原油・欧州ガス・EU排出枠価格間の動的連関性
Dynamic connectedness between oil, European gas and EU carbon allowance prices (原題)
Robin Kunju Mol Raj, Marek Vochozka, Yelyzaveta Shebalkova
🤖 gxceed AI 要約
日本語
原油・欧州天然ガス・EU ETS排出枠価格の間のショック伝播と方向性連関をTVP-VARモデルで分析。2022年エネルギー危機時の構造変化に着目し、週次・日次データやブートストラップ推論で頑健性を検証した。全体の連関は弱く、炭素価格がガス価格ショックの伝送経路となったという頑健な証拠は得られなかった。
English
Using a TVP-VAR model, this study examines shock transmission among Brent crude, TTF gas, and EU ETS allowance prices during the 2022 energy crisis. Overall connectedness is weak (~10% of forecast-error variance), and the apparent decline around Russia's invasion is not robust to bootstrap inference or daily data. No robust evidence shows EU allowances became a transmission channel for the gas shock.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
EU ETS価格の金融市場連動性を検証する本稿は、日本での炭素価格制度（GXリーグ・炭素賦課金）設計や排出量取引市場の価格形成メカニズムを議論する際の参照材料となる。炭素価格がエネルギー価格ショックを増幅するか否かは、日本企業の炭素コスト予見性を考える上で示唆に富む。
In the global GX context
As carbon pricing expands under EU ETS and emerging Asian schemes, understanding whether allowance prices transmit energy-market shocks matters for transition finance and carbon-risk modeling. The paper's null result tempers assumptions that carbon markets amplify fossil-fuel volatility, relevant to ISSB/TCFD climate-risk disclosure.
👥 読者別の含意
🔬研究者:炭素価格とエネルギー市場の連関を頑健性検証付きで示す実証手法の参考になる。
🏢実務担当者:炭素価格がエネルギー価格変動を直接増幅する証拠は弱く、炭素コスト予測の過度な警戒は不要との示唆。
🏛政策担当者:排出量取引市場の価格安定性とエネルギー危機時の制度設計を検討する際の実証的根拠となる。
📄 Abstract（原文）
This study examines shock transmission and directional connectedness among crude oil, European natural gas, and EU carbon allowance markets, focusing on structural changes during the 2022 European energy crisis. Using weekly returns on Brent crude oil, Dutch TTF gas futures, and EU Emissions Trading System (EU ETS) primary-auction allowance prices from November 2017 to December 2025, we employ a time-varying parameter vector autoregressive (TVP-VAR) model and generalized forecast-error variance decomposition. The analysis incorporates full-model bootstrap inference, formal structural-break tests, and extensive robustness checks across model specifications, data frequencies, alternative price series, and an electricity-market extension. Results indicate weak overall connectedness, with cross-market spillovers explaining approximately 10% of forecast-error variance and exhibiting cyclical fluctuations without a sustained trend. In the weekly baseline, connectedness declined by approximately 13 percentage points around Russia’s invasion of Ukraine, accompanied by weaker oil–carbon dependence. However, this decline is not supported by full-model bootstrap inference or daily data. Carbon allowances are net receivers of forecast-error variance in the weekly baseline, primarily from oil through a one-week lag, but this finding is sensitive to sampling frequency and sample period, with bootstrap confidence intervals including zero. Crisis-related changes in carbon’s net position are similarly not robust and differ in sign between weekly and daily data. The electricity extension reveals strong gas-to-electricity spillovers but limited net connectedness between electricity and carbon allowances. Overall, the findings provide no robust evidence that EU carbon allowances became a transmission channel for the 2022 gas shock at the weekly frequency.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1007/s44274-026-01183-4first seen 2026-11-13 05:48:27
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