دورية أكاديمية

Forecasting natural gas prices using highly flexible time-varying parameter models.

التفاصيل البيبلوغرافية
العنوان: Forecasting natural gas prices using highly flexible time-varying parameter models.
المؤلفون: Gao, Shen1 (AUTHOR) sgao@hnu.edu.cn, Hou, Chenghan1 (AUTHOR) chenghan.hou@hotmail.com, Nguyen, Bao H.2 (AUTHOR) b.nguyen@utas.edu.au
المصدر: Economic Modelling. Dec2021, Vol. 105, pN.PAG-N.PAG. 1p.
مصطلحات موضوعية: *NATURAL gas prices, *FORECASTING, *MARKETING forecasting, NATURAL gas
مصطلحات جغرافية: JAPAN
مستخلص: Distinctive regional characteristics in different natural gas markets have increased the difficulty in accurately forecasting natural gas prices. Moreover, the natural gas markets have experienced great structural instability due to advancement in technology and rapid financialization over the past few decades. We employ three classes of flexible time-varying parameters models to evaluate the effects of the regional characteristics and structural instability on natural gas prices forecasts. Using the data from the US, EU and Japanese markets from 1992 to 2019, we find that allowing different time-varying dynamics of the model parameters is crucial in forecasting natural gas prices. For Japan and the EU, models allowing gradual changes in coefficients and drastic changes in volatility have the best forecasting performance, while most of forecasting gains appear to have come from allowing gradual changes in volatility for the US. In addition, embedding t-distributed errors can further improve the forecast accuracy. • We employ a set of sophisticated and flexible models to forecast natural gas prices. • Allowing different time-varying dynamics of the model parameters is crucial. • Embedding t-distributed errors can further improve the forecast accuracy. • The results confirm the strong regional characteristics of the three markets. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Business Source Index
الوصف
تدمد:02649993
DOI:10.1016/j.econmod.2021.105652