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Incentives in Internal Capital Markets: Capital Constraints, Competition, and Investment Opportunities


Roman Inderst


University of Frankfurt; Imperial College London

Christian Laux


Vienna University of Economics and Business Administration

May 2001

EFA 2002 Berlin Meetings Presented Paper

Abstract:     
This paper considers the effect of competition for scarce financial resources on managers' incentives to generate profitable investment opportunities. Competition is only unambiguously beneficial if projects are symmetric. If divisions differ in their cash endowments or their growth potential, integration may reduce incentives for some managers, which may lower total firm value. Moreover, relaxing capital constraints, e.g., by integrating a cash cow project, may reduce incentives.

We treat two different scenarios where contracts can either only specify monetary incentives or additionally the allocation of funds. While distorted capital allocations increase managers' incentives, they only survive renegotiations in integrated firms.

Number of Pages in PDF File: 37

Keywords: capital allocation, conglomerate discount

JEL Classification: G31, G34, J33

working papers series


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Date posted: February 2, 2001  

Suggested Citation

Inderst, Roman and Laux, Christian, Incentives in Internal Capital Markets: Capital Constraints, Competition, and Investment Opportunities (May 2001). EFA 2002 Berlin Meetings Presented Paper. Available at SSRN: http://ssrn.com/abstract=253965 or http://dx.doi.org/10.2139/ssrn.253965

Contact Information

Roman Inderst (Contact Author)
University of Frankfurt ( email )
Grüneburgplatz 1 (H11)
Frankfurt am Main, DE 60323
Germany
+49 (69) 798-34023 (Phone)
+49 (69) 798-33912 (Fax)
HOME PAGE: http://www.finance.uni-frankfurt.de/inderst/index.php?lg=1&men=2&case=prof
Imperial College London ( email )
South Kensington Campus
London SW7 2AZ
United Kingdom
Christian Laux
Vienna University of Economics and Business Administration ( email )
Augasse 2-6
Vienna, Wien A-1090
Austria
Feedback to SSRN (Beta)


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