Do country risk and financial uncertainty matter for energy commodity futures?

DOIhttp://doi.org/10.1002/fut.21976
AuthorDonald Lien,Chi‐Chuan Lee,Chien‐Chiang Lee
Date01 March 2019
Published date01 March 2019
Received: 4 November 2017
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Revised: 24 September 2018
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Accepted: 24 September 2018
DOI: 10.1002/fut.21976
RESEARCH ARTICLE
Do country risk and nancial uncertainty matter for
energy commodity futures?
ChienChiang Lee
1
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ChiChuan Lee
2
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Donald Lien
3
1
Department of Finance, National Sun
Yatsen University, Kaohsiung, Taiwan
2
Institute of Development, Southwestern
University of Finance and Economics,
Chengdu, China
3
Department of Economics, College of
Business, University of Texas at San
Antonio, San Antonio, Texas
Correspondence
Donald Lien, Department of Economics,
College of Business, University of Texas at
San Antonio, San Antonio, TX 78249.
Email: Don.Lien@utsa.edu
Funding information
Ministry of Science and Technology of
Taiwan, Grant/Award Number: MOST
1062918I110002
Abstract
Using an instrumental variable quantile regression technique, this paper
assesses whether country risk and financial uncertainty exert an impact on
energy commodity futures prices under different commodity conditional return
distributions over the period from January 1994 to July 2017. We also discuss
whether the correlations change with different dimensions of country risk, that
is economic, financial, and political. The results reveal that country risk and
financial stress do have a significant impact on energy commodity returns of
futures contracts with different maturities, but their direction, intensity, and
significance differ, caused by the distinct market situations and divergent
channels of country risk.
KEYWORDS
country risks, energy commodity futures, financial uncertainty, instrumental variable quantile
regression
JEL CLASSIFICATION
C31, C58, G13, Q43
1
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INTRODUCTION
This paper extends the existing literature on the rapidly growing energy futures markets by examining how different
dimensions of country risks (economic risk, financial risk, and political risk) and financial uncertainty affect three major
energy commodity futures (crude oil, heating oil, and natural gas). We utilize International Country Risk Guide (ICRG) data
and an instrumental variable quantile regression (IVQR) to assess the effects of country risks on energy commodity futures
under different commodity conditional return distributions over the period from January 1994 to July 2017. This topic
deserves a valuable investigation, because environmental risk, for example, political stability, economic volatility, nancial
turbulence, and so forth impacts the investment behavior of commodity traders, thereby altering commodity prices.
It is widely recognized that many economic activities consider energy as the most important required input in the
productive process and as the economy is driven by increasing energy demands (Doran & Ronn, 2008; Gatfaoui, 2016;
Lee, Lee, & Ning, 2017). As energy commodity price continue soaring and fluctuating, energy commodity futures have
experienced an impressive increase in nancial investor demand to hedge price risk (Karali & Ramirez, 2014; Koch,
2014; Lubnau & Todorova, 2015). Under this trend of transformation, companies and institutions, investors and risk
managers, as well as scholars are now facing more and more challenges not only from selecting the adequate
instrument but also from making risk management strategy. In addition, empirical evidence has identified the impact of
energy markets on the financial market through different channels of shocks such as price, volatility, liquidity, and
economic events (Aspergis & Miller, 2009; Lee & Lee, 2018b; Narayan & Gupta, 2015). These mechanisms have been
widely discussed and even become one of the key topics in the currently existing literature.
J Futures Markets. 2019;39:366383.wileyonlinelibrary.com/journal/fut366
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© 2018 Wiley Periodicals, Inc.
The large inow of investment into energy commodity markets has increased the linkage between commodity and
nancial markets over the past few decades and generated a heated debate on the impacts of macroeconomic fluctuations
and nancial factors on commodity prices (DEcclesia, 2016; Narayan, Narayan, & Sharma, 2013; Reboredo & Uddin,
2016). Many analysts argue that nancialization substantially influences energy commodity prices, because of increased
speculation inthe markets affecting volatility and informationsharing (Adams & Glück, 2015; Büyükşahin & Robe, 2014).
Following this vein, Henderson, Pearson, and Wang (2015) examine the impact of the flows of financial investors on
commodity futures prices and find evidence that noninformationbased financial investments have significant impacts on
commodity prices. Manera, Nicolini, and Vignati (2016) analyze the roleof nancial speculation in modeling thevolatility
of commodity futures prices and document that speculation significantly affects return volatility.
