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How efficient are natural gas markets in practice? A wavelet-based approach

Baba, Amina-Feriel; Ben Kebaier, Sana; Creti, Anna (2022), How efficient are natural gas markets in practice? A wavelet-based approach, Annals of Operations Research, p. 55. 10.1007/s10479-022-04750-z

Type
Article accepté pour publication ou publié
Date
2022
Journal name
Annals of Operations Research
Publisher
Springer
Pages
55
Publication identifier
10.1007/s10479-022-04750-z
Metadata
Show full item record
Author(s)
Baba, Amina-Feriel
Laboratoire d'Economie de Dauphine [LEDa]
Ben Kebaier, Sana
Laboratoire d'Economie de Dauphine [LEDa]
Creti, Anna
EconomiX
Laboratoire d'Economie de Dauphine [LEDa]
Abstract (EN)
This paper is the first attempt to provide a comprehensive account of pricing and informational efficiency of the US and EU natural gas markets. We rely on Maximum Overlap Discrete Wavelet decomposition (MODWT) of daily data of US Henry Hub, British NBP and Dutch TTF natural gas physical and futures returns at different maturities between 2013 and 2019. Multiscale linear and nonlinear Granger causality and random walk testing are investigated. We find that futures prices and spot prices of Henry Hub, NBP, and TTF are cointegrated. Moreover, multiscale causality testing shows that Henry Hub markets exhibit strong bidirectional causality between spot and futures markets. EU markets are globally efficient in terms of pricing despite some inconsistencies on the causality direction across time scales and maturities of the futures contracts. Finally, for the three selected futures markets, informational efficiency is reached only in the long-run. The results make it possible to establish an evaluation of the hubs in terms of their capacity to provide reliable reference prices for the quantities of gas under contract through a discussion on the crucial role of liquidity and storage capacity.
Subjects / Keywords
MODWT; Frequency domain; Natural gas; Informational efficiency; Multiscale Granger causality; Random walk testing
JEL
Q43 - Energy and the Macroeconomy

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