Sushant Malik

This paper analyzed the factors affecting consumers’ purchase intentions and decisions while purchasing wine. The study was performed based on the primary data collected with the help of a survey and a structured questionnaire using convenience sampling. A total of 120 respondents above 21 years old across India who were wine consumers and likely to purchase wine were the study population. Exploratory factor analysis, confirmatory factor analysis, descriptive analysis, and cluster analysis were the main methods used to analyze the data. The information gathered was subjected to further quantitative analysis using SPSS. Kaiser-Meyer-Olkin Measure (KMO) of sampling adequacy was 0.759, and Cronbach’s alpha was 0.817 indicating high reliability of the study. Factor analysis brought out six essential factors affecting the wine purchase decisions of Indian consumers. They are as follows: quality concerns, consumption preferences, consumption deterrents, consumption reasons, social factors, and risk factors. Furthermore, the study found that the purchase intentions of Indian wine consumers are affected by the attitude and awareness of consumers. The cluster analysis further helped to divide the Indian wine market into three segments, i.e., regular consumers comprising 44.2%, non-consumers comprising 29.2%, and occasional consumers comprising 26.7%. A few of the key factors influencing wine purchase are attributes and knowledge of the wine ingredients. In addition, friends and family play an important role in wine purchasing decisions.

The purpose of the study was to analyze the effectiveness of technical trading strategies in trading stocks of selected Indian companies represented in the Nifty 50 Index. The research was done using secondary data from January 2022 to August 2022. Hourly share prices of 14 largest companies as per market capitalization from 14 different sectors from the Nifty 50 Index were considered as a part of the study. Simple Moving Average, Exponential Moving Average – Relative Strength Index and Bollinger Bands – Relative Strength Index – strategies considered in the study. It was found that strategy based on Bollinger Bands and Relative Strength Index performed the best. Performance was considered with respect to both the number of stocks having a net profit and the number of stocks that were able to outperform the buy-and-hold strategy for the time period considered. The study considered several combined strategies and performance indicators, whereas previous studies used limited indicators. Out of the 14 stocks considered, the Simple Moving Average strategy was able to generate net profit for 8 stocks and it outperformed the buy-and-hold strategy for 6 stocks, Exponential Moving Average – Relative Strength Index strategy generated net profit for 6 stocks and it outperformed the buy-and-hold strategy for 5 stocks, and the Bollinger Bands – Relative Strength Index generated net profit for 11 stocks and it outperformed the buy-and-hold strategy for 10 stocks. The Bollinger Bands – Relative Strength Index strategy was able to outperform as it was more dynamic and entered and exited positions actively.

Farmer producer companies (FPCs), modern farmer collectives registered under India’s Companies Act, play a crucial role in providing core services like input supply, marketing, technical, and financial support, as well as auxiliary services such as social capital and consultancy, which are linked to higher economic performance and innovation. The study analyzes the levels of social capital among members and non-members of FPCs and their relationship to the economic performance of their members. The data on social capital were collected from 20 FPCs (292 members and 77 non-members) from Maharashtra state of India. Unpaired student T-tests and Mann-Whitney tests were performed to compare the levels of social capital among the members and non-members. OLS regression was performed to understand the difference in social capital and its effect on economic performance. The results reveal that all the indicators of social capital were significantly higher for the members (Mean = 4.27) than for non-members (Mean = 3.14). The social capital indicators related to membership and participation in groups (p-value < 0.10) and the sharing of production and other information (p-value < 0.01) positively affected economic performance. Higher levels of education (p-value < 0.05) and frequent contact with members (p-value < 0.01) positively affected, whereas higher landholding (p-value < 0.10) and years of membership (p-value < 0.01) negatively affected the economic performance of members. As the Indian government plans to add 10,000 FPCs in the next three years, the strategy to increase the social capital of FPCs may enhance the overall resilience and sustainability of rural economies.

The biggest challenge facing countries, including India, is creating and managing an LCR (low carbon resilient) economy, which balances the need for high growth rates and is environmentally sustainable. The green bond market provides investors the means to help change the economy into an LCR economy. The study was undertaken to understand the key drivers and the factors influencing the individual retail investor’s decision to invest in green bonds. A survey instrument was designed and administered through the snowball sampling technique to 125 Indian respondents of various age groups who were eligible to invest in the Indian bond market. SPSS software was used to conduct a descriptive analysis followed by regression and conjoint analyses. The study results suggest that the Environmental, Social, and Governance (ESG) rating and credit rating of the green bond issuers are the key factors that influence an individual’s investment decision. The findings also highlight that incentives such as tax exemptions and awareness of green bonds also affect an investor’s decision. This research stands out as one of the first attempts to understand the Indian retail investors’ perception of a green bond.

Type of the article: Research Article

Abstract
Foreign institutional investors (FIIs) have traditionally dominated the Indian equity markets. However, since 2020, the landscape has significantly transformed as the registered investor base at the National Stock Exchange, India, has tripled. This phenomenon is driven by the COVID-19 pandemic and the rise of ‘influencers’ or easy access to financial knowledge. This study investigates the long-term and causative relationship between the Nifty 50 index and the net flows of domestic institutional investors (DIIs) in the Indian stock market, using daily data from April 2017 to March 2022. Employing the Augmented Dickey-Fuller (ADF) test, Johansen cointegration tests, and Granger causality analysis, the findings reveal a long-term cointegrated relationship between the Nifty 50 and DIIs’ daily flow, both before and after COVID-19. The results reveal a bidirectional Granger causality between the Nifty 50 and DIIs (p-value < 0.02) and NIFTY 50 and FIIs (p-value < 0.00) in the post-COVID era, a shift from the unidirectional pattern observed pre-COVID between NIFTY 50 and DIIs. This indicates that traders and analysts may use DII flows as a leading indicator for NIFTY 50 movements. Studying DII’s interaction with the Nifty 50 index helps assess whether their investment patterns drive market movements or are reactive to them and highlights the resilience of Indian markets to external shocks.