MANAGERIAL LEARNING THROUGH CUSTOMER–SUPPLIER LINKS

DOIhttp://doi.org/10.1111/jfir.12161
AuthorSerhat Yildiz,Kathleen P. Fuller
Published date01 December 2018
Date01 December 2018
MANAGERIAL LEARNING THROUGH CUSTOMERSUPPLIER LINKS
Kathleen P. Fuller
University of Mississippi
Serhat Yildiz
University of NevadaReno
Abstract
We provide empirical evidence that supplier rmsmanagers learn new information
from their customersstock prices when they make investment, long-term nancing,
short-term nancing, and dividend decisions. Our ndings provide novel empirical
evidence that the stock market has real effects on the economy through customer
supplier links. Our results indicate that managerial learning is not conned to peersor
rmsown stock prices but is a more comprehensive process that includes cross-industry
learning. Furthermore, managerial learning is not limited to investment decisions but is
also present in long-term nancing, short-term nancing, and dividend decisions.
JEL Classification: D22, D83, G31, G32
I. Introduction
Do rm managers learn from the information in stock prices? If the information in stock
prices affects managersdecisions, the nancial markets are not sideshows but rather key
players in the real economy.
1
Dow and Gorton (1997) and Subrahmanyam and Titman
(1999) theoretically show that managers can learn from their rmsstock prices, and
managersdecisions, such as investment and nancing choices, can be guided by the
information in stock prices. Empirical studies show that managers learn from the private
information in their rmsstock prices when they make investment (Chen, Goldstein,
and Jiang 2007) and saving (Fresard 2012) decisions. Huang and Zeng (2014)
theoretically predict that managerial learning across stocks is also possible. Consistent
with Huang and Zengs predictions, Foucault and Fresard (2014) and Ozoguz and
Rebello (2013) empirically nd that managers learn from the private information in their
peersstock prices when they make investment decisions.
We also know that the customersupplier links are as important as peer links in
investment decisions, capital structure policies, bankruptcies, and information ow.
Research has linked the rms investment (e.g., Patatoukas 2012; Irvine, Park, and
Yildizhan 2015; Murn and Njoroge 2015) and capital structure (e.g., Kale and Shahrur
We appreciate the helpful comments of our referee, Erik Devos, and the associate editor, Andy Prevost.
1
Bond, Edmans, and Goldstein (2012) survey the theoretical literature focusing on the real impacts of
nancial markets.
The Journal of Financial Research Vol. XLI, No. 4 Pages 507533 Winter 2018
DOI: 10.1111/jfir.12161
507
© 2018 The Southern Finance Association and the Southwestern Finance Association
2007; Banerjee, Dasgupta, and Kim 2008; Johnson et al. 2014) decisions to customer
supplier relations.
2
Bankruptcy lings are associated with negative and signicant stock
price effects for supplier rms (Hertzel et al. 2008). Empirical evidence for information
ow across customersupplier links is also abundant. Suppliersearning announcements
contain information about their customersearnings (Eshleman and Guo 2014).
Suppliersstock prices react to their customerssales (Olsen and Dietrich 1985) and
earning (Pandit, Wasley, and Zach 2011) announcements. Investorslimited attention
leads to delays in information ow and return predictability across customersupplier
links (Cohen and Frazzini 2008).
Given that cross-asset managerial learning occurs and information ows through
customersupplier links, we argue that managerial learning may take place through
customersupplier links. Suppliersmanagers collect information about their customers
when they make investment and capital structure decisions. In addition to meetings and
contracts with customers, suppliersmanagers can use customersstock prices as an
additional information source and learn from the private information in their customers
stock prices. Our argument closely relates to Foucault and Fresards (2014) theoretical
prediction that managerial learning from peersstock prices decreases the sensitivity of a
rms investment to its own stock price. We suggest that supplier rmsmanagers learn
from the private information in their customer rmsstock prices and may rely less on
their own rmsstock prices.
3
Specically, we examine whether as the amount of private
information in customersstock prices increases, sensitivity of a suppliers investment
and nancing to its own stock price decreases.
Using a sample of U.S. nonnancial rms from January 2007 to January 2015,
we nd that the sensitivity of a suppliers investment to its own stock price decreases as
the amount of private information in its customersstock prices increases. Using Llorente
et al.s (2002) information measure
4
as our measure of private information in stock
prices, we nd that for an average supplier, a one-standard-deviation increase in the level
of informed trading in its customersstocks reduces the sensitivity of a suppliers
investment to a one-standard-deviation shock to its own Tobins Q by 52%. These results
are consistent with our hypothesis that private information contained in customersstock
prices affects supplier managersinvestment decisions. Our ndings show that
managerial learning in investment policies is not limited to a rms own stock price
(Chen, Goldstein, and Jiang 2007) or peersstock prices (Ozoguz and Rebello 2013;
Foucault and Fresard 2014) but also extends to customersstock prices.
We also nd that suppliersmanagers learn new information from their
customersstock prices when they issue equity or long-term debt. Specically, for an
average supplier, a one-standard-deviation increase in its customers stock price
informativeness reduces the sensitivity of a suppliers net equity issue (net debt issue) to
a one-standard-deviation shock to its own Tobins Q by 20% (40%). These ndings
indicate that managerial learning is not limited to investment policies but it is also present
in rmslong-term capital structure policies.
2
See Section II for an in-depth literature review.
3
Hereafter, we refer to customer rm(s)as customer(s)and supplier rm(s)as supplier(s).
4
See Section III for a detailed discussion of Llorente et al.s (2002) private information measure.
508 The Journal of Financial Research

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