The expected investment growth premium
Published date | 01 December 2021 |
Author | Jun Li,Huijun Wang,Jianfeng Yu |
Date | 01 December 2021 |
DOI | http://doi.org/10.1111/fima.12340 |
DOI: 10.1111/fima.12340
ORIGINAL ARTICLE
The expected investment growth premium
Jun Li1Huijun Wang2,3Jianfeng Yu4
1Department of Finance and Managerial
Economics, University of Texasat Dallas,
Richardson, Texas,USA
2Harbert College of Business, Auburn
University, Auburn, Alabama, USA
3Department of Finance, Faculty of Business
and Economics, University of Melbourne,
Melbourne, Australia
4PBCSF, TsinghuaUniversity, Haidian District,
Beijing, China
Correspondence
JianfengYu, PBCSF,Tsinghua University,
HaidianDistrict, Beijing, China, 100083.
Email:yujf@pbcsf.tsinghua.edu.cn
Abstract
We propose a novel measure of investment plans, namely
expected investmentgrowth (EIG), and find stocks with high
EIG outperform stocks with low EIG by 17% per annum. This
premium can be generated in a neoclassical model with the
investment plan friction, in which a firm’s expected returns
increases with its planned investment due to an embedded
leverage effect. We provideempirical evidence on the inter-
action of the cash flow effect and discount rate effect in driv-
ing this EIG premium. Our findings highlight the investment
plan friction as an important economic channel to under-
stand the cross-sectional risk premium.
1INTRODUCTION
Investment plans, that is, investment lags between the investment decision and the actual capital expenditure,have
been shown to be important in understanding economic fluctuations and the stock market.Cochrane (1991)andLam-
ont (2000) argue that the friction of investment plans can help to explain the weak empirical correlation between
aggregate investment and future stock returns, a finding that is inconsistent with the q-theory of investment. In the
presence of this friction, firms initiate larger investment plans following a negative shock to the discount rate,but the
actual capital expenditureonly materializes with a lag. Therefore, it should be the investment plan rather than the real-
ized investment that negativelypredicts market returns. While it is tempting to extend this discount rate argument to
the cross section and predict a lower expected return for firms with larger investment plans, this prediction fails to
take into account the important role of cash flow news at the firm level (e.g.,Vuolteenaho, 2002). In a firm’s optimiza-
tion problem, stock returns, investment decisions, and risk premium are all endogenous in response to firm-specific
cash flow news.
In this paper,we examine the relation between investment plans and stock returns in the cross section. Since firm-
level investmentplans are unobservable, we propose a novel measure, namely the expected investment growth (EIG),
byprojecting the firm-level investment growth onto prior stock returns, Tobin’sq, and cash flows that have been shown
© 2021 Financial Management Association International
Financial Management. 2021;50:905–933. wileyonlinelibrary.com/journal/fima 905
906 LI ET AL.
to predict future investment (e.g., Barro, 1990; Morck et al., 1990; Fazzari et al., 1988)1and constructing EIG as the
out-of-sample predicted investment growth. We compare EIG to the future realized investment growth to validate
it as a measure for investment plans. In the EIG decile portfolios, the difference in the average realized investment
growth between high and low EIG firms is quantitatively comparable to the spread of EIG itself, with EIG explaining
more than 80% of the cross-sectional variation in the future investment growth. Beyond the EIG deciles, our invest-
ment plan measure also captures the investment behavior of a much broader set of portfolios, including portfolios
sorted by size, book-to-marketratio, momentum, as well as industry classification.
Using this investment plan measure, we find that high EIG firms earn higher future returns than low EIG firms, in
contrast to the negative relation between investment plans and stock returns at the aggregate level.In the U.S. sam-
ple between August 1972 and December 2016, a long–short portfolio based on EIG generates an annualized return
of 17% that cannot be captured by leading asset pricing factor models, including the more recent Fama and French
(2015) five-factor model. The EIG premium persists in Fama–MacBeth regressions and alternative sample selections.
More importantly, the return predictive power of EIG is beyond that of the constituents of EIG. When we directly
project the EIG premium on the premiums associated with momentum, q, and cash flow, the abnormal return remains
highly significant. Further,when we construct the expected sales growth and expected gross profit growth following
the same procedure as we construct EIG, the corresponding expectedsales growth premium and expected gross profit
growth premium are substantially weaker than the EIG premium. These results together highlight the distinct role of
investment and suggest that the investment plan friction is an important economic channel for how variables such as
momentum, q, and cash flow are associated with the cross-sectional risk premium.
Tobetter understand the EIG premium, we develop a neoclassical model with the investment plan friction. In the
model, firms are endowed with one asset-in-place and an option to expandits production capacity. A key assumption is
thattheassetexpansion needs to be planned ahead and is costly to reverse, which is consistent with previous empirical
findings that firms rarely cancel planned projects.2We show that the existence of this investment friction creates a
leverage effect that makes the value of planned investment more sensitive to the economic condition than that of
existing assets. In the cross section, firms with positive idiosyncratic productivity shocks initiate larger investment
plans because of the positive cash flow effect. Meanwhile, the planned investment also raises the discount ratefrom
the embedded leverage. The interaction of the endogenous cash flow effect and discount rate effect gives rise to a
positive cross-sectional relation between investmentplans and the risk premium.
Weprovide empirical evidence for the economic mechanism in the neoclassical model. First, compared to firms with
low EIG, high EIG firms havehigher future sales growth and gross profits growth several years into the future, indicat-
ing a strong incentive for these firms to expand their production capacity.Second, in addition to this cash flow effect,
theplanned investment also increases the risk premium, and we find that higher EIG is associated with higher cash flow
sensitivity to the economic growth. Furthermore,investment is sizable compared with operating income, and the elas-
ticity of cash flow (operating income minus investment)to operating income increases monotonically with EIG. These
results suggest that the planned investment creates a leverage effect that makeshigh EIG firms riskier than low EIG
firms. Third, the cross-sectional heterogeneity in risk exposures across EIG portfolios also appears in stock returns.
A linear factor model with the market factor and economic growth (measured by industrial production growth, gross
domestic product growth, or aggregate consumption growth) as the risk factors can well explain the averagereturns
of EIG portfolios. Lastly, we find that the EIG premium is substantially larger in industries with greater investment
irreversibility and longer project durations, consistent with the important role of the investment plan friction in our
neoclassical model.
1Corporate investmentplans have many important aspects, such as the selection of investment projects, the determination of project locations, durations,
and starting time, the hiring decision, as well as the allocation of funds among different projects. Throughout this paper,we follow Lamont (2000)andfocus
onthe overall capital expenditure and define a firm’s investment plan as the planned growth rate of investment in the subsequent year.
2Thereis considerable evidence that investment is to a large extent irreversible at the plant and firm level;see, for example, Caballero et al. (1995), Doms and
Dunne(1998), and Ramey and Shapiro (2001).
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