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Time-varying variance scaling : application of the fractionally integrated ARMA model

Chen, An-sing; Chang, Hung-Chou; Cheng, Lee-Young - In: The North American journal of economics and finance : a … 47 (2019), pp. 1-12

Persistent link: https://www.econbiz.de/10012117796

Forecasting multivariate volatility using the VARFIMA model on realized covariance Cholesky factors

Halbleib, Roxana; Voev, Valeri - In: Jahrbücher für Nationalökonomie und Statistik 231 (2011) 1, pp. 134-152

Persistent link: https://www.econbiz.de/10008902886

The real-life performance of market timing with moving average and time-series momentum rules

Zakamulin, Valeriy - In: The journal of asset management 15 (2014) 4, pp. 261-278

Persistent link: https://www.econbiz.de/10010476240

SEMIFAR forecasts, with applications to foreign exchange rates

Beran, Jan; Ocker, Dirk - 1999

SEMIFAR models introduced in Beran (1999) provide a semiparametric modelling framework that enables the data analyst to separate deterministic and stochastic trends as well as short- and long-memory components in an observed time series. A correct distinction between these components, and in...

Persistent link: https://www.econbiz.de/10011544579