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Mathematics in Engineering

Vol. 39 No. 01 (2024): Proceedings of Faculty of Technical Sciences

CONDITIONAL HETEROSKEDASTIC MODELS FOR TIME SERIES VOLATILITY ESTIMATION

  • Јелена Ердељан
  • Јелена Иветић
DOI:
https://doi.org/10.24867/25JV01Erdeljan
Submitted
January 3, 2024
Published
2024-01-03

Abstract

The paper presents ARCH and GARCH models for modelling and forecasting the volatility of time series, as well as some of their modifications. The application of these models to a real dataset of the Bitcoin cryptocurrency time series is demonstrated.

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