International journal of economic perspectives

Herding Behaviour and Cross-Market Correlation: Evidence from BRICS stock markets on India

2025-10-07T08:13:33+00:00

Herding behaviour refers to the tendency of investors to follow the actions of their fellow participants, while ignoring their self-analysis and wisdom. It is one such manifestation of human psychology which is assumed to significantly influence investment decisions, leading sometimes to market inefficiencies like overpricing, asset bubbles and crashes. The herding behavior escalates not only because of domestic factors, but is significantly influenced by the global economic and political events as well. This spillover effect, known as contagion impact, is more visibly seen among countries which are economically and politically interconnected, especially in case of trade blocs like BRICS. This paper attempts to study contagion impact exerted by BRICS nations (other than India) on Indian herding behaviour. It employs the pioneer technique of Cross- Sectional absolute deviation (CSAD) to compute the impact of herding and market fluctuations in other BRICS nations on Indian herding. The paper studies daily closing prices of stocks listed on the important stock exchange indices namely NIFTY- 50, SSE, BOVESPA, MOEX and FTSE/JSE for a period of 10 years (2015-2024) to assess herding. The study concludes that there is a robust direct correlation between herding in China and Brazil and that of India. Although the other two member nations of BRICS trade-bloc, namely Russia and South-Africa also exert a similar impact, but the empirical evidence obtained is not very strong. This contagion impact may be clearly visible during times of turbulence, be it political or economic. The findings of the study will have important implications for regulators of stock markets and will assist them in promoting a more stable environment.

Factors Influencing Student’s Acceptance of M-Learning for Higher Education in NCR

2025-10-07T12:15:01+00:00

Mobile learning (m-learning) is the new way to learn in the 21st century because more and more people, especially college students, are using mobile devices. So, it's necessary to find and look into the things that can affect students' plans to use m-learning. Mobile learning (m-learning) is an innovative approach to education that utilizes mobile devices to deliver courses anytime and anywhere. This pedagogical approach has evolved from conventional e-learning and distance education, significantly transforming student engagement with educational materials in higher education institutions. The acceptability of technology by users will determine the successful implementation of m-learning in higher education. The objective of this work is to examine the factors influencing university students' willingness to use mobile learning as opposed to traditional learning methods. This study adopts a modified model suggested by Abu-Al-Aish and Love to discern the factors affecting the acceptability of m-learning in higher education, based on the unified theory of acceptance and use of technology (UTAUT) (Venkatesh et al., 2003). The data was gathered from 206 students using an online questionnaire, and a structural equation model was employed for data analysis. The analysis of the results concluded that effort expectancy, social influence (lecturer’s), facilitating Conditions, personal innovativeness significantly impacted the behavioral intention to utilize m-learning. Surprisingly, performance expectancy exhibited a negative but statistically insignificant relationship with BI. The outcome will furnish educators and institutions with enhanced insights to formulate construction of an effective mobile learning system.