CASH FLOWS, CURRENCY RISK, AND THE COST OF CAPITAL
Author | Ou Hu,Ding Du |
Date | 01 June 2014 |
Published date | 01 June 2014 |
DOI | http://doi.org/10.1111/jfir.12032 |
CASH FLOWS, CURRENCY RISK, AND THE COST OF CAPITAL
Ding Du
Northern Arizona University
Ou Hu
Youngstown State University
Abstract
Currency fluctuations can affect firms’cash flows. There is evidence that cash flows are
related to a covariance risk factor in global stock markets. Taken together, these two lines of
research suggest that the underlying link between currency movements and stock returns
may be the cash flow. We test this transmission mechanism with the mimicking portfolio
approach. Empirically, we find that our test assets have significant exposure to the currency
factor‐mimicking portfolio and this factor carries a significant and positive risk premium.
JEL Classification: F31, G12, G15
I. Introduction
We examine whether currency risk affects stock returns through its impact on cash flows.
Our investigation is motivated by the following two lines of research. First, Shapiro
(1974), Dumas (1978), and Levi (1990) suggest that currency fluctuations can affect
firms’cash flows. Second, Hou, Karolyi, and Kho (2011) recently find that cash flows are
related to a covariance risk factor in global stock markets. More specifically, Hou,
Karolyi, and Kho find that their cash‐flow factor‐mimicking portfolio always carries an
economically and statistically significant risk premium even after controlling for variation
in the cash flow characteristic.
Empirically, following the recent literature (e.g., Kolari, Moorman, and
Sorescu 2008), we use the factor‐mimicking portfolio approach of Fama and French
(1992, 1993) to construct the currency risk factor. As we discuss in Section II, this
approach has a number of advantages compared to using exchange rate changes. More
specifically, we construct a zero‐investment portfolio that takes long positions in stocks
whose cash flows are sensitive (in absolute value) to currency movements and short
positions in stocks whose cash flows are insensitive to currency fluctuations. We refer to
this factor as XMI (or sensitive minus insensitive). If currency risk affects stock returns
through its impact on cash flows, we expect that XMI helps explain the cross‐section of
stock returns. That is, we expect that many assets have significant exposure to XMI, and
that XMI carries a significant risk premium.
We thank the editors Scott Hein, Jeff Mercer, and Drew Winters for their valuable suggestions. The insightful
comments of an associate editor and an anonymous referee helped substantially improve the quality of this paper.
The responsibility of any remaining errors is ours.
The Journal of Financial Research Vol. XXXVII, No. 2 Pages 139–158 Summer 2014
139
© 2014 The Southern Finance Association and the Southwestern Finance Association
RAWLS COLLEGE OF BUSINESS, TEXAS TECH UNIVERSITY
PUBLISHED FOR THE SOUTHERN AND SOUTHWESTERN
FINANCE ASSOCIATIONS BY WILEY-BLACKWELL PUBLISHING
To test our conjecture, we use the time‐series regression approach of Fama and
French (1996) to estimate currency exposure and the cross‐sectional regression
methodology of Fama and MacBeth (1973) to estimate currency risk premium. Our
empirical results can be easily summarized. We find that, indeed, many of our test assets
have significant exposure to XMI, and XMI carries a statistically and economically
significant risk premium. We perform extensive robustness checks in Section III to ensure
that our results are not spurious.
The present article contributes to the literature in two ways. First, in international
finance, the evidence that currency risk helps explain the cross‐section of stock returns is
still limited. The majority of empirical studies find that only low proportions of U.S.
stocks have significant currency exposure and currency risk is not priced (e.g.,
Jorion 1990, 1991; Bartov and Bodnar 1994; Chow, Lee, and Solt 1997; Griffin 2002; Du
and Hu 2012). Bartram, Brown, and Minton (2010) thus argue that firms use (financial)
hedging to greatly reduce currency exposures. One exception is Francis, Hasan, and
Hunter (2008). By using a conditional asset pricing model, Francis, Hasan, and Hunter
find that currency risk affects the cost of capital of U.S. industry portfolios. The present
article strengthens Francis, Hasan, and Hunter by providing new supporting evidence of
currency risk in the equity market from a different perspective. That is, we focus not on
time variation in currency risk premium and exposure, but rather on the cash‐flow link
between currency movements and stock returns. Thus, the second and a more important
contribution is that we provide evidence that the underlying link between stock returns
and currency movements is the cash flow. This finding is not only new to the literature but
also plausible given the findings in Shapiro (1974), Dumas (1978), Levi (1990), and Hou,
Karolyi, and Kho (2011).
II. Data and Empirical Methodology
Data
We employ the cash flow measure that is commonly used in the literature (e.g.,
Lakonishok, Shleifer, and Vishny 1994; Fama and French 1996; McLean and
Zhao forthcoming). More specifically, cash flow is total earnings before extraordinary
items, plus equity’s share of depreciation, plus deferred taxes (if available). Following
McLean and Zhao (forthcoming), we standardize cash flows by total assets. For
robustness, we also standardize cash flows by sales or do not standardize cash flows at all.
In all cases, our results do not change qualitatively. The quarterly accounting data are
obtained from the Compustat database.
Following Francis, Hasan, and Hunter (2008), we focus on all NYSE, AMEX,
and NASDAQ stocks in the 36 industries that are most likely to be affected by currency
risk for the sample period from July 1980 to December 2008.
1
The monthly stock returns
data are obtained from the Center for Research in Security Prices (CRSP).
1
The 36 industries are made up of 31 traded‐goods (manufacturing) industries and 5 non‐traded‐goods
industries (entertainment, construction, meals, retail goods, and banking).
140 The Journal of Financial Research
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