Heavy metals: Might as well jump

Research output: Contribution to journalArticlepeer-review


Financial times series, and commodity prices in particular, are known to exhibit fat tails in the distribution of prices. As with many natural resources price series, the arrival of new information can lead to unexpectedly rapid changes—or jump—in prices. This suggests that natural resource commodity prices should follow a more complex process than geometric Brownian motion (GBM), which is linked to the Gaussian distribution. The presence of jumps (discontinuities) in several heavy metal price series is investigated, as well as time-varying volatility. The results demonstrate that allowing for jumps and time-varying volatility provides statistically important improvements in the modelling or prices, relative to GBM. These complex processes contributed to the fatness of the tails in the distribution of heavy metal price returns.

Original languageEnglish (US)
Article number33
JournalInternational Journal of Financial Studies
Issue number2
StatePublished - 2019

Bibliographical note

Publisher Copyright:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland.


  • Commodity prices
  • Fat-tails
  • Jump diffusion
  • Metal prices


Dive into the research topics of 'Heavy metals: Might as well jump'. Together they form a unique fingerprint.

Cite this