Do global factors impact BRICS stock markets? A quantile regression approach

被引:312
|
作者
Mensi, Walid [1 ]
Hammoudeh, Shawkat [2 ,4 ]
Carlos Reboredo, Juan [3 ]
Duc Khuong Nguyen [4 ]
机构
[1] Univ Tunis El Manar, Dept Finance & Accounting, Tunis, Tunisia
[2] Drexel Univ, Lebow Coll Business, Philadelphia, PA 19104 USA
[3] Univ Santiago de Compostela, Dept Fundamentos Anal Econ, Santiago De Compostela 15782, Spain
[4] IPAG Business Sch, IPAG Lab, F-75006 Paris, France
关键词
Asymmetric dependence; Global factors; BRICS; Global financial crisis; Quantile regression; COUNTRY RISK RATINGS; FINANCIAL CRISIS; TIME-SERIES; UNIT-ROOT; OIL PRICE; EXCHANGE-RATE; BOND MARKETS; SAFE HAVEN; CONTAGION; RETURN;
D O I
10.1016/j.ememar.2014.04.002
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This paper examines the dependence structure between the emerging stock markets of the BRICS countries and influential global factors. Using the quantile regression approach, our results for the period from September 1997 to September 2013 show that the BRICS stock markets exhibit dependence with the global stock and commodity markets (S&P index, oil, and gold) as well as changes in the U.S. stock market uncertainty (CBOE Volatility Index). This dependence structure is often asymmetric and affected by the onset of the recent global financial crisis. By contrast, the U.S. economic policy uncertainty has no impact on the BRICS stock markets. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 17
页数:17
相关论文
共 50 条
  • [41] Impact of global oil and gold prices on the Iran stock market returns during the Covid-19 pandemic using the quantile regression approach
    Zeinedini, Sh
    Karimi, M. Sh
    Khanzadi, A.
    [J]. RESOURCES POLICY, 2022, 76
  • [42] Dependence between the global gold market and emerging stock markets (E7+1): Evidence from Granger causality using quantile and quantile-on-quantile regression methods
    Tiwari, Aviral Kumar
    Adewuyi, Adeolu O.
    Roubaud, David
    [J]. WORLD ECONOMY, 2019, 42 (07): : 2172 - 2214
  • [43] STUDY OF THE US STOCK MARKET SENSITIVITY USING A QUANTILE REGRESSION APPROACH
    Ferrer, Roman
    Jareno, Francisco
    Miroslavova, Stanislava
    [J]. SGEM 2015: POLITICAL SCIENCES, LAW, FINANCE, ECONOMICS AND TOURISM, VOL II: FINANCE, ECONOMICS & TOURISM, 2015, : 347 - 354
  • [44] Corruption and capital structure in emerging markets: A panel quantile regression approach
    Singh, Bhanu Pratap
    Kannadhasan, M.
    [J]. JOURNAL OF BEHAVIORAL AND EXPERIMENTAL FINANCE, 2020, 28
  • [45] Bitcoin and CEE stock markets: fresh evidence from using the DECO-GARCH model and quantile on quantile regression
    Ngo Thai Hung
    [J]. EUROPEAN JOURNAL OF MANAGEMENT AND BUSINESS ECONOMICS, 2021, 30 (02) : 261 - 280
  • [46] Exchange rates and stock markets in emerging economies: new evidence using the Quantile-on-Quantile approach
    Gokmenoglu, Korhan
    Eren, Baris Memduh
    Hesami, Siamand
    [J]. QUANTITATIVE FINANCE AND ECONOMICS, 2021, 5 (01): : 94 - 110
  • [47] The dynamic impact of biomass and natural resources on ecological footprint in BRICS economies: A quantile regression evidence
    Awosusi, Abraham Ayobamiji
    Adebayo, Tomiwa Sunday
    Altuntas, Mehmet
    Agyekum, Ephraim Bonah
    Zawbaa, Hossam M.
    Kamel, Salah
    [J]. ENERGY REPORTS, 2022, 8 : 1979 - 1994
  • [48] The impact of oil and global markets on Saudi stock market predictability: A machine learning approach
    Abdou, Hussein A.
    Elamer, Ahmed A.
    Abedin, Mohammad Zoynul
    Ibrahim, Bassam A.
    [J]. ENERGY ECONOMICS, 2024, 132
  • [49] Do the arts make you happy? A quantile regression approach
    Chris Hand
    [J]. Journal of Cultural Economics, 2018, 42 : 271 - 286
  • [50] Dynamic quantile connectedness between oil and stock markets: The impact of the interest rate
    Qin, Jingrui
    Cong, Xiaoping
    Ma, Di
    Rong, Xueyun
    [J]. ENERGY ECONOMICS, 2024, 136