US macroeconomic surprises and the emerging‐market sovereign CDS market

Published date01 March 2023
AuthorJunmao Chiu,Wei‐Che Tsai,Chi Yin
Date01 March 2023
DOIhttp://doi.org/10.1111/eufm.12363
DOI: 10.1111/eufm.12363
ORIGINAL ARTICLE
US macroeconomic surprises and the
emerging‐market sovereign CDS market
Junmao Chiu |Wei‐Che Tsai |Chi Yin
Department of Finance, National Sun
Yat‐sen University, Kaohsiung, Taiwan
Correspondence
Chi Yin, Department of Finance,
National Sun Yat‐sen University, 70
Lien‐Hai Rd, 80424 Kaohsiung, Taiwan.
Email: d064030001@student.nsysu.
edu.tw
Abstract
Our primary aim is to examine whether US macro-
economic surprises affect the slope of the term structure
of ‘sovereign credit default swap’(SCDS) spreads in
emerging markets. Our empirical results show that
positive (negative) US macroeconomic surprises are
likely to reduce (increase) the term structure slope of
SCDS spreads in emerging countries. We find that the
slope values in emerging markets are positively related to
future market returns over 1‐and 2‐day horizons. Our
results provide general support for the future informa-
tional role played by SCDS spreads for the national stock
market within emerging markets.
KEYWORDS
emerging markets, sovereign credit default swaps, spillover
effects
JEL CLASSIFICATION
F30, G15
Eur Financ Manag. 2023;29:549–587. wileyonlinelibrary.com/journal/eufm © 2022 John Wiley & Sons Ltd.
|
549
EUROPEAN
FINANCIAL MANAGEMENT
We would like to thank John A. Doukas (the editor) and two anonymous referees for constructive and insightful
comments that helped us significantly improve our paper. We also appreciate helpful comments and suggestions from
Joshua Aizenman (University of Southern California), Yenn‐Ru Chen (National Chengchi Univeristy), Robin K. Chou
(President of the Asian Finance Association), Ting‐Kai Chou (National Cheng Kung University), Huimin Chung
(National Yang Ming Chiao Tung University), Kewei Hou (Ohio State University), Jun‐Koo Kang (Nanyang
Technological University), Carl Shen (Macquarie University), Yung‐Ming Shiu (National Chengchi University), Jeffrey
Wang (UNSW Sydney), Yanzhi (Andrew) Wang (National Taiwan University), Jimmy Yang (Oregon State University),
Jason J. H. Yeh (The Chinese University of Hong Kong) and Min‐Teh Yu (Providence University). We want to also
thank the participants of the Conference on the Theories and Practices of Securities and Financial Markets (SFM), the
2019 Asian Finance Association Conference, the 2020 Conference on Taiwan Economic Research, the 2020 TRIA
International Conference on Risk and Insurance & Annual Meeting and the seminar participants at Beijing Normal
University and Harbin Institute of Technology for their helpful comments. We also gratefully acknowledge the funding
provided by the Ministry of Science and Technology.
1|INTRODUCTION
The various financial crises that have occurred in the past two decades—the technology bubble
of 2000, the subprime mortgage crisis of 2008 and the COVID‐19 crisis—have resulted in
financial markets becoming more volatile with severe effects on both regulators and investors
alike. Thus, there has been rapidly growing interest on hedging against risk. In particular,
serious sovereign risks associated with high levels of market uncertainty have occurred such as
the Eurozone sovereign debt crisis, the UK's withdrawal from the European Union (EU) and
the China–US trade war that have led to a boom in the markets for ‘sovereign credit default
swaps’(hereafter SCDS).
1
SCDS has become an important tool in the management of credit risk. The sell side of
SCDSs provides protection against default losses when the reference entity cannot afford to
repay the interest or the principal. SCDS buyers periodically pay premiums—calculated as the
SCDS spread multiplied by the notional amount—to receive protection during the contract
period. Based on the above characteristics, the SCDS is a suitable derivative for gauging the
possibility of upcoming market deterioration. According to the Depository Trust and Clearing
Corporation, the gross notional amount of outstanding SCDSs was roughly US $2.2 trillion at
the end of May 2010 and subsequently reached US $3.0 trillion in June 2012. The SCDS market
has shown stable growth since the gross national amount of outstanding SCDS reached US $1.7
trillion in July 2017.
Our goal is to investigate whether any relevant information is embedded in the SCDS spread
curve and whether the SCDS provides country‐specific information that influences the returns
of a stock index. Because the SCDS spread quotes have varying times to maturity, this study
focuses on the term structures of the SCDS spreads (hereafter SCDS spread slopes). The recent
literature has not only emphasized SCDS spreads but also the shape of the term structure of
those spreads. Pan and Singleton (2008) show that the SCDS spread slopes contain information
on both the arrival rates of credit events and the loss rates of given credit events, while
Augustin (2018) subsequently demonstrates that the SCDS spread slopes contain information
on cross‐sectional differences in domestic risks.
While studies have focused on the within border effect on sovereign default risk, they have
paid little attention to the cross‐border effects on that risk. For example, Chiarella et al. (2015)
find that SCDS spreads are determined by country‐specific fundamentals. H.‐Y. Chen and Chen
(2018) find that the higher the quality of country governance, then the more willing are
countries to repay their debt which thus reduces default probabilities. Jeanneret (2018) has
