Essays on the Residual Income Valuation Model
Author | : Qiang Cheng |
Publisher | : |
Total Pages | : 112 |
Release | : 2005 |
Genre | : Cost accounting |
ISBN | : |
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Author | : Qiang Cheng |
Publisher | : |
Total Pages | : 112 |
Release | : 2005 |
Genre | : Cost accounting |
ISBN | : |
Author | : Qiang Cheng |
Publisher | : |
Total Pages | : 132 |
Release | : 2002 |
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ISBN | : |
Author | : |
Publisher | : |
Total Pages | : |
Release | : 2005 |
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Author | : John Anthony Jeffrey Briginshaw |
Publisher | : |
Total Pages | : 256 |
Release | : 2003 |
Genre | : |
ISBN | : |
Author | : Robert F. Halsey |
Publisher | : |
Total Pages | : 29 |
Release | : 2001 |
Genre | : |
ISBN | : |
This article provides an overview of the residual-income stock price valuation model and demonstrates its use in interpreting the DuPont return on equity (ROE) decomposition. The model provides theoretical support for the DuPont model's focus on ROE and aids in understanding the implications of the price-to-book and price-earnings ratios. I conclude with an application of the model in the valuation of Nordstrom, Inc.
Author | : Jose Elias Feres de Almeida |
Publisher | : |
Total Pages | : 16 |
Release | : 2015 |
Genre | : |
ISBN | : |
This paper revisits two valuation models based on accounting figures: the Residual Income Valuation (RIV) and Abnormal Earnings Growth (AEG). Our research design has two approaches: i) we demonstrate theoretical integration of both models; and ii) we show in a practical manner that models converge to the same results based on real data of analysts forecast consensus. We apply statistical tests on empirical data from analyst's forecasts available on Thomson One Analytics database. We use information of 45 firms listed on the IBovespa segment from BMF&BOVESPA in 2008 with historical data from 2003 to 2007 and analysts' projections from 2003 to 2010. Our results do not show a significant mean difference of the valuations, but those from the RIV model are more dispersed than those produced by the AEG model. Furthermore, our results are consistent with international evidences and present additional evidences of application of valuation models based on accounting information in Brazil. Our findings support the use of valuation models based on accounting figures by analysts, investors, rating agencies and regulators to provide additional analyses of firm's future prospects.
Author | : Patricia M. Dechow |
Publisher | : |
Total Pages | : 49 |
Release | : 1997 |
Genre | : |
ISBN | : |
This paper provides an empirical assessment of the residual income valuation model presented in Ohlson (1995). We demonstrate that existing empirical research using Ohlson2s model is remarkably similar to past empirical workbased on the standard version of the dividend discounting model. We establish that the key unexploited empirical implications of Ohlson2s model derive from its assumption concerning the time-series properties of residual income. We show that this assumption is more empirically descriptive than the assumptions embedded in popular accounting-based valuation models. We find that a simple empirical version of the residual income valuation model provides modest improvements over the popular models in predicting and explaining future (abnormal) earnings, current stock prices and current stock returns. We also show that the residual income valuation model is the best predictor of future stock returns, and that this result is, at least in part, due to its ability to identify systematic errors inanalysts2 earnings forecasts.
Author | : Russell J. Lundholm |
Publisher | : |
Total Pages | : 33 |
Release | : 2001 |
Genre | : |
ISBN | : |
In this paper we investigate why the discounted cash flow model and residual income model frequently give different value estimates. We identify three common errors in the implementation of the models and show that these errors affect the models in different ways, creating differences in the value estimates that each produces. Our estimates of the size and direction of these errors roughly reconciles the observed differences in value estimates from papers attempting to quot;horse-racequot; the models. We also argue that any such contest is ill-conceived; given the same set of forecasted financial statements all models derived from the basic dividend-discounting assumption should yield the same value estimate. We discuss why claims of the residual income model's superiority over the discounted cash flow model, both on empirical and theoretical grounds, are misstated.
Author | : Young-Soo Choi |
Publisher | : LAP Lambert Academic Publishing |
Total Pages | : 280 |
Release | : 2010-09 |
Genre | : |
ISBN | : 9783843357944 |
Following the seminal theoretical work of Ohlson (1995), many researchers have tried to investigate the linear information dynamics (LID) model's validity empirically. However, empirical applications of the LID approach to residual income (RI)-based equity valuation have produced estimates of firm value that are substantially lower on average than corresponding observed market values. This book augments the Ohlson model by incorporating residual income and 'other information' intercepts into the original linear information dynamics, in order to capture the impact of the intercept terms on the residual income forecasts and firm values. I argue that the large negative bias in LID-based value estimates might be attributable to failure to deal fully with the effects of conservative accounting in projecting residual income. The main objective of the book is thus to examine whether the 'intercept-inclusive' LID model produces more reliable value estimates than the extant RI-based valuation models. I also address a potentially important issue of the different applicability under different conditions of different RI-based valuation models.
Author | : Zhuo Tan |
Publisher | : |
Total Pages | : |
Release | : 2013 |
Genre | : Finance |
ISBN | : |
This dissertation consists of two essays that address issues related to the cross-section of stock returns. The first essay documents that actively managed mutual funds invest disproportionately in stocks with high historical risk-adjusted returns (alpha). This alpha-chasing behavior has a destabilizing effect on stock price. Specifically, low-alpha stocks earn higher subsequent returns than high-alpha stocks up to two months following portfolio formation—i.e. alpha is not persistent, but reverses. Consistent with liquidity-based price pressure, I find that low- (high)-alpha stocks that are heavily traded by mutual funds exhibit strong subsequent return reversals. Further analysis finds that trades from a few large funds are the primary source of this trading. However, there is no evidence to support the view that herding by fund managers explains fund managers’ preference for high-alpha stocks. The reason why managers of large mutual funds chase high-alpha stocks when alpha is not persistent remains a puzzle. The second essay shows that a better measure of mispricing confirms the primary prediction of the limits-of-arbitrage hypothesis that high levels of idiosyncratic risk prevent arbitrage activity. Rather than using returns to size, B/M and momentum portfolios, I construct a mispricing measure based on the difference between a stock’s price and its intrinsic value estimated using the residual income model of Ohlson (1995). I confirm that this measure explains future returns. I then use it and idiosyncratic return volatility to proxy for mispricing and arbitrage risk, respectively. I find that expected returns to undervalued (overvalued) stocks monotonically increase (decrease) with idiosyncratic risk. These findings support the limits-of-arbitrage hypothesis and that idiosyncratic risk is an impediment to arbitrage.