Product Market Threats and the Value of Corporate Cash Holdings

Published date01 August 2016
DOIhttp://doi.org/10.1111/fima.12119
Date01 August 2016
Product Market Threats and the Value
of Corporate Cash Holdings
Jianxin (Daniel) Chi and Xunhua Su
We construct a model to showthat predatory strategies by a financially strong rival can cause a
financially weak firm to underinvest. This threat intensifies when the two firms produce similar
products and share similar future investment opportunities. We show that cash holdings become
more valuable by providing liquidity to fund investment opportunities as they emerge, thereby
mitigating the underinvestment problem. Empirical evidence supports these model predictions.
The value of cash is significantly higher for firms facing higher predatory threats. The results
are robust to various controls for financial constraints, corporate governance, risk factors, and
industry-level measures of product market competition. An identification strategy that exploits
exogenous variation in financial constraints further corroborates the causal effect of predatory
threats on the value of cash.
In product markets, a financially constrained firm may face competitive threats from strong
rivals who adopt predatory strategies, such as exceptionally low prices or saturating advertising
campaigns (Telser, 1966; Bolton and Scharfstein, 1990). Subjected to these strategies, the con-
strained firm may suffer reduced cash flow and diminished ability to fully capture investment
opportunities. In the longer term, it can lose market share or even be driven out of the market al-
together. An example is the web-browser war between Microsoft and Netscape in the mid-1990s.
The Netscape web browser,Navigator, initially had more than 80% of the market share. Microsoft
then bundled its browser, Internet Explorer (IE), with Windows and effectively set the price of
IE at zero. Within a few years, IE dominated the web-browser market while Navigator suffered a
precipitous loss in market share and eventually exited the market.1
The “long-purse” theory implies that predatory threats force firms to enhance f inancial flex-
ibility. For example, the seminal study by Bolton and Scharfstein (1990) shows that a firm
with financial constraints, which emerge endogenously to reduce agency problems, is subject to
Wethank Raghu Rau (Editor) and an anonymous referee for valuablesuggestions. For helpful comments and discussions,
we also thank Fred Bereskin, Carsten Bienz, Jacopo Bizzotto, Fredrik Carlsen, Jay Coughenour, Bidisha Chakrabarty,
Saeyoung Chang, B. Espen Eckbo, LaurentFr´
esard, Mariassunta Giannetti, Stefan Hirth, Jerry Hoberg, JeyeshKhana-
pure, Naveen Khanna, Yelena Larkin, Paul Laux, Sangwon Lee, Mikko Leppamaki, Marc Lipson, Michelle Lowry,
Hsien-Hsing Liao, Xiaoxia Lou, Adrien Matray,Gordon Phillips, Nagpurnanand Prabhala, FranciscoSantos, Mike Sul-
livan, Qian Sun, PaulThistle, Karin Thorburn, Neng Wang, Han Xia, Kangzhen Xie, Lan Xu, Guoqing Zhang, and Guofu
Zhou; participants at FM Writer’sWorkshop (Venice 2015), WFA (Monterey 2014), Frontiersof Finance (Warwick2014),
Nordic FinanceResearch Workshop(Oslo 2014), FMA (Chicago 2013), AsianFA (Nanchang2013), and FRCFM (Dalian
2013); seminar participants at Delaware,Gothenburg, Nevada (Las Vegas),NHH (Bergen), NTNU (Trondheim), SHUFE
(Shanghai), and TBS (Trondheim); and especially Scott Lee. Chi gratefully acknowledges support from the National
Natural Science Foundationof China (grant number: 71172136). Su gratefully acknowledges financial support from the
NHH Corporate Finance Center. Part of the workwas done during Su’s visit at Wharton Financial Institutions Center,
kindly supported by FranklinAllen, and during Su’s stay at the NorwegianUniversity of Science and Technology (NTNU).
Jianxin (Daniel) Chi is an Assistant Professor of Financein the Lee Business School at the University of Nevada in Las
Vegas, NV. Xunhua Su is an Assistant Professor of Finance in the Department of Finance at the Norwegian School of
Economics (NHH) in Bergen, Norway.
1For a more detailed account of the browser war,see http://en.wikipedia.org/Browser_wars.
Financial Management Fall 2016 pages 705 – 735
706 Financial Management rFall 2016
predation. To reduce this predatory threat, the firm should lower the sensitivity of its investing
ability to current firm perfor mance. We argue that one way to lower this sensitivity is to accu-
mulate internal cash. Cash becomes more valuable because it provides unconditional liquidity
to readily capture investment opportunities as they emerge, thereby mitigating the competition-
induced underinvestment problem. Building upon this intuition, we study what conditions affect
the intensity of predatory threats and how predatory threats affect the value of corporate cash
holdings.
We build a model to illustrate the idea and to structure the hypotheses and empirical tests.
Consider a financially weak firm (the target or prey) competing with a financially strong rival
(the predator) over twoperiods. The target f irm’s current value consists of three parts: 1) free cash
flow that can be retained as cash at a cost or paid out as dividends, 2) noncash productive assets
that last in the first period, and 3) an investment opportunity that will emerge in the second period.
To finance the investment opportunity, the target can use cash holdings, cash flow generated in
the first period from productive assets, and external financing. If the target’s external financing
is constrained, the strong rival can adopt predatory strategies to reduce the target’s cash flow in
the first period and hence impede the target’s ability to undertake the investment opportunity. By
doing so, the predator gains market power in the second period. Facing this predatory threat, the
target’s cash holdings become more valuable because cash holdings can readily fund investment
opportunities as they emerge, thereby mitigating the underinvestment problem. Our empirical
tests provide strong evidence that predatory threats indeed raise the value of corporate cash
holdings.
The theoretical model shows two important elements that affect the level of predatory threats.
First, the costs of predation are lower when the predator’s products are similar to the target’s,
because more similar products allow the predator to more easily displace the target in the market
place. Second,the benef its from predation are larger whenthe predator shares more interdependent
investmentoppor tunities with the target,because more interdependent opportunities mean that the
predator will gain larger market share if the target underinvests.Therefore, we propose similarity
of current products and interdependence of future investment opportunities as two necessary
components of predation risk.
The model generates the following testablepredictions. First, both similarity of cur rent products
and interdependence of future investment opportunities raise the value of cash, and the effects
of these two components reinforce each other. Second, predation will occur only if the prey is
more financially constrained than the predator. Therefore, the effect of predation risk is more
pronounced for financially constrained firms.
We employ the empirical model of Faulkender and Wang (2006) to test these predictions. This
empirical model, through examining how change in cash holdings affects market valueof equity,
estimates the marginal value of cash holdings. To measure product similarity, we use product
market fluidity, constructed by Hoberg, Phillips, and Prabhala (2014). Based on textual analysis
of business descriptions in firms’ 10-K f ilings, fluidity captures the intensity that a firm’s rivals
are moving toward the firm’s product space. Higher fluidity indicates higher product similarity
and lower costs of predation. We follow Haushalter, Klasa, and Maxwell (2007) and measure
interdependence of investment opportunities by firm industry stock beta. The higher the industry
beta, the higher the interdependence of investment opportunities, and the larger the potential
benefits to the predator. In the data, fluidity and industry beta have a low correlation of 0.15,
suggesting that they capture different aspects of firms’ competitive threats.
Our empirical results confirm the model predictions. First, the value of cash is about $0.36
higher when either fluidity or industry beta is above the sample median. Second, fluidity and
industry beta reinforce each other’s effect on the value of cash—the positive effect of industry

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