Multiscale dependence, spillovers, and connectedness between precious metals and currency markets: A hedge and safe-haven analysis

被引:39
作者
Mensi, Walid [1 ,2 ]
Ali, Syed Riaz Mahmood [3 ]
Vo, Xuan Vinh [4 ]
Kang, Sang Hoon [5 ,6 ,7 ]
机构
[1] Sultan Qaboos Univ, Coll Econ & Polit Sci, Dept Econ & Finance, Muscat, Oman
[2] Univ Econ Ho Chi Minh City, Inst Business Res, Ho Chi Minh City, Vietnam
[3] Univ Turku, Turku Sch Econ, Dept Accounting & Finance, Rehtorinpellonkatu 3, Turku 20500, Finland
[4] Univ Econ Ho Chi Minh City, Inst Business Res, Ho Chi Minh City, Vietnam
[5] Pusan Natl Univ, PNU Business Sch, Busan, South Korea
[6] Univ South Australia, UniSA Business, Adelaide, Australia
[7] Pusan Natl Univ, PNU Business Sch, Jangjeon2 Dong, Busan 609735, South Korea
基金
新加坡国家研究基金会;
关键词
Precious metals; Currencies; Safe haven; Frequency spillovers; COVID-19; ECONOMIC-POLICY UNCERTAINTY; GOLD; COMMODITY; STOCKS; RISK; OIL;
D O I
10.1016/j.resourpol.2022.102752
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In this study, we examine the frequency volatility spillovers, connectedness, and quantile dependence between precious metals futures (gold, palladium, platinum, and silver) and the main US foreign exchange rates of Australia, Canada, China, Eurozone, Japan, Switzerland, and the UK. We use them as a hedging tool for developed currency markets. We further investigate the key drivers of frequency spillovers, before and during COVID-19, and the property of precious metals as a hedge and safe haven against currency risk exposure. We performed the quantile coherency analysis and found that the dependence is positive among the currencies and negative between currencies and precious material in most cases. Using the time-frequency spillovers analysis, we show that gold and silver are net transmitters of spillover to the other markets; however, palladium is a net receiver of spillover for all three horizons. The EUR is a net contributor of risk regardless of the time horizon. Using the quantile regression model, we demonstrate that the effect of the West Texas Intermediate crude oil price (WTI), Economic Policy Uncertainty (EPU) index, volatility index (VIX), and USD index (USDX) on total spillover varies over quantiles in terms of magnitude and direction. Finally, we show that all precious metals can be used as a strong hedge against these major currencies.
引用
收藏
页数:21
相关论文
共 46 条
[1]   The volatility connectedness of the EU carbon market with commodity and financial markets in time- and frequency-domain: The role of the US economic policy uncertainty [J].
Adekoya, Oluwasegun B. ;
Oliyide, Johnson A. ;
Noman, Ambreen .
RESOURCES POLICY, 2021, 74 (74)
[2]   How COVID-19 upturns the hedging potentials of gold against oil and stock markets risks: Nonlinear evidences through threshold regression and markov-regime switching models [J].
Adekoya, Oluwasegun B. ;
Oliyide, Johnson A. ;
Oduyemi, Gabriel O. .
RESOURCES POLICY, 2021, 70
[3]   How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques [J].
Adekoya, Oluwasegun B. ;
Oliyide, Johnson A. .
RESOURCES POLICY, 2021, 70
[4]   Is gold a hedge or a safe-haven asset in the COVID-19 crisis? [J].
Akhtaruzzaman, Md ;
Boubaker, Sabri ;
Lucey, Brian M. ;
Sensoy, Ahmet .
ECONOMIC MODELLING, 2021, 102
[5]   Does the US economic policy uncertainty connect financial markets? Evidence from oil and commodity currencies [J].
Albulescu, Claudiu Tiberiu ;
Demirer, Riza ;
Raheem, Ibrahim D. ;
Tiwari, Aviral Kumar .
ENERGY ECONOMICS, 2019, 83 :375-388
[6]   Dynamic spillovers between commodity and currency markets [J].
Antonakakis, Nikolaos ;
Kizys, Renatas .
INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2015, 41 :303-319
[7]   Measuring Economic Policy Uncertainty [J].
Baker, Scott R. ;
Bloom, Nicholas ;
Davis, Steven J. .
QUARTERLY JOURNAL OF ECONOMICS, 2016, 131 (04) :1593-1636
[8]   Quantile coherency: A general measure for dependence between cyclical economic variables [J].
Barunik, Jozef ;
Kley, Tobias .
ECONOMETRICS JOURNAL, 2019, 22 (02) :131-+
[9]   Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk [J].
Barunik, Jozef ;
Krehlik, Tomas .
JOURNAL OF FINANCIAL ECONOMETRICS, 2018, 16 (02) :271-296
[10]   Gold, oil, and stocks: Dynamic correlations [J].
Barunik, Jozef ;
Kocenda, Evzen ;
Vacha, Lukas .
INTERNATIONAL REVIEW OF ECONOMICS & FINANCE, 2016, 42 :186-201