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Analysing the presence of volatility clustering and impact of macro-economic variables on sustainability indices in India: using GARCH (1, 1) model and ARDL framework

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  • Kanchan Sehrawat
  • Muskan Kaur
  • Madhu Vij

Abstract

Increasing environmental consciousness among various stakeholders of financial markets has led to the introduction of GREENEX and CARBONEX indices by Bombay Stock Exchange (BSE). This study is an attempt to analyse the impact of macro-economic variables, namely growth rate (GDP), inflation (WPI) and exchange rate (FOREX) on both the sustainability indices. The paper also attempts to find the presence of volatility clustering in the sustainability indices of India. The cointegration amongst the macro-economic variables and sustainability indices is tested through auto-regressive distributive lag (ARDL) Approach and significant results are achieved for both the indices. The volatility clustering for GREENEX and CARBONEX is tested through GARCH (1, 1) model and significant volatility clustering is established for both the indices. These significant relationships highlight that the macro-economic variables have a significant and crucial impact on sustainability of the Indian economy. Any measure taken to improve the growth rate, exchange rate, or inflation shall significantly facilitate sustainability in the Indian economy, further reducing the volatility in stock market and economy.

Suggested Citation

  • Kanchan Sehrawat & Muskan Kaur & Madhu Vij, 2022. "Analysing the presence of volatility clustering and impact of macro-economic variables on sustainability indices in India: using GARCH (1, 1) model and ARDL framework," International Journal of Global Environmental Issues, Inderscience Enterprises Ltd, vol. 21(2/3/4), pages 372-389.
  • Handle: RePEc:ids:ijgenv:v:21:y:2022:i:2/3/4:p:372-389
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