Empirical Tests of the Feltham–Ohlson (1995) Model

This paper tests the Feltham–Ohlson (1995) model by transforming the undefined “other information” variables into expectational variables, as suggested by Liu and Ohlson [Liu and Ohlson (2000). Journal of Accounting, Auditing and Finance 15, 321–331]. The signs of the estimated coefficients conform to the model’s predictions using panel data techniques, non-parametric estimation, reverse regressions and portfolio regressions. The tests reject the Ohlson model in favor of Feltham–Ohlson. Nevertheless, the estimated leverage coefficient takes a value of three instead of one for most variations of the model. Also, the 1-year-ahead price predictions of the Feltham–Ohlson model are no more accurate than those of the Ohlson model or a naive earnings valuation model.     

Linear Accounting Valuation When Abnormal Earnings Are AR(2)

The Ohlson (1995) model assumes that abnormal earnings follow an AR(1) process primarily for reasons of mathematical tractability. However, the empirical literature on the Garman and Ohlson (1980) model finds that the data support an AR(2) lag structure for earnings, book values and dividends. Moreover, the AR(2) process encompasses a far richer variety of time series patterns than does the AR(1) process and includes the AR(1) process as a special case. This paper solves the Ohlson model directly for an AR(2) abnormal earnings dynamic. The model is estimated on a time series firm-level basis following the approach used by Myers (1999). It is found that, like the Ohlson AR(1) model, the Ohlson AR(2) model severely underestimates market prices even relative to book values. These results further bring into question the empirical validity of the Ohlson model.     

Impacto de las Normas de Información Financiera en la relevancia de la información financiera en México

In this study, it is shown that the value relevance of the financial information, measured by the coefficient of determination (R²), has improved as consequence of the changes in the financial reporting standards. It is applied the Ohlson model (1995) with accounting variables (earning per share and book value) and the stock market price of Mexican stock market companies, during the period from 1992 to 2010. The econometric results are obtained applying an Ordinary Least Squared Regression Analysis and a Panel Data Analysis. The sample is divided in two periods, before and after the foundation of CINIF, and the Chow test is applied to confirm the existence of a structural change. The book value variable is consistently significant in both periods. The Ohlson model is also applied to sub-samples which distinguish the firm for its size, for belonging to the Food and beverages industry and for its classification as Tangible and Intangible firms.     

Conditional risk–return relationship in a time-varying beta model

We investigate the asymmetric risk–return relationship in a time-varying beta CAPM. A state space model is established and estimated by the Adaptive Least Squares with Kalman foundations proposed by McCulloch. Using S&P 500 daily data from 1987:11–2003:12, we find a positive risk–return relationship in the up market (positive market excess returns) and a negative relationship in the down market (negative market excess returns). This supports the argument of Pettengill et al., who use a constant beta model. However, our model outperforms theirs by eliminating the unexplained returns and improving the accuracy of the estimated risk price.     

Time-Varying Betas of German Stock Returns

The market model assumes stock returns to be a linear function of the market return. However, there is considerable evidence that the beta stability assumption commonly used when estimating the market model is invalid. In this paper we account for beta instability in German stock returns by allowing the coefficients to vary over time in estimation. For time-varying beta estimation we rely on the Flexible Least Squares approach, the Random Walk Model and Moving Window Least Squares. Due to our results time-varying estimation fits the data considerably better than time-invariant estimation and, hence, increases the efficiency of beta based risk measurement.Acknowledgements: The authors thank Stefan Mittnik, Christian Pigorsch, an anonymous referee and the editor for constructive comments.     

