Exploring Market Efficiency of the S and P BSE CARBONEX: A Quantitative Study

The Principles for Responsible Investment (PRI) emphasise the fundamental connection between adhering to ESG standards and managing investment risk effectively, revealing that non-compliant companies carry a 28 per cent higher annual risk compared to their ESG-compliant counterparts. This relationship underscores the importance of integrating sustainability practices into financial performance and aligns with the Efficient Market Hypothesis (EMH), which suggests that market information is quickly incorporated into stock prices, thereby constraining investors’ capacity to achieve superior returns. This study utilises a quantitative research approach to examine the conformity of 17 companies listed on the BSE Carbon Index with the principles of the EMH. Daily, weekly, and monthly data were collected, and statistical tools such were employed for analysis. The findings suggest a deviation from the Random Walk Hypothesis within the stock return series, leading to the rejection of the formulated hypotheses. The empirical findings challenge the applicability of the EMH within the S&P BSE CARBONEX, urging investors to consider sustainability practices in their investment decisions. These insights are pivotal for stakeholders navigating sustainability-focused investment landscapes, providing valuable guidance for aligning investment strategies with sustainability imperatives.

Authors

Publication Details

Journal
Journal of Commerce and Accounting Research
Published
2025-01-01
DOI
https://doi.org/10.21863/jcar/2025.14.2.002
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring Market Efficiency of the S and P BSE CARBONEX: A Quantitative Study

Shilpa Bhide, Mithilesh Gidage
Journal of Commerce and Accounting Research
Big Data and Business Intelligence
article

Exploring Market Efficiency of the S and P BSE CARBONEX: A Quantitative Study

Shilpa Bhide, Mithilesh Gidage
article en

Abstract

The Principles for Responsible Investment (PRI) emphasise the fundamental connection between adhering to ESG standards and managing investment risk effectively, revealing that non-compliant companies carry a 28 per cent higher annual risk compared to their ESG-compliant counterparts. This relationship underscores the importance of integrating sustainability practices into financial performance and aligns with the Efficient Market Hypothesis (EMH), which suggests that market information is quickly incorporated into stock prices, thereby constraining investors’ capacity to achieve superior returns. This study utilises a quantitative research approach to examine the conformity of 17 companies listed on the BSE Carbon Index with the principles of the EMH. Daily, weekly, and monthly data were collected, and statistical tools such were employed for analysis. The findings suggest a deviation from the Random Walk Hypothesis within the stock return series, leading to the rejection of the formulated hypotheses. The empirical findings challenge the applicability of the EMH within the S&P BSE CARBONEX, urging investors to consider sustainability practices in their investment decisions. These insights are pivotal for stakeholders navigating sustainability-focused investment landscapes, providing valuable guidance for aligning investment strategies with sustainability imperatives.

Journal of Commerce and Accounting ResearchVol. 14(2)
Openalex Percentile: Top 92%
Big Data and Business Intelligence
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.