The study’s aim is to investigate how FinTech users’ perceived risk influences their continuance intention to use FinTech services. The new model, which was based on the Expectation Confirmation Model, was created to achieve the study’s aim. The Partial Least Square Structural Equation Model was used to investigate the proposed model and the relationship between the adopted constructs. The sample consists of 802 individual survey responses from northern India from April to June 2022. The proposed model explains 45.4% of the variance in the continuance intention of FinTech users, which is significantly influenced by perceived usefulness and satisfaction. Furthermore, perceived risk, as a moderator, significantly moderates continuance intention through satisfaction and satisfaction through confirmation. However, perceived risk was found to have an insignificant moderating effect on the relationship between perceived usefulness and satisfaction as well as perceived usefulness and continuance intention. The findings provide insights to FinTech service providers about the factors that influence users’ intent to continue using FinTech services.
Fintech allows investors to explore previously unavailable investment opportunities; it provides new return opportunities while also introducing new risks. The aim of this study is to investigate the relationship between risk and return in the fintech industry in the Indian stock market. This article is based on market-based research that focuses on demonstrating the volatility in the fintech market’s prices and demystifying the opportunities. Secondary data were collected from the Bombay Stock Exchange’s official fintech industry website from January 2017 to July 2022 to determine whether there is any dynamic link between risk and return in the Indian fintech market. The variance-based Mean-GARCH (GARCH-M) model was used to determine whether there is a dynamic link between risk and return in the Indian fintech market. The findings emphasize the importance of taking the risk of investing in India’s fintech industry. The implications for stock investors’ and fund managers’ portfolio composition and holding periods of equities or market exposure are significant. Finally, depending on their investment horizons, the Indian fintech industry may yield significant profits for risk-taking individuals.
<abstract> <p>Development of the economy cannot be done at the cost of deterioration of ecology. Green finance is the most practical way of economic development and ecological development. To tackle the urgent challenges of climate change, several summits and conferences have adopted a sustainable development framework for their action plans. The 2030 Sustainable Development Goals (SDGs) are a unique collection of seventeen time-bound goals that strive to balance the three sustainability objectives of economic, social, and environmental sustainability. This research has been carried out to assess the present status of green finance in India and see its impact on startups. A green startup's success probability and importance are explained with specific case studies. By extracting the data from various published reports, it has been found that government initiatives are turning green by providing green finance, and Indian startups are exploiting this opportunity by the implementation of sustainable entrepreneurship. India has been on a path toward green project finance for some years now, and significant adjustments have been made to the country's financial sector to embrace ecologically friendly methods. Businesses are the economy's engine, and adopting sustainable business practices is critical for reaching carbon neutrality.</p> </abstract>
Utilizing natural resources wisely, reducing pollution, and taking other environmental factors into account are now critical to the prospects for long-term economic growth and, by extension, sustainable development. We investigate the impact of total natural resource rents (NRR) on India’s GDP in this study. The data sample consists of NRR and GDP data from the World Bank’s official website collected between 1993 and 2020. In the study, the Granger causality test and an augmented autoregressive distributed lag (ARDL) bound test were used. The NNR have a significant impact on India’s GDP, according to the results of the ARDL model on the framed time series data set. Furthermore, the ARDL bound test reveals that the NRR have a significant short-term and long-term impact on the GDP of the Indian economy. This research contributes to understanding whether an exclusive policy is required for effective management of the complex interactions between various forces in the economic, political, and social environments. This is significant because there is no standard policy in India to improve the efficiency of utility extraction from natural resources.
The cryptocurrency market has enormous growth potential. In this study, the aim is to investigate how the news (shocks) affects cryptocurrency market volatility. This is significant because, while cryptocurrencies are gaining popularity among investors, the market’s extreme volatility discourages some prospective buyers, while also causing large losses for inexperienced investors. From 8 March 2019 to 30 November 2022, data from Bitcoin, Binance Coin, Ethereum, Dogecoin, and XRP were collected for the current study. The E-GARCH model was applied to the framed dataset to achieve the research aim. We discovered that the value of the size factor for all currencies was statistically significant, indicating that the news (shocks) significantly impacts volatility. Furthermore, volatility persistence in all cryptocurrencies is found to be very high and statistically significant. These study findings can help investors understand the impact of the news (shocks) on volatility in cryptocurrency returns.
In today's world, one cannot deny the magnitude of energy use. It is a necessity in every field and can be categorized as renewable and non-renewable energy. The importance of renewables cannot be overstated since the non-renewable resources will not last forever. Once they are used, we must remember to consider their effect on the environment. This paper highlights how deploying renewable energy sources instead of non-renewables improves the Indian Economy. To do this, we gathered time series data and applied the statistical test for analysis of variance (ANOVA) to measure the strength of the impact of selected variables. Findings show that renewable energy sources have become progressively critical in terms of the fossil fuel recession. Energy-efficient technologies and sustainable energy applications and their impact on the Indian Gross Domestic Product (GDP) demonstrate that renewables significantly impact the Nation's growth prospects.
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