• Medientyp: E-Book
  • Titel: Can Uncertainties Predict the Long-term Volatility of Gold Markets? New Evidence From Cryptocurrency Uncertainties
  • Beteiligte: Wei, Yu [VerfasserIn]; Lucey, Brian M. [VerfasserIn]; Vigne, Samuel A. [VerfasserIn]; Wang, Yizhi [VerfasserIn]
  • Erschienen: [S.l.]: SSRN, [2022]
  • Umfang: 1 Online-Ressource (14 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.4128708
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments June 6, 2022 erstellt
  • Beschreibung: This study analyses the prediction power of uncertainty measures, especially the cryptocurrency uncertainty indices on the long-term volatility of the gold markets. By utilising a mixed data sampling model, GARCH-MIDAS, we show that various uncertainty measures may capture different types of long-term fluctuations in gold prices. In particular, cryptocurrency policy and price uncertainties contain useful forecasting information for long-term volatility of gold markets. In light of these findings, investors, policymakers, and academics should consider the potential shocks from cryptocurrency uncertainties to the gold markets
  • Zugangsstatus: Freier Zugang