Abstract

 
 

References (28)



 


 



Cash Flow Multipliers and Optimal Investment Decisions


Holger Kraft


Goethe University Frankfurt

Eduardo S. Schwartz


University of California, Los Angeles (UCLA) - Finance Area; National Bureau of Economic Research (NBER)

March 1, 2011


Abstract:     
Valuation multipliers are frequently used in practice. We analyze the multiplier that yields the value of the firm when multiplied by the current cash flows of the firm, i.e. the cash flow multiplier. By postulating a simple stochastic process for the firm's cash flows in which the drift and the variance of the process depend on the investment policy, we develop a stylized model that links the cash flow multiplier to the optimal investment policy. Our model implies that the multiplier increases with investment at a decreasing rate (diminishing marginal returns on capital), i.e. there is a nonlinear relationship between the multiplier and investment. On the other hand, the multiplier is inversely related to discount rates. Using an extensive data set we examine the implications of our model. We find strong support for the variables postulated by the model.

Number of Pages in PDF File: 33

Keywords: Firm valuation, Valuation multiples, Real options

JEL Classification: G12

working papers series


Download This Paper

Date posted: March 2, 2010 ; Last revised: March 14, 2011

Suggested Citation

Kraft, Holger and Schwartz, Eduardo S., Cash Flow Multipliers and Optimal Investment Decisions (March 1, 2011). Available at SSRN: http://ssrn.com/abstract=1562100 or http://dx.doi.org/10.2139/ssrn.1562100

Contact Information

Holger Kraft
Goethe University Frankfurt ( email )
Faculty of Economics and Business Administration
Grueneburgplatz 1
Frankfurt am Main, 60323
Germany
Eduardo S. Schwartz (Contact Author)
University of California, Los Angeles (UCLA) - Finance Area ( email )
Los Angeles, CA 90095-1481
United States
310-825-1953 (Phone)
310-206-5455 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 1,076
Downloads: 279
Download Rank: 48,233
References:  28

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo3 in 0.609 seconds