Compared with nancialization wisdom, recent market experience highlights the importance of deepening our
understanding of environmental uncertainty in changing stock and commodity prices. Financial uncertainty and
political uncertainty have been largely considered as main drivers of macroeconomic performances and are strongly
correlated with stock returns through supplyside and demandside channels (Pástor & Veronesi, 2012). Previous
studies highlight that financial uncertainty increase the risk that investors perceive when making risk and portfolio
decisions. Given that commodity futures generally serve as a hedge assets or a safe haven in extreme market conditions,
financial uncertainty may be transmitted to commodity prices via portfolio rebalancing. Connolly, Stivers, and Sun
(2007) investigates how comovement between stock and bond returns varies with stock uncertainty, as measured by the
Chicago Board Options Exchange (CBOE) Volatility Index (VIX), and finds evidence that it negatively impacts these
returns. From the financial stress perspective, Naifar and Hammoudeh (2016) indicate that a higher financial stress
indicator is negatively correlated with stock returns. In addition, Yin and Han (2014) distinguish two types of
macroeconomic uncertainty, policyrelated uncertainty and equitymarketrelated uncertainty, and show that increases
in the volatilities of both policyrelated uncertainty and equitymarketrelated uncertainty lead to positive returns and a
higher level of commodity market volatility. In contrast, increased commodity market volatility only causes higher
policy uncertainty, but exerts no impact on equity uncertainty. Differently, Reboredo and Uddin (2016) examine the
impact of nancial stress and policy uncertainty on the price dynamics of commodity futures and indicate that stock
market uncertainty is not crucial in determining commodity futures prices, while financial stress has a negative
contribution to commodity prices.
Although the behavior of commodity prices has been extensively analyzed in the empirical literature, an important
external factor, country risks, has not yet received appropriate attention. From the perspective of asset pricing,
theoretical and empirical studies have explicitly linked country risk and expected equity returns (see, e.g., Bekaert,
Harvey, Lundblad, & Siegel, 2016; Diamonte, Liew, & Stevens, 1996; Erb, Harvey, & Viskanta, 1996; Mariscal & Lee,
1993). That is, country risk is priced in equity returns. As Brooks, Zhang, and Bheenick (2007) note, a simple technique
to characterize country risk is in the context of the capital asset pricing model (CAPM). Earlier studies conducted by
Mariscal and Lee (1993) introduce the country risk variable measured by the spreads of sovereign bonds to the modified
version of international CAPM. As an alternative to the sovereign spread adjustments, Erb et al. (1996) employ the
surveybased country credit rating to infer expected returns and show that country risk generally contains information
on future equity returns. In addition, country risk has been closely watched by investors, portfolio managers,
policymakers, particularly in the wake of the recent global financial crisis. We therefore hypothesize that country risk is
an important factor to influence commodity futures returns.
Country risk reects the economic strengths, political stability, and the ability and willingness of a country to service
its financial obligations from a forwardlooking perspective. Awareness has grown that a detailed knowledge of the role
of country risk in financial markets is required to have a proper understanding of its transmission mechanism. Much
attention has been paid to the relationship between country risks and economic activities (Bahadir & Valev, 2015;
Brückner & Gradstein, 2015; Lee & Lee, 2018a; C. Liu, Sun, Chen, & Li, 2016). Although there are some studies
addressing the relationship between commodity prices and the economic policy uncertainty index (Reboredo & Uddin,
2016), the nature of country risk is rather divergent, and cannot be reected in one single dimension. Up to now, there
is no good understanding of the sources of vulnerability and the awareness of determinants of country risk is lacking. It
remains unknown whether different types of country risk have similar impacts on commodity future price returns. In
an attempt to ll the gap in the literature, this paper looks at the dynamic relationship between energy commodity
futures (crude oil, heating oil, natural gas) and country risks using multifaceted indicators.
The contributions of this paper are fivefold. First, we simultaneously examine the impact of country risk and
nancial uncertainty on the price dynamics of commodity futures in energy markets, which is not explored in prior
studies. Second, with a particular emphasis on its impact on energy commodity futures, country risk is generally
LEE ET AL.
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