Earnings Persistence, Losses and the Estimation of Earnings Response Coefficients

One of the major themes of capital markets accounting research concerns mapping the relation between accounting earnings and security returns. There is still not agreement on the functional form of this relation. The models analysed here are those where: the level of earnings alone, the change in earnings alone, or both, scaled by price, are used as explanatory variables for returns. This article demonstrates that if earnings are either completely permanent or entirely transitory, the earnings response coefficients (ERCs) estimated by levels and changes models should coincide. However, if earnings comprise a mixed process of permanent and transitory components, the ERC estimated by the levels will differ from that estimated by the changes model. Using losses to identify transitory components in earnings, empirical evidence consistent with these predictions is provided.
A combined model using both the level of, and change in, earnings is justified as a weighted average of an earnings and a book value valuation model (e.g., Ohlson, 1989). An alternative rationalization concerns the mitigation of an errors-in-variables problem associated with the estimation of unexpected earnings (Ali and Zarowin, 1992). The results for the combined model are more consistent with the latter. In this context, some previous empirical studies perceive the levels variable as a useful addition to the changes variable when there are transitory components in earnings. However, the evidence reported here suggests that the level of earnings, scaled by price, appears to be the fundamental earnings explanatory variable for returns (Ohlson, 1991, p. 1). The changes variable can, when the errors-in-variables problem is not mitigated by other methods, be a useful addition to the levels variable.     

Regression-based algorithms for life insurance contracts with surrender guarantees

We present a general framework for pricing life insurance contracts embedding a surrender option. The model allows for several sources of risk, such as uncertainty in mortality, interest rates and other financial factors. We describe and compare two numerical schemes based on the Least Squares Monte Carlo method, emphasizing underlying modeling assumptions and computational issues.     

Modeling dividends,earnings, and book value equity: An empirical investigation of the ohlson valuation dynamics

This study empirically investigates the information dynamics of the Ohlson valuation framework. Single-period lagged linear autoregressive relationships among dividends, earnings, and book values of equity are estimated for a sample of stochastically stationary firms and are found not to support the valuation framework. This study further extends the empirical analysis to a multilagged vector autoregressive linear information system. Consistent with the Ohlson valuation framework,the past time series of all three variables are generally found to be relevant for firm valuation. This study brings into question empirical research utilizing the Ohlson framework that presupposes a single-period lagged information dynamic.     

Predicting Business Failures in Canada*

Empirical researchers and practitioners frequently use the bankruptcy prediction models developed by Altman (1968) and Ohlson (1980). This poses a potential problem for practitioners in Canada and researchers working with Canadian data because the Altman and Ohlson models were developed using U.S. data. We compare Canadian bankruptcy prediction models developed by Springate (1978), Altman and Levallee (1980), and Legault and Véronneau (1986) against the Altman and Ohlson models using recent data to determine the robustness of all models over time and the applicability of the Altman and Ohlson models to the Canadian environment. Our results indicate that the models developed by Springate (1978) and Legault and Véronneau (1986) yield similar results to the Ohlson (1980) model while being simpler and requiring less data. The Altman (1968) and Altman and Levallee (1980) models generally have lower performance than the other models. All models have stronger performance with the original coefficients than with re‐estimated coefficients. Our results regarding the Altman and Ohlson models are consistent with Begley, Ming, and Watts (1996), who found that the original version of the Ohlson model is superior to the Altman model and is robust over time. Les chercheurs empiriques et les praticiens ont souvent recours aux modèles de prédiction des faillites élaborés par Altman (1968) et Ohlson (1980). Or, le fait que ces auteurs aient utilisé des données des États‐Unis dans l'élaboration de leurs modèles soulève un problème particulier pour les praticiens canadiens et les chercheurs qui traitent des données canadiennes. Les auteurs comparent les modèles canadiens de prédiction des faillites mis au point par Springate (1978), Altman et Levallée (1980) et Legault et Véronneau (1986) aux modèles proposés par Altman et Ohlson, en se servant de données récentes pour évaluer la robustesse de tous ces modèles dans le temps et l'applicabilité des modèles d'Altman et Ohlson au contexte canadien. L'analyse révèle que les modèles de Springate (1978) et de Legault et Véronneau (1986) produisent des résultats similaires à ceux du modèle d'Ohlson (1980), bien qu'ils soient plus simples et exigent moins de données. De façon générale, les modèles d'Altman (1968) et d'Altman et Levallee (1980) sont moins performants que les autres modèles. Tous les modèles sont plus efficaces lorsqu'ils font usage des coefficients initiaux que lorsqu'ils sont appliqués à de nouvelles estimations des coefficients. Les résultats obtenus en ce qui a trait aux modèles d'Altman et d'Ohlson corroborent ceux de Begley, Ming et Watts (1996) qui constatent que la version initiale du modèle d'Ohlson est supérieure au modèle d'Altman et résiste au passage du temps.     

