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We compare the financial stock performance of companies that participate in the Carbon Efficient Index (ICO2) and those that participate only in market-wide indices of the BM&FBovespa (the IBOV, IBrX50, and IBrX100). The data includes the daily quotations of the shares from these four indices for September 2010 to December 2014. We exclude companies from market-wide indices that also participated in the ICO2. We use the stock market and average volume liquidity indices in order to analyze liquidity. We employ financial indicators to analyze the performance of the indices. Returns of companies participating in the ICO2 exceed those of all other companies except those participating in the IBrX50. The returns of all indices are statistically similar. There is a proven long-term equilibrium relationship between the indices’ returns. The ICO2 does not present obvious superiority in terms of the Sharpe and Jensen indices, although the results surpass those of the market-wide indices. Although the financial performance of sustainable companies does not surpass that of other companies, the economic benefits are similar. Thus, even though the financial result presents no significant difference, it is crucial to acknowledge that investing in sustainable stocks does not result in financial loss; rather, it has a positive environmental impact. The literature connecting the performance of the shares of the ICO2 and broad indices is scarce. Our study improves understanding of how company stocks can generate economic benefits to both society and companies.

Corporate social responsibility (CSR) and corporate sustainability have gained prominence in the major capital markets. In Brazil, the São Paulo Stock Exchange (BM&FBovespa) has created the Corporate Sustainability Index (ISE) and the Carbon Efficient Index (ICO2), responsible for indicating the performance of sustainable companies. Therefore, this study proposes to examine and compare the stock returns of the sustainability index member companies with the returns of companies out of these indexes. In this methodology we selected the two principal negotiability indexes of that market (IBOV and IBrX50), which are indexes that meet the most traded stocks of BM&FBovespa, and calculated the average daily returns of the four indexes in order to make performance comparisons over the period 2005–2014, based on nonparametric statistical tests. Our findings indicate that the average returns of sustainability indexes were higher, but these differences were not statistically significant, confirming previous evidence. Additionally, by means of a cointegration test, we found that the indexes are cointegrated in the long term. These findings are limited to the analyzed emerging market and are also subject to the limitations of the estimated models. Thus, we can infer that presence in the sustainability indexes does not indicate statistically significant higher returns, which means that companies with sustainable practices in Brazil are not only concerned with economic performance, but also with social, cultural, and environmental issues. The main findings are aligned with the concept of triple bottom line, even in the case of an emerging market.

This study aims to examine the attractiveness of the regional Dow Jones Sustainability Indexes (DJSI) and several renewable energy indexes during December 31, 2010 to December 31, 2019. This study uses a risk-return analysis and a set of explanatory factors. Lastly, this study conducts a comparative analysis of these indexes with conventional indexes.

This study uses data from Eikon, a Thomson Reuters database. To analyze the indexes’ behavior, this study uses the indexes’ annual return as of December 31 for each year. Next, this study estimates the Fama and French’s five-factor model using an ordinary least squares regression for regional DJSI and renewable energy indexes.

The results show that regional DJSIs delivered returns both above and below conventional indexes. In contrast, renewable energy indexes had high betas and negative returns, making them unattractive to investors.

The results imply the need for public financing programs that support the transition to a sustainable economy and reduce risk and increase the return on private investment.

This study provides insights for policymakers regarding the importance of sustainability indexes in the transition to a green economy.

This study contributes to the growing literature on Fama and French’s five-factor model of sustainability indexes, especially in the current context characterized by intense green political changes. In particular, this study complements the few studies that have addressed the economic implications of renewable energy indexes in markets.

This paper aims to investigate the impact of climate change news on the dynamics of US stock indices.

The empirical basis of the study was 3,209 news articles. Sentiment analysis was performed by a pre-trained bidirectional FinBERT neural network. Thematic modeling is based on the neural network, BERTopic.

The results show that news sentiment can influence the dynamics of stock indices. In addition, five main news topics (finance and politics natural disasters and consequences industrial sector and Innovations activism and culture coronavirus pandemic) were identified, which showed a significant impact on the financial market.

First, we extend the theoretical concepts. This study applies signaling theory and overreaction theory to the US stock market in the context of climate change. Second, in addition to the news sentiment, the impact of major news topics on US stock market returns is examined. Third, we examine the impact of sentimental and thematic news variables on US stock market indicators of economic sectors. Previous works reveal the impact of climate change news on specific sectors of the economy. This paper includes stock indices of the economic sectors most related to the topic of climate change. Fourth, the research methodology consists of modern algorithms. An advanced textual analysis method for sentiment classification is applied: a pre-trained bidirectional FinBERT neural network. Modern thematic modeling is carried out using a model based on the neural network, BERTopic. The most extensive topics are “finance and politics of climate change” and “natural disasters and consequences.”

