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- W3174146220 abstract "The influence of ARFIMA model parameters on the accuracy of financial time series forecasting on the example of artificially generated long memory series and daily log returns of RTS index is investigated. The investigated parameters are deviation of the integration order value from its «true» value, as well as the memory «length» considered by the model. Based on the research results, some practical recommendations for modeling using ARFIMA have been formulated." @default.
- W3174146220 created "2021-07-05" @default.
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- W3174146220 date "2021-01-01" @default.
- W3174146220 modified "2023-10-18" @default.
- W3174146220 title "Influence of some ARFIMA model parameters on the accuracy of financial time series forecasting" @default.
- W3174146220 doi "https://doi.org/10.22394/1993-7601-2021-62-85-100" @default.
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