Quantile spillovers and connectedness analysis between oil and African stock markets?

被引:24
作者
Mensi, Walid [1 ,2 ,4 ]
Vo, Xuan Vinh [3 ]
Kang, Sang Hoon [5 ]
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 Econ Ho Chi Minh City, Inst Business Res, Ho Chi Minh City, Vietnam
[4] Univ Econ Ho Chi Minh City, CFVG, Ho Chi Minh City, Vietnam
[5] Pusan Natl Univ, PNU Business Sch, Busan 46241, South Korea
基金
新加坡国家研究基金会;
关键词
African markets; Oil; Spillovers; Quantiles; IMPULSE-RESPONSE ANALYSIS; GLOBAL FINANCIAL CRISIS; PRICE SHOCKS; RISK SPILLOVERS; CRUDE-OIL; VOLATILITY SPILLOVERS; TIME-SERIES; SAFE HAVEN; UNIT-ROOT; DEPENDENCE;
D O I
10.1016/j.eap.2023.02.002
中图分类号
F [经济];
学科分类号
02 ;
摘要
This study examines the spillovers and connectedness between oil and the African stock markets under bearish, normal, and bullish market conditions. Using the quantile connectedness method, we find higher spillovers under bearish market conditions than in both tranquil and bullish market conditions. Oil is a net transmitter of spillovers in the African markets. Furthermore, Ghana, Kenya, Nigeria, and South Africa are net receivers of spillovers, and Tunisia, Egypt, Morocco, and Mauritius are net transmitters of spillovers in the lower quantile. In the median quantile, Ghana shifts to being a net transmitter of spillovers, whereas Egypt becomes a net receiver of spillovers. In the upper quantiles, all markets are net transmitters of spillovers, except for Mauritius and Egypt. We find a strong connectedness between oil and the Nigerian market during bearish and tranquil market conditions which alleviates the bullish market scenario. Moreover, spillovers reached the maximum level in early 2020, corresponding to the first wave of the COVID-19 pandemic. The portfolio analysis shows that an optimally weighted portfolio offers the best downside risk for all markets. The hedged portfolio offers the best risk reduction for all economies.(c) 2023 Economic Society of Australia, Queensland. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:60 / 83
页数:24
相关论文
共 81 条
[1]   The nexus between oil price and islamic stock markets in Africa: A wavelet and Multivariate-GARCH approach [J].
Abdulkarim, Fatima M. ;
Akinlaso, Mustapha I. ;
Hamid, Baharom Abdul ;
Ali, Hamisu S. .
BORSA ISTANBUL REVIEW, 2020, 20 (02) :108-120
[2]  
AfDB, 2021, African economic Outlook 2021
[3]   Using wavelets to decompose the time-frequency effects of monetary policy [J].
Aguiar-Conraria, Luis ;
Azevedo, Nuno ;
Soares, Maria Joana .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (12) :2863-2878
[4]   The impacts of COVID-19 crisis on spillovers between the oil and stock markets: Evidence from the largest oil importers and exporters [J].
Ali, Syed Riaz Mahmood ;
Mensi, Walid ;
Anik, Kaysul Islam ;
Rahman, Mishkatur ;
Kang, Sang Hoon .
ECONOMIC ANALYSIS AND POLICY, 2022, 73 :345-372
[5]   Oil shocks and stock market: Revisiting the dynamics [J].
Anand, B. ;
Paul, Sunil .
ENERGY ECONOMICS, 2021, 96 (96)
[6]   Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks [J].
Ando, Tomohiro ;
Greenwood-Nimmo, Matthew ;
Shin, Yongcheol .
MANAGEMENT SCIENCE, 2022, 68 (04) :2401-2431
[7]   International asset allocation with regime shifts [J].
Ang, A ;
Bekaert, G .
REVIEW OF FINANCIAL STUDIES, 2002, 15 (04) :1137-1187
[8]   Oil volatility, oil and gas firms and portfolio diversification [J].
Antonakakis, Nikolaos ;
Cunado, Juncal ;
Filis, George ;
Gabauer, David ;
Perez de Gracia, Fernando .
ENERGY ECONOMICS, 2018, 70 :499-515
[9]   Do structural oil-market shocks affect stock prices? [J].
Apergis, Nicholas ;
Miller, Stephen M. .
ENERGY ECONOMICS, 2009, 31 (04) :569-575
[10]   Does crude oil move stock markets in Europe? A sector investigation [J].
Arouri, Mohamed El Hedi .
ECONOMIC MODELLING, 2011, 28 (04) :1716-1725