The spillover effects of U.S. monetary policy on emerging market economies

Published date01 July 2019
AuthorGeun‐Young Kim,Hail Park,Peter Tillmann
Date01 July 2019
DOIhttp://doi.org/10.1002/ijfe.1720
RESEARCH ARTICLE
The spillover effects of U.S. monetary policy on emerging
market economies
Peter Tillmann
1
| GeunYoung Kim
2
| Hail Park
3
1
Faculty of Economics and Business
Studies, Justus Liebig University Giessen,
Giessen, Germany
2
Research Department, Bank of Korea,
Seoul, Republic of Korea
3
Department of International Business
and Trade, Kyung Hee University, 26,
Kyungheedaero, Dongdaemungu, Seoul
02447, Republic of Korea
Correspondence
Hail Park, Department of International
Business and Trade, Kyung Hee
University, 26, Kyungheedaero,
Dongdaemungu, Seoul 02447, Republic of
Korea.
Email: hailpark@khu.ac.kr
JEL Classification: E58; F32; F42
Abstract
The recent implementation of unconventional monetary policies in advanced
economies and the preparations for an eventual return to normalization have
renewed the interest in spillover effects of monetary policy on emerging
market economies. This paper estimates a series of VARX models for a set of
10 emerging economies, that is, VARs in which U.S. policy enters exogenously.
The contribution of this paper is (a) to use an identified shock component
of the U.S. (shadow) federal funds rate as a consistent policy instrument for
conventional and unconventional policies, (b) to account for changes in the
transmission of U.S. monetary policy over time, and (c) to quantify asymmetries
in the transmission of tightening and easing shocks. The results point to sub-
stantially nonlinear and asymmetric spillover effects, which pose challenges
to policymakers.
KEYWORDS
Asymmetries, conventionalunconventional monetary policy, emerging markets, spillovers, VARX
model
1|INTRODUCTION
Monetary policy responses to the global financial crisis can
shed light on the spillover effects of monetary policy to
emerging economies. When the Federal Reserve (Fed)
adopted a series of unconventional monetary policies
known as quantitative easing (QE) and forward guidance
in 2008, the side effects were transmitted through global
financial markets. In particular, emerging economies felt
the surge in liquidity after the adoption of QE. In 2014,
the Fed has eventually unwound its asset purchases
(tapering) after announcing the tapering in 2013 and is
expected to liftoffthe federal funds rate in the near
future, that is, the Fed is about to normalize its monetary
policy soon.
Spillover effects pose major challenges to policymakers
in emerging countries (Q. A. Chen, Filardo, He, & Zhu,
2015; J. Chen, ManciniGriffoli, & Sahay, 2014; Lavigne,
Sarker, & Vasishtha, 2014; MacDonald, 2015; Tillmann,
2015). The flood of liquidity under QE is believed to lead
to an easing of monetary conditions, a surge in asset prices,
and domestic currency appreciations. Furthermore, abun-
dant liquidity is raising financial stability concerns. Many
central banks and regulators have responded to this by a
monetary tightening and/or the use of macroprudential
policy tools. The reversal of capital flows after 2014 has
led to a sharp depreciation and a drop in asset prices in
emerging market economies. In order to choose the right
policy response, understanding the nature of these spill-
overs is essential.
This paper presents a large collection of findings on the
nature of spillover effects. We empirically quantify the
recent spillover effects and make four contributions. First,
we focus on the effects of both conventional and uncon-
ventional monetary policy. This is accomplished by using
the identified shock component of the (shadow) federal
funds rate as a measure of U.S. monetary policy, which
allows us to estimate a consistent model under both policy
Received: 15 May 2017 Revised: 23 March 2018 Accepted: 4 January 2019
DOI: 10.1002/ijfe.1720
Int J Fin Econ. 2019;24:13131332. © 2019 John Wiley & Sons, Ltd.wileyonlinelibrary.com/journal/ijfe 1313
regimes. Second, we study the notion of a New Normal,
that is, a change in the pattern of spillovers after the finan-
cial crisis by comparing a precrisis and a postcrisis regime.
Third, we allow for tightening and easing measures to have
different effects. This enables us to quantify the asymmet-
ric nature of the spillover effects. Fourth, we relate the
strength of the spillover effects to the macroeconomic fun-
damentals of emerging market economies. As a result, we
can identify which particular form of weakness gives rise
to a large exposure to U.S. policy shocks.
