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Monetary Policy, Industrial Activity, and India’s Sustainability Indices

金融政策、産業活動、インドのサステナビリティ・インデックス (AI 翻訳)

Parikshita Mendiratta, D. Mehrotra

The Journal of Theoretical Accounting Research📚 査読済 / ジャーナル2026-05-26#ESG経営インパクト: 資金調達対象セクター: finance
DOI: 10.1922/mq8hz229
原典: https://doi.org/10.1922/mq8hz229

🤖 gxceed AI 要約

日本語

本研究は、インドの代表的なサステナビリティ・インデックス(S&P BSE CarbonexおよびGreenex)と、政策金利(レポレート)および鉱工業生産指数(IIP)との関係を分析。ARDLモデルとGARCHファミリーを用い、長期的な共統合関係や非対称なボラティリティを検出。レポレート上昇は指数に負の影響、IIP成長は正の影響を与えることを示した。

English

This study examines the relationship between India's sustainability indices (S&P BSE Carbonex and Greenex) and macroeconomic variables (repo rate, IIP). Using ARDL and GARCH models, it finds a stable long-run relationship: higher repo rates negatively affect index returns, while industrial production growth has a positive effect. Volatility is persistent and asymmetric, with Greenex showing lower volatility and faster mean reversion than Carbonex.

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

インドのサステナビリティ指数に関する実証研究であるが、日本のSSBJや有報への直接的な示唆は限定的。ただし、新興国におけるESG指数とマクロ経済の連動を示す知見は、日本企業のグローバル投資家対応に参考となる可能性がある。

In the global GX context

This paper provides evidence on how sustainability indices respond to monetary policy and industrial activity in an emerging market, contributing to the global understanding of green finance dynamics. It offers insights for investors and policymakers interested in the stability of sustainable capital markets, though the Japan-specific context is indirect.

👥 読者別の含意

🔬研究者:Useful for researchers studying sustainable finance and macroeconomic linkages in emerging markets.

🏢実務担当者:Investment professionals may consider how monetary policy and industrial activity affect sustainability index performance.

🏛政策担当者:Policymakers in emerging economies can note the sensitivity of green indices to interest rates and industrial output.

📄 Abstract(原文)

Sustainable investing has become an important part of modern financial markets, especially in emerging economies where environmental goals increasingly align with economic development. In this setting, it is essential to understand how sustainability-oriented stock indices respond to domestic macroeconomic conditions. This study examines the relationship between two key macroeconomic indicators—the policy interest rate (repo rate) and the Index of Industrial Production (IIP)—and the performance of India’s leading sustainability indices, namely the S&P BSE Carbonex and the S&P BSE Greenex. The analysis is based on monthly data from November 2012 to March 2024. The Autoregressive Distributed Lag (ARDL) bounds testing approach and the associated Error Correction Model (ECM) are employed to investigate long-run relationships and short-run dynamics. To analyse volatility behaviour, GARCH, EGARCH, and TGARCH models are used. In addition, the Capital Asset Pricing Model (CAPM) is applied to examine the risk–return characteristics of the sustainability indices relative to conventional market benchmarks. The results indicate the presence of a stable long-run relationship between sustainability index returns and the selected macroeconomic variables. An increase in the repo rate has a negative effect on index performance, suggesting that tighter monetary conditions weaken equity returns. In contrast, growth in industrial production supports sustainability index performance by signalling improvement in real economic activity. The short-run results show that deviations from equilibrium are corrected relatively quickly, implying that sustainability indices respond promptly to changes in macroeconomic conditions. Volatility analysis reveals persistent and asymmetric behaviour, where negative shocks increase volatility more than positive shocks. The Greenex displays lower volatility and faster mean reversion compared with the Carbonex, indicating relatively greater stability. From a sustainability accounting perspective, the findings additionally suggest that sustainability-oriented stock indices may reflect investor responses to ESG-related corporate signals and environmental accountability. The study therefore contributes to emerging discussions on the value relevance of sustainability-related information within developing capital markets. The study adds to the growing literature on sustainable finance in emerging markets and offers useful insights for investors and policymakers concerned with the development of stable and resilient green capital markets

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