CONDITIONAL HETEROSKEDASTIC MODELS FOR TIME SERIES VOLATILITY ESTIMATION

Authors

  • Јелена Ердељан Autor
  • Јелена Иветић Autor

DOI:

https://doi.org/10.24867/25JV01Erdeljan

Keywords:

Time Series, volatility, heteroskedasticity, GARCH model

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.

References

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Published

2024-01-03