Journal
RESOURCES POLICY
Volume 74, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.resourpol.2021.102383
Keywords
Bitcoin; Resource commodity futures; Nonlinear autoregressive distributed lag approach (NARDL)
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This study applies the NARDL approach to examine the long-run and short-run asymmetries between Bitcoin price and resource commodity futures price. The findings reveal an asymmetric long-run relationship between Bitcoin price and resource commodity futures price, with short-run asymmetry identified only in gold and silver futures. Robustness tests indicate that the specification of the NARDL model is influenced by the time frequency of the data.
This paper uses nonlinear autoregressive distributed lag approach (NARDL) to simultaneously test both long-run and short-run asymmetries between Bitcoin price and resource commodity futures price. The Wald tests support the asymmetric long-run relationship between Bitcoin price and resource commodity futures price. Nevertheless, the short-run asymmetry is only found in the case of gold futures and silver futures. The robustness tests show the specification of NARDL model is regarding to the time frequency of the data.
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