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Infectious Diseases-Related Uncertainty and the Predictability of Foreign Exchange and Bitcoin Futures Realised Volatility

Sisa Shiba (), Juncal Cunado (), Rangan Gupta and Samrat Goswami ()
Additional contact information
Sisa Shiba: Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South Africa
Juncal Cunado: Department of Economics, University of Navarra, 20280 Pamplona, Spain
Samrat Goswami: Department of Rural Management and Development, Tripura University, Suryamaninagar, 799022, Tripura, India

No 202225, Working Papers from University of Pretoria, Department of Economics

Abstract: This paper examines the forecasting power of daily infectious disease-related uncertainty in predicting the realised volatility of nine foreign exchange futures and the Bitcoin futures series using the heterogeneous autoregressive realised variance model. Our results indicate that the infectious diseases-related uncertainty index plays a crucial role in predicting the future path of foreign exchange and Bitcoin futures realised volatility in all the selected time intervals. These findings have important implications for portfolio managers and investors during periods of high levels of uncertainty associated with infectious diseases.

Keywords: : infectious diseases-related uncertainty; foreign exchange market; Bitcoin; realised volatility; forecasting (search for similar items in EconPapers)
JEL-codes: C22 F31 (search for similar items in EconPapers)
Pages: 15 pages
Date: 2022-05
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Citations: View citations in EconPapers (1)

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