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Lucie Courteau, J. Kao, G. Richardson (2001)
Equity Valuation Employing the Ideal Versus Ad Hoc Terminal Value ExpressionsContemporary Accounting Research, 18
Asquith Asquith, Mikhail Mikhail, Au Au (2005)
Information content of equity analyst reportsJournal of Financial Economics, 75
Andrew Alford (1992)
THE EFFECT OF THE SET OF COMPARABLE FIRMS ON THE ACCURACY OF THE PRICE EARNINGS VALUATION METHODJournal of Accounting Research, 30
S. Kaplan, Richard Ruback (1996)
The Market Pricing Of Cash Flow Forecasts: Discounted Cash Flow Vs. The Method Of “Comparables”Journal of Applied Corporate Finance, 8
S. Penman (1997)
A Synthesis of Equity Valuation Techniques and the Terminal Value Calculation for the Dividend Discount ModelReview of Accounting Studies, 2
Randolph Beatty, Susan Riffe, Rex Thompson (1999)
The Method of Comparables and Tax Court Valuations of Private Firms: An Empirical InvestigationAccounting Horizons, 13
Brian Bushee (1999)
Do Institutional Investors Prefer Near-Term Earnings Over Long-Run Value?Capital Markets: Asset Pricing & Valuation
Boatsman Boatsman, Baskin Baskin (1981)
Who is my peer? Asset valuation with incomplete marketsThe Accounting Review, 56
Richard Sloan (2002)
Discussion of Who Is My Peer? A Valuation-Based Approach to the Selection of Comparable FirmsJournal of Accounting Research, 40
E. Fama, K. French (1997)
Industry costs of equityJournal of Financial Economics, 43
Liu Liu, Nissim Nissim, Thomas Thomas (2002a)
Equity valuation using multiplesJournal of Accounting Research, 40
Sanjeev Bhojraj, Charles Lee (2002)
Who Is My Peer? A Valuation-Based Approach to the Selection of Comparable FirmsJournal of Accounting Research, 40
Bandyopadhyay Bandyopadhyay, Brown Brown, Richardson Richardson (1995)
Analysts’ use of earnings forecasts in predicting stock returns: forecast horizon effectsInternational Journal of Forecasting, 11
Bushee Bushee (2001)
Do institutional investors prefer near‐term earnings over long‐run value?Contemporary Accounting Research, 18
Richard Sloan (1998)
Do Stock Prices Fully Reflect Information in Accruals and Cash Flows About Future EarningsThe Accounting Review, 71
P. Asquith, Andrea Au, Michael Mikhail (2002)
Information Content of Equity Analyst ReportsS&P Global Market Intelligence Research Paper Series
James Ohlson (2000)
Residual Income Valuation: The ProblemsJournal of Accounting Abstracts
Jing Liu, Doron Nissim, Jacob Thomas (2000)
Equity Valuation Using MultiplesCorporate Finance: Valuation
S. Bandyopadhyay, L. Brown, G. Richardson (1995)
Analysts' Use of Earnings Forecasts in Predicting Stock Returns: Forecast Horizon EffectsFinancial Accounting
Patricia Dechow, Amy Hutton, Richard Sloan (1999)
An empirical assessment of the residual income valuation model1Journal of Accounting and Economics, 26
Kim Kim, Ritter Ritter (1999)
Valuing IPOsJournal of Financial Economics, 53
In this paper, we assess the relative performance of the direct valuation method and industry multiplier models using 41 435 firm‐quarter Value Line observations over an 11 year (1990–2000) period. Results from both pricing‐error and return‐prediction analyses indicate that direct valuation yields lower percentage pricing errors and greater return prediction ability than the forward price to aggregated forecasted earnings multiplier model. However, a simple hybrid combination of these two methods leads to more accurate intrinsic value estimates, compared to either method used in isolation. It would appear that fundamental analysis could benefit from using one approach as a check on the other.
Accounting & Finance – Wiley
Published: Dec 1, 2006
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