Cryptocurrency uncertainty and volatility forecasting of precious metal futures markets
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DOI: 10.1016/j.jcomm.2022.100305
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- Zhang, Xiaoyun & Guo, Qiang, 2024. "How useful are energy-related uncertainty for oil price volatility forecasting?," Finance Research Letters, Elsevier, vol. 60(C).
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- Chi-Wei Su & Kai-Hua Wang & Oana-Ramona Lobonţ & Meng Qin, 2023. "Continuous Wavelet Transform of Time-Frequency Analysis Technique to Capture the Dynamic Hedging Ability of Precious Metals," Mathematics, MDPI, vol. 11(5), pages 1-18, February.
- Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2024. "Quantifying spillovers and connectedness among commodities and cryptocurrencies: Evidence from a Quantile-VAR analysis," Journal of Commodity Markets, Elsevier, vol. 33(C).
- Wang, Zhuqing & Wang, Xinyu & Cheng, Qiuying & Shi, Song, 2024. "Heterogeneous impact of economic and political uncertainty on green bond volatility: Evidence from the MRS-GARCH-MIDAS-Skewed T model," International Review of Financial Analysis, Elsevier, vol. 95(PB).
- Jia, Boxiang & Shen, Dehua & Zhang, Wei, 2024. "Bitcoin market reactions to large price swings of international stock markets," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 72-88.
- Yuan Li & Bingqiao Luo & Qian Wang & Nuo Chen & Xu Liu & Bingsheng He, 2024. "A Reflective LLM-based Agent to Guide Zero-shot Cryptocurrency Trading," Papers 2407.09546, arXiv.org.
- Li, Wei & Zhang, Junchao & Cao, Xiangye & Han, Wei, 2024. "Is the prediction of precious metal market volatility influenced by internet searches regarding uncertainty?," Finance Research Letters, Elsevier, vol. 62(PB).
- John Kingsley Woode & Anokye M. Adam & Peterson Owusu Junior & Anthony Adu-Asare Idun, 2024. "Industrial metal and cryptocurrency market plummets: Interdependence, policy uncertainty, or investor sentiments?," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(4), pages 1001-1040, December.
- Huang, Wenyang & Gao, Tianxiao & Hao, Yun & Wang, Xiuqing, 2023. "Transformer-based forecasting for intraday trading in the Shanghai crude oil market: Analyzing open-high-low-close prices," Energy Economics, Elsevier, vol. 127(PA).
- Zhong, Yufei & Chen, Xuesheng & Wang, Chengfang & Wang, Zhixian & Zhang, Yuchen, 2023. "The hedging performance of green bond markets in China and the U.S.: Novel evidence from cryptocurrency uncertainty," Energy Economics, Elsevier, vol. 128(C).
- Joo, Young C. & Park, Sung Y., 2023. "Quantile connectedness between cryptocurrency and commodity futures," Finance Research Letters, Elsevier, vol. 58(PC).
- Wu, Zewen, 2024. "Are we in a bubble? Financial vulnerabilities in semiconductor, Web3, and genetic engineering markets," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 32-44.
- Kawakami, Tabito, 2023. "Quantile prediction for Bitcoin returns using financial assets’ realized measures," Finance Research Letters, Elsevier, vol. 55(PA).
- Sun, Xiaowen & Du, Zhenhua, 2024. "Enhancing capital market efficiency: The role of data assets disclosure in reducing stock price synchronicity," International Review of Economics & Finance, Elsevier, vol. 94(C).
- Ivanovski, Kris & Hailemariam, Abebe, 2023. "Forecasting the stock-cryptocurrency relationship: Evidence from a dynamic GAS model," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 97-111.
- Jingyang Wu & Xinyi Zhang & Fangyixuan Huang & Haochen Zhou & Rohtiash Chandra, 2024. "Review of deep learning models for crypto price prediction: implementation and evaluation," Papers 2405.11431, arXiv.org, revised Jun 2024.
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More about this item
Keywords
Cryptocurrency uncertainty; Precious metal; Volatility forecasting; Model evaluation;All these keywords.
JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
- Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
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