Unconventional monetary policy spillovers: Evidence from India

Date01 November 2019
AuthorAiswarya Thomas,Lakshmi Kumar
Published date01 November 2019
DOIhttp://doi.org/10.1002/pa.1940
ACADEMIC PAPER
Unconventional monetary policy spillovers: Evidence
from India
Aiswarya Thomas |Lakshmi Kumar
Economics, Institute for Financial Management
and Research, Chennai, India
Correspondence
Aiswarya Thomas, Research Scholar, Institute
for Financial Management and Research, 196
Pathasarathy Gardens, TT Krishnamachari
Road, Alwarpet, Chennai 600018, India.
Email: aishwarya.thomas@ifmr.ac.in
Many of the studies on the unconventional monetary policy spillover effects
concentrated primarily on the policy announcements of the U.S. Federal Reserve.
Using a time series approach, with dummies in the event study framework, this study
estimates the monetary policy spillover effects of the unconventional monetary
policy announcements of the central banks of four major economic regions: the
United States, the United Kingdom, European Central bank, and Japan on the asset
prices in India. In addition to that, this study estimates the asymmetry in the
responses to positive and negative surprise announcements. The study reveals that
unconventional monetary surprises do not have any significant impact on the asset
prices in India in a narrow time window.
1|INTRODUCTION
The effects of unconventional monetary policy (UMP) measures have
drawn attention from both academia and policymakers. The UMP
measures were adopted by large economies like the United States, the
United Kingdom, Eurozone, and Japan to address the financial
vulnerabilities in these economies after the global financial crisis, 2008.
These measures were almost inevitable for these large economies to
combat thefinancial debacle. However,critics opine that theUMPS also
entail portfoliocapital flows to emerging marketeconomies (EMES) and
other nonUMP advanced economies, thus raising concerns in the
nonUMP economies. Historically, these concernsare motivated by the
Asian financialcrisis of 19971998partly caused by the monetary policy
fluctuations in advanced economies. Exchange rate regimes were
identified as thechief contributing factor of theinternational monetary
policy spillovers, then Mundell (1963). However, recent studies argue
that the major contributing factors of international monetary policy
spillovers are capital flows, credit growth, and bank leverages
(Rey, 2015; Chen, Filardo, He, & Zhu, 2016; Prabu, Bhattacharyya, &
Ray, 2016). These factors have become quite prominent as a result
of the unconventional monetary measures implemented by the large
advanced economies. Hence, the UMP spillovers call forth adequate
attention fromall the major nonUMP economiesincluding India.
The burgeoning literature on the UMP suggests that these
measures have exerted significant spillover effects globally (Ahmad
and Zlate, 2014; Diez & Presno, 2013; Berge & Cao, 2014). Majority
of the studies on the UMP spillovers focus on the UMP spillovers on
the asset prices of EMES in a panel framework (see, for example,
Tillman, 2016; Bowman, Londono, & Sapriza, 2015; and Chen
et al.,2015). There are also studies on the spillover effects of UMP on
large advanced economies (see, inter alia, Bauer & Neely, 2014; Rogers,
Scotti, & Wright, 2014; Glick & Leduc, 2012). However, studies on the
UMP spillovers on a single emerging market economy is very scant.
Though there are limited numbers of studies on the UMP spillovers
on the Indian asset markets, they either study a single asset price (see,
for example, Prabu et al., 2016) or they consider only the monetary
policy announcements of the Federal Reserve (see, for example, Patra,
Khundrakpam, et al., 2016). In an effort to fill in this gap, this study
estimates the impact of UMP announcements by the central banks
of four major currency areas (the United States, Euro area, United
Kingdom, and Japan) on three major asset prices (government bond
yields, equities, and exchange rates). In addition to that, this study also
tries to capture the spillover asymmetries with respect to positive and
negative surprise induced by the UMP announcements. This study
uses highfrequency data to implement an event study in appropriate
windows around the policy announcements.
Received: 11 February 2019 Accepted: 23 February 2019
DOI: 10.1002/pa.1940
J Public Affairs. 2019; :e1940.
https://doi.org/10.1002/pa.1940
© 2019 John Wiley & Sons, Ltd.
wileyonlinelibrary.com/journal/pa 1of819

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