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PurposeThis study unravels an attempt to investigate the dynamic connectedness of agri-commodity (wheat) of Russia with 10 financial markets of wheat importing counties during the Russia–Ukraine invasion.Design/methodology/approachThis study took the daily prices of Wheat FOB Black Sea Index (Russia) along with stock indices of 10 major wheat-importing nations of Russia and Ukraine. The time frame for this study ranges from February 24, 2022 to July 31, 2022. This time frame was selected since it fully examines all of the effects of the crisis. The conditional correlations and volatility spillovers of these indices are predicted using the DCC-GARCH model, Diebold and Yilmaz (2012) and Baruník and Křehlík (2018) models.FindingsIt is found that there is dynamic linkage of agri-commodity of with stock markets of Iraq, Pakistan and Tanzania in short run while stock markets of Egypt, Turkey, Bangladesh, Pakistan, Brazil and Iraq are spilled by agri-commodity in long run. In addition, it documents that there is large spillover in short run than medium and long run comparatively. This signifies that investors have more diversification opportunity in short run then long run contemplating to invest in these markets.Originality/valueTo the best of the authors’ understanding this is the first study to undertake the dynamic linkage of agri-commodity (wheat) of Russia with financial market of select importing counties during the Russia–Ukraine invasion.

The present study examines the impact of corporate social responsibility (CSR) on competitive performance of Indian companies. The proxies for the CSR and competitive performance are CSR expenditure and price to book ratio, respectively. The study is based on the 32 companies awarded by CII-ITC Sustainability Awards during 2010–2011 to 2017–2018. After collecting the data of price to book ratio, leverage, CSR expenditure and revenue of entire sample companies, panel data regression has been used to observe the impact of CSR on competitive performance. The results reveal insignificant relationship between CSR and competitive performance. It is noticed that firms do not have a CSR strategy that unifies the diverse range of a company’s philanthropic initiatives under one umbrella. Hence, the present study suggests to embed CSR into the company’s core business strategy.

The study is about contributing to the ongoing discussion on the diversification opportunities for emerging markets with non-conventional asset class. The limited literature in the era of fourth industrial revolution motivates us to gauge diversification opportunities. This study is focusing on identifying diversification opportunities with a set of unique asset classes that are the proxies for Green Funds, FinTech and Artificial Intelligence-based index funds. The method and model applied in the study are time and frequency connectedness in a Wavelet Coherence, and for the robustness check—Network analysis has been applied. The originality of the study lies in identifying the impact of the outbreak of COVID-19. The results captured that FinTech-based asset was the most resilient asset class during the pre- and post-outbreak of COVID-19, followed by AI-based fund and finally by Green fund. Henceforth, FinTech provides superior diversification opportunities among all with MSCI Emerging Market. AI and Green funds are captured to be invested in the long term for diversification, whereas FinTech is suitable for both long- and short-term assets. The results are relevant for investors in emerging markets and for policymakers as well.

Financial literacy is an ability of individual to take considerable decisions in respect of the effective and efficient utilization of money. In present study, authors have presented an association of financial knowledge, financial behaviour and financial attitude towards the financial literacy level among working women in Delhi, India. The sample size of 394 working women from various public and private organizations of Delhi has been incorporated for the research. A structured questionnaire designed on a 5-point Likert scale has been used based on purposive sampling, and the goodness of fit is determined by analysis of moments structures (AMOS) by applying structural equation modeling approach (SEM). The association between three independent variables is investigated applying path analysis for hypothesis testing. The findings revealed that financial attitude and financial behaviour have strong association with financial literacy of working women than financial knowledge.

COVID-19 quickly spread all over the world and dramatically affected the financial markets in almost everycountry. Its spread created havoc in the market, and investors fearing risk suffereda significant amount of financialloss in a very short time. This article aims to analyze the impact of COVID-19 on stock markets in the top six affected countries based on the total number of cases confirmed. In addition, it also analyzes the stock market volatility caused by the virus and the abnormal returns generated by the markets during the pandemic. We employevent study methodology in different sub-periods to examine the most volatile event periods with the daily rise in the Covid cases and subsequent returns generated by the markets during these sub-periodsin relation to the daily rise in the case. The increase in volatility and the presence of significant abnormal returns among the sample indices show the impact of COVID-19 on stock markets. The result reveals that Brazilian stock indices show the highest decline among the selected countries, with a fall of more than 50% during the pandemic, while Mexican indices show the lowest fall of around 30% during the same period.

The rational investors want to maximise their invested amount. It will happen only if one knows the possibility of arbitrage opportunity in market. If stock market is efficient, one cannot generate abnormal profit. The objective of the present study is to test the weak market efficiency of Indian Stock Market. The stock indices are Sensex and Nifty. The daily adjusted closing price of these two companies is collected from October 8, 2012 to October 5, 2018. The variance ratio test was employed to test the weak market efficiency. The result revealed that Indian market is not efficient. It is found that technical analysts can generate excess return in Indian Stock Market both in Sensex and Nifty.