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Bitcoin prices and the realized volatility of US sectoral stock returns

Bouri, Elie; Salisu, Afees A.; Gupta, Rangan - 2022

Persistent link: https://www.econbiz.de/10013270159

A moving average heterogeneous autoregressive model for forecasting the realized volatility of the US stock market : evidence from over a century of data

Salisu, Afees A.; Gupta, Rangan; Ogbonna, Ahamuefula E. - In: International journal of finance & economics : IJFE 27 (2022) 1, pp. 384-400

Persistent link: https://www.econbiz.de/10012814585

A firm level analysis of asymmetric response of U.S. stock returns to exchange rate movements

Salisu, Afees A.; Isah, Kazeem; Ogbonnaya-Orji, Nnenna - In: International journal of finance & economics : IJFE 27 (2022) 1, pp. 1220-1239

Persistent link: https://www.econbiz.de/10012815021

New evidence for the inflation hedging potential of US stock returns

Salisu, Afees A.; Ndako, Umar Bida; Akanni, Lateef O. - In: Finance research letters 37 (2020), pp. 1-7

Persistent link: https://www.econbiz.de/10012485025

Energy market uncertainties and US state-level stock market volatility : a GARCH-MIDAS approach

Salisu, Afees A.; Ogbonna, Ahamuefula Ephraim; Gupta, Rangan - 2024

Persistent link: https://www.econbiz.de/10014505054

Economic conditions and predictability of US stock returns volatility : local factor versus national factor in a GARCH-MIDAS model

Salisu, Afees A.; Liao, Wenting; Gupta, Rangan; Cepni, … - 2023

Persistent link: https://www.econbiz.de/10014329743

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