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Predictive gains from forecast combinations using time varying model weights
Ravazzolo, Francesco (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003746745
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Bayes estimates of Markov trends in possibly cointegrated series : an application to US consumption and income
Paap, Richard (contributor); Dijk, Herman K. van (contributor) - 2002 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001722263
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On Bayesian structural inference in a Simultaneous Equation Model
Dijk, Herman K. van (contributor) - 2002 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001678732
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The impact of jumps and leverage in forecasting the co-volatility of oil and gold futures
Asai, Manabu; Gupta, Rangan; McAleer, Michael - 2019
Persistent link: https://www.econbiz.de/10011986953
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Do U.S. economic conditions at the state level predict the realized volatility of oil-price returns? : a quantile machine-learning approach
Gupta, Rangan; Pierdzioch, Christian - In: Financial innovation : FIN 9 (2023), pp. 1-22
Persistent link: https://www.econbiz.de/10014288917
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The predictive power of Bitcoin prices for the realized volatility of US stock sector returns
Bouri, Elie; Salisu, Afees A.; Gupta, Rangan - In: Financial innovation : FIN 9 (2023) 1, pp. 1-22
This paper is motivated by Bitcoin's rapid ascension into mainstream finance and recent evidence of a strong relationship between Bitcoin and US stock markets. It is also motivated by a lack of empirical studies on whether Bitcoin prices contain useful information for the volatility of US stock...
Persistent link: https://www.econbiz.de/10014289060