Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Bitcoin volatility estimation
Bařina, Petr-Lev ; Pavláková Dočekalová, Marie (oponent) ; Luňáček, Jiří (vedoucí práce)
This bachelor thesis focuses on econometrics modelling and prediction of bitcoin volatility. The first part of the thesis is the theory of statistical properties of time series and models interpreting these properties. The practical part focuses on modelling, prediction, and evaluation of the accuracy of the predictions. The Key models are the Moving average model, the Autoregressive model, ARCH and the GARCH. The last part is a summary of results and proposals for improvement.
Bitcoin volatility estimation
Bařina, Petr-Lev ; Pavláková Dočekalová, Marie (oponent) ; Luňáček, Jiří (vedoucí práce)
This bachelor thesis focuses on econometrics modelling and prediction of bitcoin volatility. The first part of the thesis is the theory of statistical properties of time series and models interpreting these properties. The practical part focuses on modelling, prediction, and evaluation of the accuracy of the predictions. The Key models are the Moving average model, the Autoregressive model, ARCH and the GARCH. The last part is a summary of results and proposals for improvement.

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