You are currently viewing a new version of our website. To view the old version click .

Volatility Models Applied to Geophysics, Financial Market Data and Other Disciplines

This special issue belongs to the section “E5: Financial Mathematics“.

Special Issue Information

Over the past few decades, several volatility models have been developed to describe phenomenon arising in Geophysics, Financial Markets and other disciplines. Many known methods both deterministic and stochastic has been used to study the volatility structures of datasets arising in geophysical and financial time series. Many of these deterministic and stochastic models provide interesting, potentially useful tools for modeling and describing volatility structures in these time series.

In this Special Issue, we invite and welcome commentaries, review, expository, and original research articles dealing with the recent advances in the theory and applications of volatility models to data sets arising in geophysics, financial markets data and other disciplines.

Prof. Dr. Maria C Mariani
Guest Editor

Keywords

  • Stochastic volatility models
  • Deterministic volatility models
  • Geophysics
  • Financial market data
  • Time series analysis
  • High frequency data

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Published Papers

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Mathematics - ISSN 2227-7390