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Nonlinear effects of financial factors on fluctuations in nonferrous metals prices: A Markov-switching VAR analysis

Citations

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Cited by:

  1. Song, Yi & Zhang, Zhouyi & Zhang, Yijun & Cheng, Jinhua, 2022. "Technological innovation and supply of critical metals: A perspective of industrial chains," Resources Policy, Elsevier, vol. 79(C).
  2. Karolina Safarzynska & Taras Kryvyy, 2025. "Integrating metals and minerals into climate-economic models: a review," Climatic Change, Springer, vol. 178(7), pages 1-23, July.
  3. Su, Hui & Zhou, Na & Wu, Qiaosheng & Bi, Zhiwei & Wang, Yuli, 2023. "Investigating price fluctuations in copper futures: Based on EEMD and Markov-switching VAR model," Resources Policy, Elsevier, vol. 82(C).
  4. Su, Chi-Wei & Wang, Xiao-Qing & Zhu, Haotian & Tao, Ran & Moldovan, Nicoleta-Claudia & Lobonţ, Oana-Ramona, 2020. "Testing for multiple bubbles in the copper price: Periodically collapsing behavior," Resources Policy, Elsevier, vol. 65(C).
  5. Rubaszek, Michał & Karolak, Zuzanna & Kwas, Marek, 2020. "Mean-reversion, non-linearities and the dynamics of industrial metal prices. A forecasting perspective," Resources Policy, Elsevier, vol. 65(C).
  6. Jin‐Yu Chen & Xue‐Hong Zhu & Mei‐Rui Zhong, 2021. "Time‐varying effects and structural change of oil price shocks on industrial output: Evidence from China's oil industrial chain," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3460-3472, July.
  7. Li, Hailing & Li, Yuxin & Zhang, Hua, 2023. "The spillover effects among the traditional energy markets, metal markets and sub-sector clean energy markets," Energy, Elsevier, vol. 275(C).
  8. Zhang, Zitao & Qin, Yun, 2022. "Study on the nonlinear interactions among the international oil price, the RMB exchange rate and China's gold price," Resources Policy, Elsevier, vol. 77(C).
  9. Chen, Leqin, 2025. "China’s impact on global commodity returns: A time-varying perspective," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 677-689.
  10. Liu, Min & Lee, Chien-Chiang, 2021. "Capturing the dynamics of the China crude oil futures: Markov switching, co-movement, and volatility forecasting," Energy Economics, Elsevier, vol. 103(C).
  11. Qi, Yajie & Li, Huajiao & Liu, Yanxin & Feng, Sida & Li, Yang & Guo, Sui, 2020. "Granger causality transmission mechanism of steel product prices under multiple scales—The industrial chain perspective," Resources Policy, Elsevier, vol. 67(C).
  12. Wei Dai, 2026. "Structural Shocks in the Global Copper Market: Evidence from an SVAR Model and China’s Macroeconomic Influence," Open Economies Review, Springer, vol. 37(1), pages 137-154, March.
  13. Sinem Guler Kangalli Uyar & Umut Uyar & Emrah Balkan, 2024. "Fundamental predictors of price bubbles in precious metals: a machine learning analysis," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(1), pages 65-87, March.
  14. Sun, Chuanwang & Zhan, Yanhong & Peng, Yiqi & Cai, Weiyi, 2022. "Crude oil price and exchange rate: Evidence from the period before and after the launch of China's crude oil futures," Energy Economics, Elsevier, vol. 105(C).
  15. Liu, Yanqiong & Guo, Yaoqi & Wei, Qing, 2024. "Time-varying and multi-scale analysis of copper price influencing factors based on LASSO and EMD methods," Journal of Commodity Markets, Elsevier, vol. 34(C).
  16. Dou, Shiquan & Zhu, Yongguang & Liu, Jiangyi & Xu, Deyi, 2024. "The power of mineral: Shock of the global supply chain from resource nationalism," World Development, Elsevier, vol. 184(C).
