Sustainability-related disclosure rules and financial market indicators: Searching for interconnections in developed and developing countries

The purpose of the paper is to select the right market proxy for calculating the expected return, since critically evaluating proxies or selecting the correct proxy market portfolio is essential for portfolio management because the change in the market portfolio proxy affects returns. In this study, monthly data of equity indices are evaluated to find out the better market proxy. The indices taken are BSE 30 (Sensex), Nifty 50, BSE 100, BSE 200, and BSE 500. The macroeconomic variables used in the study are industrial production index (IIP), consumer price index (CPI), money supply (M1), and exchange rate in India. To avoid the influence of COVID-19, the research period was from January 2013 to December 2019 to critically evaluate these proxies in order to find the most appropriate market proxy. This paper reveals a noteworthy relationship between stock market returns and macroeconomic factors, while suggesting that the BSE 500 is a better choice for all equity indices, as the index also shows a significant relationship with all macroeconomic variables. BSE500 is a composite index comprising all sectors with low, mid and large cap securities, therefore it reflects the impact of macroeconomic factors most efficiently, taking it as a market proxy. This study was carried out in the context of India and can be replicated for other countries.

The current empirical study attempts to analyze the impact of COVID-19 on the performance of the Indian stock market concerning two composite indices (BSE 500 and BSE Sensex) and eight sectoral indices of Bombay Stock Exchange (BSE) (Auto, Bankex, Consumer Durables, Capital Goods, Fast Moving Consumer Goods, Health Care, Information Technology, and Realty) of India, and compare the composite indices of India with three global indexes S&P 500, Nikkei 225, and FTSE 100. The daily data from January 2019 to May 2020 have been considered in this study. GLS regression has been applied to assess the impact of COVID-19 on the multiple measures of volatility, namely standard deviation, skewness, and kurtosis of all indices. All indices’ key findings show lower mean daily return than specific, negative returns in the crisis period compared to the pre-crisis period. The standard deviation of all the indices has gone up, the skewness has become negative, and the kurtosis values are exceptionally large. The relation between indices has increased during the crisis period. The Indian stock market depicts roughly the same standard deviation as the global markets but has higher negative skewness and higher positive kurtosis of returns, making the market seem more volatile.

Type of the article: Research Article

Abstract
This study investigates the impact of greenwashing in ESG disclosure on firms’ ability to create shared value (CSV) by focusing on the mediating roles of disclosure quality and information asymmetry across different institutional contexts. The analysis is based on 391 firm-year observations of non-financial companies listed in Indonesia (277) and Malaysia (114) from 2018 to 2023, based on annual reports, sustainability disclosures, and Refinitiv ESG data. Random-effects panel regressions and bootstrapped mediation tests were used to evaluate direct and indirect effects. The results showed that greenwashing does not exert a significant direct influence on CSV in either country. However, in Malaysia, greenwashing significantly reduces information quality, which, in turn, undermines shared-value creation (indirect effect is significant). In Indonesia, although greenwashing negatively affects information quality, the subsequent link between disclosure quality and CSV is insignificant, resulting in no mediation effect. ESG disclosure quality, as a proxy for information asymmetry, does not mediate the greenwashing–CSV relationship in either country. These findings highlight the cross-country differences shaped by institutional environments: stronger regulatory oversight and stakeholder scrutiny in Malaysia amplify the mediating role of disclosure credibility, whereas weaker governance in Indonesia attenuates its relevance. This study contributes to the sustainability accounting literature by integrating symbolic compliance theory with the CSV framework and provides evidence that the credibility of ESG information is a critical determinant of value creation in emerging economies.

Acknowledgment
We express our gratitude to the Faculty of Economics and Business, Universitas Brawijaya, Indonesia, and the Faculty of Business and Economics, Universiti Malaya, Malaysia, for supporting this research collaboration.