourteen industries. We find: (1) Accruals and cash flows aid in forecasting future abnormal earnings incremental to abnormal earnings and equity book value. (2) Accruals and cash flows provide explanatory power for equity market value incremental to equity book value and abnormal earnings. (3) There is evidence that accruals and cash flows valuation coefficients are consistent with the Ohlson model.     

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.     

参股保险业与企业流动性风险管理:基于货币政策变更背景

现阶段宏观经济政策不断变更给企业经营带来诸多不确定性,从而增加了流动性风险,而通过参股保险公司所建立的产融结合平台能使企业降低制度调整的风险成本。我们对此进行了实证分析,以2006年～2010年上市公司季度数据为样本,利用倾向概率配对模型控制样本内生性问题后实证检验发现:参股保险公司的上市公司日常现金持有水平和调整水平较未参股公司低,且在面对从紧货币政策时,这种流动性风险管理的提升效果更加突出。结论显示,上市公司与保险公司建立产融结合平台具有财务协同效应,部分抵消了货币政策变更不确定性的冲击。这一研究对于企业产融结合实践策略部署有着重要的现实意义,对保险行业引导产融结合趋势也有较强的实践参考价值。     

The Usefulness of Book-to-Market and ROE Expectations for Explaining UK Stock Returns

Abstract:  The fundamental valuation perspective on stock returns suggests that book-to-market will be positively related to returns if market value of equity equals future expected cash flows discounted at the expected return and book value proxies for future cash flows. Building on this perspective, we develop a log linear model which includes expectations of future BM and ROE in addition to current BM as explanatory variables for future stock returns. We show that these three variables explain a significant part of UK cross-sectional stock returns and that they remain highly statistically significant after including additional risk proxy variables. This supports relevance of fundamental valuation based firm characteristics for explaining stock returns and indicates their potential usefulness for predicting future stock returns.     

Valuation of Corporate Innovation and the Pricing of Risk in the Biopharmaceutical Industry: The Case of Gilead

Much of a firm's market value derives from expected future growth value rather than from the value of current operations or assets in place. Pharmaceutical companies are good examples of firms where much market value comes from expectations about drugs still in the development “pipeline.” Using a new osteoporosis drug being developed by Gilead Sciences, Inc., the author combines discounted cash flow methods values and real option models to value it. Alone, discounted cash flow (DCF) calculations are vulnerable to the assumptions of growth, cost of capital, and cash flows. But by integrating the real options approach with the DCF technique, one can value a new product in the highly regulated, risky and research‐intensive Biopharmaceutical industry. This article shows how to value a Biopharmaceutical product, tracked from discovery to market launch in a step‐by‐step manner. Improving over early real option models, this framework explicitly captures competition, speed of innovation, risk, financing need, the size of the market potential in valuing corporate innovation using a firm‐specific measure of risk and the industry‐wide value of growth operating cash flows. This framework shows how the risk of corporate innovation, which is not fully captured by the standard valuation models, is priced into the value of a firm's growth opportunity. The DCF approach permits top‐down estimation of the size of the industry‐wide growth opportunity that competing firms must race to capture, while the contingency‐claims technique allows bottom‐up incorporation of the firm's successful R&D investment and the timing of introduction of the new product to market. It also specifically prices the risk of innovation by modeling its two components: the consumer validation of technology and the expert validation of technology. Overall, it estimates the value contribution per share of a new product for the firm.