Quantile-on-quantile connectedness measures: Evidence from the US treasury yield curve

被引:18
|
作者
Gabauer, David [1 ,2 ]
Stenfors, Alexis [3 ]
机构
[1] Acad Data Sci Finance, Vienna, Austria
[2] Johannes Kepler Univ Linz, Inst Corp Finance, Linz, Austria
[3] Univ Portsmouth, Sch Accounting Econ & Finance, Portsmouth, England
关键词
US yield curve; Dynamic connectedness; Quantile-on-quantile; EFFICIENT TESTS;
D O I
10.1016/j.frl.2023.104852
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
This study introduces a novel quantile-on-quantile connectedness approach to explore reversely related and directly related quantile spillovers. To illustrate the benefits of the proposed method, we examine the spillovers across the 2-year US Treasury yield (US2Y) and the yield curve spread between the 10-year and 2-year US Treasury yield (US2Y10Y) from 13 July 1998 to 11 July 2023. The empirical results show that the average total connectedness between reversely related quantiles is substantially higher than directly related quantiles. Additionally, the average quantile-based total connectedness is heterogeneous over time and economic events dependent.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] Natural resources volatility, political risk and economic performance: Evidence from quantile-on-quantile regression
    Tang, Shi
    Ma, Yechi
    Altuntas, Mehmet
    RESOURCES POLICY, 2022, 78
  • [22] The impact of artificial intelligence on carbon market in China: Evidence from quantile-on-quantile regression approach
    Jiang, Wei
    Hu, Yanhui
    Zhao, Xiangyu
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2025, 212
  • [23] The linkage between international tourism receipts and economic development: Evidence from quantile-on-quantile approaches
    Wu, Tsung-Pao
    Ai, Chi-Han
    Wu, Hung-Che
    CURRENT ISSUES IN TOURISM, 2023, 26 (08) : 1327 - 1340
  • [24] Natural resources volatility, political risk and economic performance: Evidence from quantile-on-quantile regression
    Tang, Shi
    Ma, Yechi
    Altuntaş, Mehmet
    Resources Policy, 2022, 78
  • [25] Dynamic connectedness of climate risks, oil shocks, and China's energy futures market: Time-frequency evidence from Quantile-on-Quantile regression
    Ren, Yinghua
    Wang, Nairong
    Zhu, Huiming
    NORTH AMERICAN JOURNAL OF ECONOMICS AND FINANCE, 2025, 75
  • [26] NONLINEAR EFFECTS OF CRUDE OIL DEPENDENCY ON FOOD PRICES IN CHINA: EVIDENCE FROM QUANTILE-ON-QUANTILE APPROACH
    Yu, Ying
    Peng, Chuqi
    Zakaria, Muhammad
    Mahmood, Hamid
    Khalid, Samia
    JOURNAL OF BUSINESS ECONOMICS AND MANAGEMENT, 2023, 24 (04) : 696 - 711
  • [27] Nexus between macroeconomic uncertainty, oil prices, and exports: evidence from quantile-on-quantile regression approach
    Dagar, Vishal
    Malik, Sakshi
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2023, 30 (16) : 48363 - 48374
  • [28] Bitcoin vs Inflation: Can Bitcoin Be a Macro Hedge? Evidence from a Quantile-on-Quantile Model.
    Matkovskyy, Roman
    Jalan, Akanksha
    SSRN, 2021,
  • [29] The asymmetric impact of oil price shocks on China stock market: Evidence from quantile-on-quantile regression
    Ge, Zhenyu
    QUARTERLY REVIEW OF ECONOMICS AND FINANCE, 2023, 89 : 120 - 125
  • [30] Modelling the globalization-CO2 emission nexus in Australia: evidence from quantile-on-quantile approach
    Tomiwa Sunday Adebayo
    Alex O. Acheampong
    Environmental Science and Pollution Research, 2022, 29 : 9867 - 9882