Abstract

 
 

References (24)



 
 

Citations (1)



 


 



Valuation Accuracy and Infinity Horizon Forecast: Empirical Evidence from Europe


Lucio Cassia


University of Bergamo - SIGE Sezione di Ingegneria Gestionale

Silvio Vismara


University of Bergamo


Journal of International Financial Management & Accounting, Vol. 20, Issue 2, pp. 135-165, Summer 2009

Abstract:     
This paper focuses on the assumptions of infinite-horizon forecasting in the field of firm valuation. The estimate of long-run continuing values is based on the hypothesis that companies should have reached the steady state at the end of the period of explicit forecasts. It is argued that the equivalence between cash accounting and accrual accounting is the way of verifying the steady-state assumption, defined as the state when a firm earns exactly its cost of capital, i.e., what we would expect in pure-competition settings. From this definition, we derive that the “ideal” growth rate to use in steady state is equal to the reinvestment rate times Weighted Average Cost of Capital. To validate our approach, we collect a sample of 784 analyst valuations and compare how the implied target prices deviate from what the target prices would have been using the “ideal” steady-state growth rates. Using Logit and Cox regression models, we find that this deviation has predictive value over the probability that actual market price reaches the target price over the following 12-month period - the smaller the deviation the greater is the likelihood that the market price reaches the target price.

Number of Pages in PDF File: 31

Accepted Paper Series


Date posted: April 27, 2009  

Suggested Citation

Cassia, Lucio and Vismara, Silvio, Valuation Accuracy and Infinity Horizon Forecast: Empirical Evidence from Europe. Journal of International Financial Management & Accounting, Vol. 20, Issue 2, pp. 135-165, Summer 2009. Available at SSRN: http://ssrn.com/abstract=1394628 or http://dx.doi.org/10.1111/j.1467-646X.2009.01030.x

Contact Information

Lucio Cassia (Contact Author)
University of Bergamo - SIGE Sezione di Ingegneria Gestionale ( email )
Via Marconi 5
24044 Dalmine, Bergamo
Italy
Silvio Vismara
University of Bergamo ( email )
Via Marconi 5
24044 Dalmine, Bergamo
Italy
00390352052352 (Phone)
0039035562779 (Fax)
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 353
Downloads: 4
References:  24
Citations:  1

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo5 in 0.672 seconds