Extreme time-frequency connectedness across US sector stock and commodity futures markets

被引:7
作者
Bhattacherjee, Purba [1 ]
Mishra, Sibanjan [2 ]
Kang, Sang Hoon [3 ]
机构
[1] XIM Univ, Kakudia, India
[2] Manipal Acad Higher Educ, T A Pai Management Inst, Accounting Econ & Finance Area, Manipal, India
[3] Pusan Natl Univ, Sch Business, Jangjeon 2-Dong, Pusan 609735, South Korea
基金
新加坡国家研究基金会;
关键词
US sectoral indices; Commodity markets; Quantile spillover; Time-frequency analysis; Portfolio management; COVID-19; Geopolitical crisis; IMPULSE-RESPONSE ANALYSIS; CRUDE-OIL PRICES; VOLATILITY SPILLOVERS; FINANCIAL CRISIS; GREEN BOND; SERIES; BRICS;
D O I
10.1016/j.iref.2024.05.021
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study investigates the extreme time-frequency return connectedness between ten U.S. sectors and commodities from January 2014 to May 2023. Using quantile time-frequency measures, we find the following: Firstly, the total connectedness estimates are more sensitive at shorter frequencies than at longer ones. Secondly, the study reveals varied degrees of contagion during crisis periods. Notably, during COVID-19 (Russia -Ukraine conflict), the contagion is driven by shortterm (long-term) shocks, specifically during the bearish (bullish) phase. Thirdly, quantile connectedness measures depict intense correlations around market extremes, underlining dynamic net return-contagion with tailored risk strategies. The shifts in shock transmission roles during bearish and bullish scenarios, along with evolving dynamics across time-frequency horizons, emphasize substantial interconnectedness within the network. Our findings suggest limited diversification scope under extreme market conditions, informing investment decisions, risk management, and portfolio optimization.
引用
收藏
页码:1176 / 1197
页数:22
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