Detecting speculative bubbles in the Chinese energy market: evidence from a GSADF test

Analysing bubbles in China's energy futures market facilitates the identification of the unique driving factors of bubbles in emerging markets. We apply the Generalized Supremum Augmented Dickey-Fuller (GSADF) and Supremum Augmented Dickey-Fuller (SADF) to verify the bubbles of crude oil (SC), power coal (ZC) and liquefied petroleum gas (LPG). Furthermore, we use the GSADF method to identify the definite generation and bursting times of these futures. The empirical results show that three bubbles occurred in the SC and LPG markets between 22 June 2020 and 26 September 2022 while four occurred in ZC during the same period. As an international commodity, SC bubbles are highly influenced by global factors, such as the global economy and geopolitical situation. In China, ZC bubbles are mainly influenced by domestic factors, such as price guidance, environmental protection policies and power demand. LPG bubbles are influenced by global oil prices and domestic policy regulations. Therefore, based on the timely bubble detection method, policymakers may take ex ante measures, such as regularly assessing the risk of bubbles and augmenting supply in the spot market, rather than simply adopting ex post strict price control. Additionally, investors and entrepreneurs can take early risk-hedging steps to reduce potential losses.

Authors

Institutions

Publication Details

Journal
Applied Economics
Published
2024-08-26
DOI
https://doi.org/10.1080/00036846.2024.2396087
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Detecting speculative bubbles in the Chinese energy market: evidence from a GSADF test

Sirui Li, Luo Jing
1 citations
Applied Economics
Market Dynamics and Volatility
1.13
article

Detecting speculative bubbles in the Chinese energy market: evidence from a GSADF test

Sirui Li, Luo Jing
article en
1 citations

Abstract

Analysing bubbles in China's energy futures market facilitates the identification of the unique driving factors of bubbles in emerging markets. We apply the Generalized Supremum Augmented Dickey-Fuller (GSADF) and Supremum Augmented Dickey-Fuller (SADF) to verify the bubbles of crude oil (SC), power coal (ZC) and liquefied petroleum gas (LPG). Furthermore, we use the GSADF method to identify the definite generation and bursting times of these futures. The empirical results show that three bubbles occurred in the SC and LPG markets between 22 June 2020 and 26 September 2022 while four occurred in ZC during the same period. As an international commodity, SC bubbles are highly influenced by global factors, such as the global economy and geopolitical situation. In China, ZC bubbles are mainly influenced by domestic factors, such as price guidance, environmental protection policies and power demand. LPG bubbles are influenced by global oil prices and domestic policy regulations. Therefore, based on the timely bubble detection method, policymakers may take ex ante measures, such as regularly assessing the risk of bubbles and augmenting supply in the spot market, rather than simply adopting ex post strict price control. Additionally, investors and entrepreneurs can take early risk-hedging steps to reduce potential losses.

Applied EconomicsVol. 57(49)
Southwestern University of Finance and Economics (CN)
Affordable and clean energy
Openalex Percentile: Top 12%
Market Dynamics and Volatility
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Detecting speculative bubbles in the Chinese energy market: evidence from a GSADF test — Sirui Li, Luo Jing · Applied Economics (2024) | TGRS Research Map | TGRS