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ESG driven pairs algorithm for sustainable trading: Analysis from the Indian market

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  • Eeshaan Dutta
  • Sarthak Diwan
  • Siddhartha P. Chakrabarty

Abstract

This paper proposes an algorithmic trading framework integrating Environmental, Social, and Governance (ESG) ratings with a pairs trading strategy. It addresses the demand for socially responsible investment solutions by developing a unique algorithm blending ESG data with methods for identifying co-integrated stocks. This allows selecting profitable pairs adhering to ESG principles. Further, it incorporates technical indicators for optimal trade execution within this sustainability framework. Extensive back-testing provides evidence of the model's effectiveness, consistently generating positive returns exceeding conventional pairs trading strategies, while upholding ESG principles. This paves the way for a transformative approach to algorithmic trading, offering insights for investors, policymakers, and academics.

Suggested Citation

  • Eeshaan Dutta & Sarthak Diwan & Siddhartha P. Chakrabarty, 2024. "ESG driven pairs algorithm for sustainable trading: Analysis from the Indian market," Papers 2401.14761, arXiv.org.
  • Handle: RePEc:arx:papers:2401.14761
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    References listed on IDEAS

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    2. Martin Hellmich & Rüdiger Kiesel, 2021. "Carbon Finance:A Risk Management View," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number q0325.
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