The present study empirically verifies the potential determinants of capital flows into the emerging countries. The study mainly focuses on the role of recently proposed variables viz economic policy uncertainty, geopolitical risk, and environmental performance index. We use balanced panel data for 13 countries spanning from the year 2002 to 2021. The study employs recently developed Machado and Silva (2019) method of moments quantile regression analysis to examine the drivers of capital flows. The study also employs dynamic panel data estimators which contain fully modified ordinary least square (FMOLS), and dynamic ordinary least square (DOLS), models to check the robustness and consistency of the results. The overall results show that lagged FDIt-1, market size (GDPG), trade openness, economic freedom index, GPRC, and EPI have positive and significant effects on FDI inflows in the sample countries. The findings of the study bear significant implications for government, policy makers, and investors in several ways. The market size plays an important role in determining FDI inflows. Policymakers need to mainly focus on economic conditions of the developing countries. The findings also help to formulate the economic and monetary policies that can boost the FDI inflows. Finally, foreign investors (home countries) carefully look at the state-of-affairs of the economic policy uncertainty, geopolitical risk, and environmental sustainability before they park their money in the host countries.

The present study explores the dynamic return connectedness and spillover effects between Shariah Islamic indices and the commodity futures market during the black swan events such as the COVID-19 pandemic and the Russia-Ukraine war. The study employs a newly proposed quantile vector autoregression (QVAR) spillover approach of Chatziantoniou et al. (2021) on daily data from May 7, 2014, to September 29, 2023. Further, we divide the full sample into three sub-periods: pre-COVID-19, post-COVID-19, and the Russia-Ukraine war. The study results show a strong total spillover connectedness between Shariah Islamic indices and the commodity futures market during the entire study period. Further, the study also finds that the net directional connectedness results document that the Shariah Islamic indices exhibit the highest source of shocks to commodity futures returns in the lower and upper quantiles. The overall results show a strong and significant time-varying connectedness between Shariah Islamic indices and commodity futures returns during the black swan events.

This study evaluates the effect of internal carbon pricing (ICP) disclosure on the financial performance of publicly listed firms in India, an emerging economy. Firm performance is measured through return on assets (ROA), return on equity (ROE), return on capital employed (ROCE), and earnings per share (EPS). Employing Panel-Corrected Standard Errors (PCSE) and two-stage least squares (2SLS), the analysis reveals consistent positive associations for ROA, ROE, and EPS, with ROCE positive but insignificant. Findings underscore ICP disclosure as a strategic sustainability mechanism that strengthens corporate accountability, enhances firm value, and informs policy debates on climate-related financial disclosure in emerging markets.

We verify the effect of ESG disclosures on firm performance using NSE 500 index listed companies spanning from 2010 to 2020. The study employs a method-of-moments quantile regression approach to test whether ESG disclosures lead to superior firm performance. We find evidence that environmental, social, and governance disclosures positively influence firm performance. Higher quantiles of ESG disclosures are associated with better market performance (Tobin's Q), and the same lead to lower profitability (ROA). The present study suggests that companies aspiring to improve their financial performance may pay more attention to ESG disclosure practices.

In this paper, we examine the influence of ESG disclosure scores on firm performance of companies listed in the National Stock Exchange (NSE). The study uses 167 sample firms from 2010 to 2020. We capitalise overall ESG disclosure scores taken as a proxy to measure the effect of sustainability disclosure on firm performance. Further, we consider the return on assets (ROA), return on equity (ROE), Tobin's Q, and Price Earnings ratio (P/E ratio) as firm performance measures. We employ dynamic panel data regression analysis to examine the influence of ESG disclosures on performance of the firm. In order, to address the endogeneity issues, we apply Generalised Method of Moments (GMM) model. The study results show a positive relationship between ESG disclosure and firm performance. It suggests that companies’ desire to enhance their performance need to pay more attention towards sustainability disclosures.

In this paper, we examine the persistence of large-cap equity mutual funds performance, market timing skills, and selectivity of fund managers in India. The study uses monthly data of net assets values (NAV), market capitalization, and price to book ratio. The sample data period is from January 2000 to December 2019. We employ the methodology of Jensen (1968), Fama-French (1993), and Carhart (1997) models for forming portfolios and mimicking portfolios. The results reveal that the benchmark market index outperforms mutual funds. Moreover, there is a little evidence showing that Indian fund managers who consistently work on large-cap equity funds can generate abnormal returns.

Purpose: The present study aims to verify whether there is a positive (negative) role being played by the institutional investors on the loss-making companies' performance. Design/methodology/approach: The authors employ panel data regression and two-step system generalised method of moments (SYS-GMM) to test the above objective. Findings: The empirical results clearly show that no positive relation is found between institutional investors and loss-making companies' performance. Research limitations/implications: The findings of the study might have significant implications for firms to improve the firms' operational performance [return on assets (ROA)]. Also, the firm's financial performance [return on equity (ROE)] could be improved by increasing profitability which will reflect in the share prices of the firms whereby the performance can build the investors' confidence over the firm. Market performance (Tobin's Q) could be increased by providing more attractive offers and discounts to customers to capture the business opportunities available in the market. Practical implications: The overall findings might have for reaching implications in the manufacturing sector with regard to allowing (disallowing) institutional investors. Social implications: The results of the study may help both companies and institutional investors. Originality/value: This is the maiden attempt to study whether loss-making companies could be positively (negatively) impacted by the arrival of sophisticated institutional investors [foreign institutional investors (FIIs) and domestic institutional investors (DIIs)]. Further, this study is largely different from previous studies in terms of using new variables which are related to firm characteristics and valuation multiples. Further, seeing if the institutional investors tend to enhance the firm performance is curious.