Our main empirical tool for the analysis of policy
transmission is a vector autoregression (VAR) model of
standard financial variables of emerging markets, which
we augment by introducing an exogenous change in U.
S. monetary policy. The fact that U.S. policy enters exog-
enously transforms the model into a VARX model. In
order to focus on unexpected changes in U.S. monetary
conditions, we estimate an auxiliary VAR model for the
U.S. economy and feed the identified policy shock into
the VARX model for emerging market economies. From
the perspective of a prototypical emerging economy, U.S.
monetary policy can clearly be considered exogenous.
Rather than estimating a panel model for a large set of
emerging market economies, this paper estimates a series
of countryspecific timeseries VARX models. We think
this approach is better able to shed light on the large
degree of heterogeneity across countries.
We find that spillovers are divergent. Both the sign and
the size of spillovers changed over regime. We do not find,
however, that spillovers are systematically higher post
2008. There are not only structural breaks over time but
also asymmetries as regards the sign of the policy shock
itself. In many countries, the spillovers after a tightening
shock and an easing shock in the U.S. differ in terms of
their absolute magnitude and their dynamics. From them,
fundamentally weak economies appear to suffer from
stronger spillovers than fundamentally strong economies.
The results are relevant for policymakers in emerging
economies: Our findings suggest that not all spillovers are
equal. To the extent spillovers are asymmetric, the appro-
priate policy response cannot be linear. For example, if
macroprudential policies are considered to offset the con-
sequences of unwarranted spillover effects, these instru-
ments have to be adjusted to be an efficient tool to
contain the effects of U.S. policy shocks. In light of our
results, the need to finetune macroprudential policies
challenges the efficient design of appropriate policies.
The interest rate liftoff and the subsequent return to an
interest rate policy are likely to lead to renewed tensions
in emerging market economieswhich will put policies
to a test. Our results show that strong macroeconomic
fundamentals are the best way to make emerging econo-
mies less vulnerable to spillovers.
The main contribution of this paper is the use of an
estimation framework that (a) allows for a consistent
comparison of the effects of conventional and unconven-
tional policies and (b) offers a maximum degree of flexi-
bility. This flexibility pertains to the distinction between
tightening and easing shocks and the role of structural
breaks. On element of this, among many others, is the
use of a consistent notion of shocks.
This paper proceeds as follows. Section 2 introduces
the VARX model, which is our main modelling frame-
work. The main results are presented in Section 3.
Section 4 offers a concluding summary and draws policy
implications.
2|AVARX MODEL OF
MONETARY SPILLOVERS
To estimate the spillover effects of U.S. monetary policy
on emerging economies, we estimate a series of VARX
models, that is, VAR models augmented by an exoge-
nous variable. Shocks to the exogenous variable are
the focus of our study. VARX models have recently
been used in the literature: Bassett, Chosak, Driscoll,
and Zakrajsek (2010) feed an exogenous credit supply
shock in an otherwise standard VAR model of the
U.S. economy to study the effects of an exogenous
change in lending. T. Wu and Cavallo (2012) include
an exogenous oil price shock in a VAR system. In a
paper similar in focus to ours, Miyajima, Mohanty, and
Yetman (2014) estimate a panel VAR model of Asian
economies where monetary policy in the U.S. enters as
an exogenous variable. Compared with their paper, we
offer a unifying perspective on conventional and uncon-
ventional monetary policy and also allow for shifts in
the strength of policy transmission over time. We also
prefer a countrybycountry perspective over a panel in
order to link the strength of the transmission to eco-
nomic fundamentals.
In our model, the vector of the first differences of n
endogenous variables, Y
t
, is determined as follows
Yt¼A0þALðÞYtþb×ΔRUS
tþεt;
where A(L) is a polynomial in the lag operator. A mea-
sure of U.S. monetary policy is included as an exogenous
variable, ΔRUS
t. The impact effect of U.S. policy on the
endogenous variables is reflected by the vector b.
1
Because the stance of U.S. policy is clearly exogenous
from the perspective of an emerging market economy,
and we are interested in the endogenous responses to exog-
enous policy only, there is no need for further identifying
assumptions. Hence, we do not intend to identify other
1314 TILLMANN ET AL.

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