  17. Schischke, Amelie & Rathgebe, Andreas, 2023. "Formation of Industrial Metal Markets: Fundamental Theory, Co-movement and Time-varying Dependencies," 2023 Conference, April 24-25, 2023, St. Louis, Missouri 379018, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  18. Chen, Jinyu & Zhu, Xuehong & Li, Hailing, 2020. "The pass-through effects of oil price shocks on China's inflation: A time-varying analysis," Energy Economics, Elsevier, vol. 86(C).
  19. Li, Zheng-Zheng & Su, Chi-Wei & Chang, Tsangyao & Lobonţ, Oana-Ramona, 2022. "Policy-driven or market-driven? Evidence from steam coal price bubbles in China," Resources Policy, Elsevier, vol. 78(C).
  20. Dongbin Kim & Jaewook Lee & Hoki Kim, 2026. "Pattern-guided forecasting framework for metal price prediction with grouping decomposed series," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 12(1), pages 1-30, December.
  21. Zheng, Shuxian & Tan, Zhanglu & Xing, Wanli & Zhou, Xuanru & Zhao, Pei & Yin, Xiuqi & Hu, Han, 2022. "A comparative exploration of the chaotic characteristics of Chinese and international copper futures prices," Resources Policy, Elsevier, vol. 78(C).
  22. Zhou, Ying-Zhe & Huang, Jian-Bai & Chen, Jin-Yu, 2019. "Time-varying effect of the financialization of nonferrous metals markets on China's industrial sector," Resources Policy, Elsevier, vol. 64(C).
  23. Gong, Xu & Xu, Jun & Liu, Tangyong & Zhou, Zicheng, 2022. "Dynamic volatility connectedness between industrial metal markets," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
  24. Kshitij Abhay Kakade & Aswini Kumar Mishra, 2021. "The impact of macroeconomic and oil shocks on India’s non-ferrous metal prices: A structural-VAR approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 30-50.
  25. Amelie Schischke & Patric Papenfuß & Andreas Rathgeber, 2024. "The three co’s to jointly model commodity markets: co-production, co-consumption and co-trading," Empirical Economics, Springer, vol. 66(2), pages 883-925, February.
  26. Ozgur, Onder & Yilanci, Veli & Ozbugday, Fatih Cemil, 2021. "Detecting speculative bubbles in metal prices: Evidence from GSADF test and machine learning approaches," Resources Policy, Elsevier, vol. 74(C).
  27. Gong, Xu & Guan, Keqin & Chen, Liqing & Liu, Tangyong & Fu, Chengbo, 2021. "What drives oil prices? — A Markov switching VAR approach," Resources Policy, Elsevier, vol. 74(C).
  28. Mathias Tessmann & Carlos Carrasco-Gutierrez & Omar Khodr & Luiz Augusto Magalhães & Marcelo Passos, 2024. "Volatility Transmission and Market Connectivity of Metals and Energy Commodities: Insights from the Spillover Index," International Journal of Energy Economics and Policy, Econjournals, vol. 14(3), pages 609-618, May.
  29. Liu, Yue & Sun, Huaping & Zhang, Jijian & Taghizadeh-Hesary, Farhad, 2020. "Detection of volatility regime-switching for crude oil price modeling and forecasting," Resources Policy, Elsevier, vol. 69(C).
  30. Roudari, Soheil & Tehranchian, Amirmansour & Zarei, Pegah & kakaei, hamid, 2020. "ارزيابي اثر تکانه درآمد نفت بر شاخص سهام در ايران: کاربردي از الگوي مارکوف سويچينگ خودرگرسيون برداري [Evaluating the effect of oil revenue shock on stock market index in Iran: Application of Markov switching vector autoregressive]," MPRA Paper 127014, University Library of Munich, Germany, revised 23 May 2021.
  31. Emrah I. Cevik & Sel Dibooglu & Max Gillman & Szilard Benk, 2025. "Granger predictability of real oil prices by us money and inflation in Markov-switching regimes," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 15(1), pages 29-52, March.
  32. Jinyu Chen & Xuehong Zhu, 2021. "The Effects of Different Types of Oil Price Shocks on Industrial PPI: Evidence from 36 Sub-industries in China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(12), pages 3411-3434, September.
  33. Lin, Boqiang & Su, Tong, 2021. "Do China's macro-financial factors determine the Shanghai crude oil futures market?," International Review of Financial Analysis, Elsevier, vol. 78(C).
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