Zörner, Thomas. 2018. Predicting cryptocurrencies using sparse non-Gaussian state space models. 3rd Vietnam Symposium in Banking and Finance (VSBF), Hue City, Vietnam, 25.10.-27.10.

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Publication's profile

Status of publication	Published
Affiliation	WU
Type of publication	Paper presented at an academic conference or symposium
Language	English
Title	Predicting cryptocurrencies using sparse non-Gaussian state space models
Event	3rd Vietnam Symposium in Banking and Finance (VSBF)
Year	2018
Date	25.10.-27.10.
Country	Viet Nam
Location	Hue City
JEL	C11, C32, E51, G12

Associations

People: Zörner, Thomas (Details)
Organization: Department of Economics (Crespo Cuaresma) (Details)
Research areas (ÖSTAT Classification 'Statistik Austria'): 5323 Econometrics (Details); 5335 Political economic theory (Details); 5371 Macroeconomics (Details)

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