We examined the dynamic volatility connectedness and diversification strategies among US real estate investment trusts (REITs) and green finance indices.

The DCC-GARCH dynamic connectedness framework and he DCC-GARCH t-copula model were employed in this study.

Using daily data from 2,206 observations spanning from 2 January 2015 to 31 January 2023 this paper presents the following findings: (1) cross-market spillovers exhibited a high correlation and significant fluctuations, particularly during extreme events; (2) our analysis confirmed that REIT acted as net receivers from other green indices, with the S&P North America Large-MidCap Carbon Efficient Index dominating the in-network volatility spillover; (3) this observation suggests asymmetric spillovers between the two markets and (4) a portfolio analysis was conducted using the DCC-GARCH t-copula framework to estimate hedging ratios and portfolio weights for these indices. When REIT and the Dow Jones US Select ESG REIT Index were simultaneously added to a risk-hedged portfolio, our findings indicated that no risk-hedging effect could be achieved. Moreover, the cost and performance of hedging green assets using REIT were found to be comparable.

We first examined the dynamic volatility connectedness and diversification strategies among US REITs and green finance indices. The outcomes of this study carry practical implications for market participants.

The primary purpose of this study is to investigate the impact of carbon productivity on firms' financial performance. Secondly, the study also examines the moderating effect of industry types and firm size in the relationship between productivity and firm performance.

The data used for the study includes 66 listed Indian firms over the period from 2015–2016 to 2019–2020. The data used in the study are collected from the published corporate annual reports and sustainability reports. The study uses a random effect model based on the results of the Hausman test and the Breusch-Pagan test to investigate its objectives.

Carbon productivity has a favorable impact on firms' financial performance in India, indicating that firms may gain competitive advantages by minimizing carbon emissions and improving carbon productivity. Small and high carbon-intensive firms reap greater benefits from the improvement in carbon productivity compared to their opposite counterparts. However, such differential impact is only observed for the market-based measure but not for the accounting-based measure of financial performance.

The results suggest that high carbon-intensive firms should focus more on improving carbon productivity. Small firms and firms belonging to high carbon-intensive industries can improve their market performance by improving carbon productivity.

This study is a noble attempt to investigate the moderating effect of industry type and firm size while examining the impact of carbon productivity on firm performance in the context of an emerging economy.

By testing the weak form of efficient market hypothesis (EMH) this study aims to forecast the short-term stock prices of the US Dow and Jones environmental socially responsible index (SRI) and Shariah compliance index (SCI).

This study checks the validity of the weak form of EMH for both SCI and SRI prices by using different parametric and non-parametric tests, i.e. augmented Dickey-Fuller test, Philip-Perron test, runs test and variance ratio test. If the EMH is invalid, the research further forecasts short-term stock prices by applying autoregressive integrated moving average (ARIMA) model using daily price data from 2010 to 2018.

The research confirms that a weak form of EMH is not valid in the US SRI and SCI. The historical data can predict short-term future price movements by using technical ARIMA model.

This study provides better guidance to risk-averse national and international investors to earn higher returns in the US SRI and SCI. This study can be extended to test the EMH of Islamic equity in the Middle East and North Africa region and other top Islamic indexes in the world.

This study is a new addition to the existing literature of equity investment and price forecasting by comparing and investigating the market efficiency of two interrelated US SRI and SCI.

This study aims to provide a precise understanding of how corporate sustainability information is used in socially responsible investing (SRI). The study is motivated by the lack of a recognised body of knowledge on this issue. This study, therefore, collates and reviews relevant studies (67 studies) to provide guidance to investors interested in SRI and identify a research agenda for academics desiring to contribute to this area.

This study conducts a systemic literature review employing recognised key words and searching the Web of Science. HistCite is utilised to ensure important cited studies are not missed from the collection. The review was conducted from two perspectives: (1) sources of sustainability information and (2) how the information is used in SRI.

The review identifies five major sources of sustainability information, including corporate reports, ESG ratings, industry affiliation, news and private communication with firms. These sources of information play different roles in the cross section of SRI strategies (i.e. negative and positive screening, active ownership and integration). This study provides guidance on how to use this information in SRI and provides recommendations for future research on how analysts interact with the information, how different informational characteristics impact implementation, ways to improve data quality, improvements to analysis methods and where data use needs to be extended into new strategies.

This review contributes to the SRI literature by inventorying studies of an important, yet omitted aspect, namely, sustainability information. This work also enriches the literature on corporate sustainability information by investigating how this information can be used for a specific purpose, namely, SRI. Given the increasing interest in SRI, this review will provide much-needed guidance for a range of practitioners, including investors and regulators.