The non-linear relationship between oil prices and stock prices: Evidence from oil-importing and oil-exporting countries

This paper investigates the long-run dynamics between stock and oil prices over the period from March 13, 2001 to August 25, 2017 using the Rafailidis and Katrakilidis (2014) approach, which includes the structural breaks in the relationship between the variables in a Dynamic Ordinary Least Squares model. The approach verifies the existence of cointegration and asymmetry. The main results indicate that when using nonlinear approaches, we can find cointegration and asymmetry. For oil-exporting countries, a positive long-term relationship was found between oil and stock prices. In this case, the wealth effect prevailed for these countries. For oil-importing countries with developed economies, a negative signal was found, confirming that in these economies the business cost channel prevailed. However, oil-importing countries with emerging economies have experienced a positive sign in the long-term relationship, probably due to the economic cycle. In addition, only the United States has seen asymmetric adjustments in the long-term relationship between oil and stock prices.     

An empirical assessment of the Feltham-Ohlson models considering the sign of abnormal earnings

This paper provides an empirical assessment of the Feltham-Ohlson models, distinguishing between firms with positive and negative abnormal earnings. Abnormal earnings persistence and conservatism parameters differ for these two groups; this implies different earnings prediction models and valuation functions for both profit-making and loss-making firms. The analysis refers to the period 1991-1999 and uses a sample of Spanish firms quoted on the Madrid S.E. The results suggest that our contextual approach is more useful than the non-contextual one to predict future abnormal earnings and explain current prices. Although the Ohlson (1995) model is accurate in forecasting future abnormal earnings and stock prices, the results improve when firms with negative abnormal earnings are valued using a temporary model and firms with positive abnormal earnings using a more permanent one. The Feltham and Ohlson (1995) model generates the lowest forecast errors in the prediction of positive abnormal earnings, but it produces the least accurate results in forecasting prices.     

Discussion of “On Accounting-Based Valuation Formulae” and “Expected EPS and EPS Growthas Determinants of Value”

This discussion evaluates the abnormal earnings growth valuation (AEG) Model of Ohlson and Juettner-Nauroth and, in similar vein to the Ohlson review paper at this conference, compares the Model to the residual income valuation (RIV) Model that has been the centerpiece of accounting-based valuation in recent years. The discussion begins with a statement of what one looks for in a practical valuation model. The innovations of the AEG Model, well stated by Ohlson, are acknowledged. A comparison of the advantages and disadvantages of the alternative approaches provides some qualification, however, and draws out the utility of a residual income valuation approach.This revised version was published online in August 2005 with a corrected cover date.     

Degrees-of-freedom problem and implied cost of equity capital

Bias in implied cost of equity estimates arises from analyst optimism and a degrees-of-freedom problem. The common practice in empirical studies of using a proxy for the earnings forecast horizon beyond two years in the Ohlson and Juettner-Nauroth (OJ) model is potentially biased. We derive a generalized OJ model over a T period forecast horizon and indicate the extent of this bias. The implied cost of equity capital is obtained from a quadratic equation, where our constant term comprises T short-term annual earnings per share growth rates, rather than just the next-period counterpart in the OJ model.     

The effect of comprehensive performance measurement systems on role clarity,psychological empowerment and managerial performance

This study examines how comprehensive performance measurement systems (PMS) affect managerial performance. It is proposed that the effect of comprehensive PMS on managerial performance is indirect through the mediating variables of role clarity and psychological empowerment. Data collected from a survey of 83 strategic business unit managers are used to test the model. Results from a structural model tested using Partial Least Squares regression indicate that comprehensive PMS is indirectly related to managerial performance through the intervening variables of role clarity and psychological empowerment. This result highlights the role of cognitive and motivational mechanisms in explaining the effect of management accounting systems on managerial performance. In particular, the results indicate that comprehensive PMS influences managers’ cognition and motivation, which, in turn, influence managerial performance.     