discovered that governments that struggle to raise fiscal revenues and that use these funds to
service their debts experience a higher probability of sovereign default risk. Thus, we argue that
whether cross‐border effects play a significant role in explaining SCDS spreads is worth
discovering and will add more related evidence to the literature in this paper.
Among all the cross‐border effects, Flannery and Protopapadakis (2002) argue that
macroeconomic variables are an ideal proxy for extra market risk factors, because
macroeconomic changes have simultaneous effects on multiple firms’cash flows and may
influence the risk‐adjusted discount rate. Patro et al. (2002) demonstrate that macroeconomic
variables significantly contribute to the risk exposure using a sample of 16 OECD (Organisation
1
A SCDS is a type of credit derivative that is created between two counterparties providing risk management for buyers
against any sovereign debt losses arising from sovereign credit events, such as default or debt restructuring.
550
|
EUROPEAN
FINANCIAL MANAGEMENT
CHIU ET AL.
for Economic Co‐operation and Development) countries. Hausman and Wongswan (2011) have
discovered that US monetary policy announcements have prominent effects on foreign equity
indexes, short‐and long‐term interest rates and exchange rates in 49 countries. Aizenman et al.
(2013) demonstrate that certain macroeconomic factors are important determinants of SCDS
spreads. On top of that, Kurov et al. (2019) have discovered appealing and persuasive evidence
of informed trading before several important macroeconomic news announcements that prove
these announcements indeed move financial markets. Cathcart et al. (2020) further posit that
news could be of more of an exogenous information nature and is ex ante to the market
reaction. All the above evidence shows that macroeconomic variables are an excellent
candidate for examining their impact on both micro‐and macro‐aspects of financial markets.
This paper aims to complement these other studies by providing comprehensive evidence
regarding the cross‐border effect of macroeconomic news on sovereign default risk. We
contribute to the SCDS literature by exploring whether US macroeconomic surprises affect the
slopes of SCDS spreads in emerging markets. Our analysis uses a sample with a total of 19
emerging countries: seven in the Asia‐Pacific (APAC) region; five in the Americas (AMER);
and a total of seven in Europe, the Middle East and Africa (EMEA). The sample covers the
period from 2008 to 2020. Our research is driven by a specific strand in the literature that
demonstrates that the macroeconomic announcements of the world's major economies affect
not only their domestic financial markets but also the financial markets of other nations,
particularly if those nations are in emerging markets.
2
Furthermore, global integration can cause uncertainties for major economies that have
spillover effects on emerging economies. As argued by Longstaff et al. (2011) and Dieckmann
and Plank (2012), there are commonalities between SCDS spreads and the influence of
common global risk factors that relate to economic performance in the United States. Harju and
Hussain (2011) have also stated that US macroeconomic news has cross‐border effects while
Caselli et al. (2016) have shown SCDS spreads give an informational advantage to the financial
community. Hence, we naturally consider whether there are spillover effects from US
macroeconomic surprises on SCDS pricing within emerging markets. To enhance our
understanding of such effects, we further examine the effects of the informational content in
the slopes of SCDS spreads on the future returns of the market index.
We first consider up to nine types of US macroeconomic indicators: the unemployment rate,
retail sales, building permits, consumer confidence, personal spending, the purchasing
managers' index, gross domestic product (GDP) advance, leading indicators and durable orders.
We have collected the data that are used to measure the forecast values of prescheduled
macroeconomic announcements and actual announcement values from Thomson Reuters
Datastream. We have followed the approach of Kim et al. (2015) to categorize macroeconomic
surprises as exogenous variables of good or bad news and then specified an ‘exponential
generalized autoregressive conditional heteroscedastic’(EGARCH) model to determine
whether the good or bad news announcements influence the slopes of the SCDS spreads in
emerging markets. Our empirical results show that good (bad) surprises from US
macroeconomic news announcements reduce (increase) the level of and variance in the slopes
of the SCDS spreads that thereby providing support for the argument that macroeconomic news
surprises have spillover effects on the term structures of SCDS spreads in emerging markets.
2
Examples include Beckeret al. (1995), Bekaert and Harvey (1997), Nikkinen and Sahlström (2001), Hanousek et al.
(2009) and Hayo et al. (2010).
CHIU ET AL.EUROPEAN
FINANCIAL MANAGEMENT
|
551

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex

Unlock full access with a free 7-day trial

Transform your legal research with vLex

  • Complete access to the largest collection of common law case law on one platform

  • Generate AI case summaries that instantly highlight key legal issues

  • Advanced search capabilities with precise filtering and sorting options

  • Comprehensive legal content with documents across 100+ jurisdictions

  • Trusted by 2 million professionals including top global firms

  • Access AI-Powered Research with Vincent AI: Natural language queries with verified citations

vLex