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SSRN Electronic Journal
Article . 2010 . Peer-reviewed
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No Bank, One Bank, Several Banks: Does it Matter for Investment?

Authors: Sonia Ruano; Robert M. Townsend; Jesus Saurina; Alexander Karaivanov;

No Bank, One Bank, Several Banks: Does it Matter for Investment?

Abstract

This paper examines whether financial constraints affect firms’ investment decisions for older (larger) firms. We compare a group of unbanked firms to firms that rely on formal financing. Specifically, we combine data from the Spanish Mercantile Registry and the Bank of Spain Credit Registry (CIR) to classify firms according to their number of banking relations: one, several, or none. Our empirical strategy combines two approaches based on a common theoretical model. First, using a standard Euler equation adjustment cost approach to investment, we find that single-banked firms in our sample are most likely to exhibit cash flow sensitivity while unbanked firms are not. Second, using structural maximum likelihood estimation, we find that unbanked firms have a financial structure which is close to credit subject to moral hazard with unobserved effort, whereas single-banked firms have a financial structure which is more limited, as in an exogenously imposed traditional debt model. Firms in the unbanked category do not rely on bonds, equity, or formal financial markets, but rather on other firms in a financial or family-tied group (with either pyramidal or informal structure). We are among the first to document the importance of such groups in a European country. We control for reverse causality by treating bank relationships as endogenous and/or by appropriate stratifications of the sample.

Keywords

financial constraints, bank lending, investment Euler equations, moral hazard, structural estimation and testing, jel: jel:D92, jel: jel:C61, jel: jel:D82, jel: jel:G30, jel: jel:G21

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
26
Average
Top 10%
Top 10%
bronze