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The role of uncertainty index in forecasting volatility of Bitcoin : fresh evidence from GARCH-MIDAS approach
Xia, Yufei; Sang, Chong; He, Lingyun; Wang, Ziyao - In: Finance research letters 52 (2023), pp. 1-8
Persistent link: https://www.econbiz.de/10014472258
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Predicting Bitcoin returns : comparing the roles of newspaper- and internet search-based measures of uncertainty
Bouri, Elie; Gupta, Rangan - In: Finance research letters 38 (2021), pp. 1-7
Persistent link: https://www.econbiz.de/10012485208
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Nowcasting private consumption : traditional indicators, uncertainty measures, credit cards and some internet data
Gil, María; Pérez, Javier J.; Sánchez Fuentes, A. Jesús - 2018
Persistent link: https://www.econbiz.de/10011946875
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Catastrophe risk models for evaluating disaster risk reduction investments in developing countries
Michel-Kerjan, Erwann; Hochrainer-Stigler, Stefan; … - 2012
Persistent link: https://www.econbiz.de/10009579806
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A finite mixture logit model to segment and predict electronic payments system adoption
Bapna, Ravi; Goes, Paulo B.; Wei, Kwok Kee; Zhang, Zhongju - In: Information systems research : ISR 22 (2011) 1, pp. 118-133
Persistent link: https://www.econbiz.de/10009007139
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The mutual predictability of Bitcoin and web search dynamics
Süssmuth, Bernd - In: Journal of forecasting 41 (2022) 3, pp. 435-454
Persistent link: https://www.econbiz.de/10013166153
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Bitcoin Price Forecast Using Quantitative Models
Bernardi, Daniele; Bertelli, Ruggero - 2021
Bitcoin was designed to grow in value indefinitely. The smallest quantity, known as a Satoshi, is equal to 0.00000001 of a Bitcoin. It’s obvious that its creator imagined a deflationary system for his creation, one that could help it reach ever increasing values.In the moment that a Satoshi...
Persistent link: https://www.econbiz.de/10013219528
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Next-day Bitcoin price forecast
Munim, Ziaul Haque; Shakil, Mohammad Hassan; Alon, Ilan - In: Journal of risk and financial management : JRFM 12 (2019) 2/103, pp. 1-15
This study analyzes forecasts of Bitcoin price using the autoregressive integrated moving average (ARIMA) and neural network autoregression (NNAR) models. Employing the static forecast approach, we forecast next-day Bitcoin price both with and without re-estimation of the forecast model for each...
Persistent link: https://www.econbiz.de/10012021953
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A mixed frequency approach to the forecasting of private consumption with ATM/POS data
Duarte, Cláudia; Rodrigues, Paulo M. M.; Rua, António - In: International journal of forecasting 33 (2017) 1, pp. 61-75
Persistent link: https://www.econbiz.de/10011754684
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LASSO-based high-frequency return predictors for profitable Bitcoin investment
Huang, Weige; Gao, Xiang - In: Applied economics letters 29 (2022) 12, pp. 1079-1083
Persistent link: https://www.econbiz.de/10013412041