Dynamic return and volatility spillovers among S&P 500, crude oil, and gold

被引:38
|
作者
Balcilar, Mehmet [1 ]
Ozdemir, Zeynel Abidin [2 ]
Ozdemir, Huseyin [3 ]
机构
[1] Eastern Mediterranean Univ, Via Mersin 10, Famagusta, North Cyprus, Turkey
[2] Econ Res Forum, Cairo, Egypt
[3] Gazi Univ, Ankara, Turkey
关键词
Financial and commodity markets; quantile VAR (QVAR); spillovers; vector autoregression; variance decomposition; NONPARAMETRIC QUANTILE CAUSALITY; IMPULSE-RESPONSE ANALYSIS; STOCK-MARKET; TIME-SERIES; SAFE-HAVEN; RISK SPILLOVER; PRECIOUS-METAL; GRANGER CAUSALITY; UNIT-ROOT; DEPENDENCE;
D O I
10.1002/ijfe.1782
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This article examines the return and volatility spillover effects among the S&P 500, crude oil, and gold by employing the spillover index of Diebold and Yilmaz (2012). Monthly realized volatility and return series covering the period from January 1986 to August 2018 are used to examine the return and volatility spillovers. Our findings indicate a bidirectional return and volatility spillover among these assets. The full sample empirical evidence is consistent with the structure in which oil plays a central role in the information transmission mechanism. The role of oil and gold as a safe haven has changed over time in financial and nonfinancial economic turbulence time-span. Commodity market financialization has decreased the effectiveness of adding commodities to portfolios after 2002. We find that return spillover is much higher both with considerable negative and positive larger shocks than average shocks, corresponding to left and right tails of the conditional distribution, respectively, while volatility spillover is higher only with positive large shocks than average shocks, which corresponds to shock in the right tail.
引用
收藏
页码:153 / 170
页数:18
相关论文
共 50 条
  • [1] Asymmetric connectedness among S&P 500, crude oil, gold and Bitcoin
    Ngo Thai Hung
    [J]. MANAGERIAL FINANCE, 2022, 48 (04) : 587 - 610
  • [2] Dynamic spillovers and linkages between gold, crude oil, S&P 500, and other economic and financial variables. Evidence from the USA
    Golitsis, Petros
    Gkasis, Pavlos
    Bellos, Sotirios K.
    [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2022, 63
  • [3] A hybrid modeling approach for forecasting the volatility of S&P 500 index return
    Hajizadeh, E.
    Seifi, A.
    Zarandi, M. N. Fazel
    Turksen, I. B.
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2012, 39 (01) : 431 - 436
  • [4] Modelling the return and volatility spillovers of crude oil and food prices in Nigeria
    Fasanya, Ismail
    Akinbowale, Seun
    [J]. ENERGY, 2019, 169 : 186 - 205
  • [5] S&P 500 volatility, volatility regimes, and economic uncertainty
    Adrangi, Bahram
    Chatrath, Arjun
    Raffiee, Kambiz
    [J]. BULLETIN OF ECONOMIC RESEARCH, 2023, 75 (04) : 1362 - 1387
  • [6] Comparison between volatility return intervals of the S&P 500 index and two common models
    I. Vodenska-Chitkushev
    F. Z. Wang
    P. Weber
    K. Yamasaki
    S. Havlin
    H. E. Stanley
    [J]. The European Physical Journal B, 2008, 61 : 217 - 223
  • [7] The dynamics of the S&P 500 implied volatility surface
    Skiadopoulos G.
    Hodges S.
    Clewlow L.
    [J]. Review of Derivatives Research, 2000, 3 (3) : 263 - 282
  • [8] Comparison between volatility return intervals of the S&P 500 index and two common models
    Vodenska-Chitkushev, I.
    Wang, F. Z.
    Weber, P.
    Yamasaki, K.
    Havlin, S.
    Stanley, H. E.
    [J]. EUROPEAN PHYSICAL JOURNAL B, 2008, 61 (02): : 217 - 223
  • [9] The empirical linkages among market returns, return volatility, and trading volume: Evidence from the S&P 500 VIX Futures
    Kao, Yu-Sheng
    Chuang, Hwei-Lin
    Ku, Yu-Cheng
    [J]. NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2020, 54
  • [10] Return and volatility spillovers among cryptocurrencies
    Koutmos, Dimitrios
    [J]. ECONOMICS LETTERS, 2018, 173 : 122 - 127