A UK Test of an Inflation‐Adjusted Ohlson Model

Abstract:   This paper conducts a UK test of a version of the Ohlson (1995) model. We should only expect abnormal earnings to revert to zero if the book value of assets is economically meaningful. In this paper we make use of the property revaluations common in UK accounts, but estimate other asset values and earnings in inflation‐adjusted terms. This, we argue, gives rise to estimates of abnormal earnings that can reasonably be expected to revert to zero. We then test this modified model on UK data using the Dechow, Hutton and Sloan (1999) method. In line with the predictions of the Ohlson model, we find that these modified abnormal earnings appear to mean revert, and that a first order autoregressive process is sufficient to capture the persistence of UK real abnormal earnings. The modified abnormal earnings model in general predicts one year ahead earnings more successfully than an unmodified model. Furthermore, for much of the sample period, one year ahead predictions of abnormal earnings are better for the real model during periods of higher inflation. The undervaluation problem found in prior studies appears to be replaced with an overvaluation problem in the real model which is more acute during periods of high inflation. Last, we show that an estimate of the model based upon an industry level specification appears to perform no better than a market‐wide specification of the model.     

Discussion of “Forward Versus Trailing Earnings in Equity Valuation”

The focus of this discussion is on the empirical implications of Yee (2004, this issue). Yee's key contribution is the introduction of belief dependency into the model developed in Ohlson (1995), Feltham and Ohlson (1995, 1996), and Ohlson and Zhang (1998). Yee's primary conclusion is that accruals that do not incorporate beliefs about unobservable information lead to contemporaneous accounting data that are not sufficient for valuation but often belief-free accruals can lead to forward earnings that may be valuation sufficient. Yee (2004) provides an alternative theoretical model of the relation between firm value, trailing earnings, and forward earnings. This model may be used (1) to re-interpret the results of numerous empirical studies of the relation between market metrics, trailing earnings, and forward earnings, and (2) as the basis for framing further hypotheses and empirical studies.     

Estimating Beta

This paper presents evidence that Ordinary Least Squares estimators of beta coefficients of major firms and portfolios are highly sensitive to observations of extremes in market index returns. This sensitivity is rooted in the inconsistency of the quadratic loss function in financial theory. By introducing considerations of risk aversion into the estimation procedure using alternative estimators derived from Gini measures of variability one can overcome this lack of robustness and improve the reliability of the results.     

Backward simulation methods for pricing American options under the CIR process

In this paper, we focus on backward simulation of the CIR process. The purpose is to solve the memory requirement issue of the Least Squares Monte Carlo method when pricing American options by simulation. The concept of backward simulation is presented and it is classified into two types. Under the framework of the second type backward simulation, we seek the solutions for the existing CIR schemes. Specifically, we propose forward–backward simulation approaches for Alfonsi’s two implicit schemes, the fixed Euler schemes and the exact scheme. The proposed schemes are numerically tested and compared in pricing American options under the Heston model and the stochastic interest rate model. Some numerical properties such as the convergence order of the explicit–implicit Euler schemes, the storage requirement estimation of the forward–backward exact scheme and its computing time comparison with the squared Bessel bridge are also tested. Finally, the pros and cons of the related backward simulation schemes are summarized.     

Positive (Zero) NPV Projects and the Behavior of Residual Earnings

This paper analyzes the time‐series behavior of residual earnings as it relates to the existence of positive NPV opportunities (or 'rents'). The issue is of interest because many recent papers (e.g., Lo and Lys, 1999; and Holthausen and Watts, 2001) have commented on it in the context of the Ohlson (1995) model. The analysis shows that the Ohlson (1995) model allows for positive NPV opportunities, contrary to the frequently made claims.     

THE INFORMATIONAL CONTENT OF FORWARD RATES: FURTHER EVIDENCE

Using single-equation estimation techniques, researchers have generally found that forward rates have little ability to predict future spot rates. In this paper, Generalized Least Squares is used to estimate simultaneously the forecastive ability of multiple forward rates. It is discovered that current forward rates significantly predict future spot rates for various rate maturities up to twelve months ahead. Also found are instances in which the Treasury bill market does not conform to the weak form of market efficiency.