Abstract: The National Stock Exchange (NSE) of India plays a crucial role in trading stocks, derivatives, and debt instruments. Between 2021 and 2025, global economic uncertainty, driven by pandemic effects, fluctuating interest rates, geopolitical conflicts, and shifts in capital movements, significantly impacted financial markets, including the NSE. This research investigates how challenges like post-pandemic recovery, changes in foreign investment, and tightening monetary policies affected the NSE’s income and trading activity. By analysing secondary data from financial statements and economic reports, the study evaluates trends in revenue, net profits, and trading volumes. Increased global uncertainty led to market volatility and corrections in equity indices. Despite these challenges, the NSE's robust domestic investor base and diversified revenue helped mitigate adverse effects. The findings highlight the importance of adaptive risk management and regulatory consistency in maintaining financial performance during global instability.
Abstract: This research explores the impact of India's Atmanirbhar Bharat (Self-Reliant India) policy on its trade relations with China, emphasising their role in global supply chains. It analyses changes in trade patterns, import dependency, export results, and sectoral shifts since the policy's 2020 implementation. By combining quantitative data with qualitative evaluations, the study reveals that the Atmanirbhar Bharat initiative has introduced strategic measures for import substitution, supply chain diversification, and domestic industry support, focusing on enhancing local manufacturing, technological innovation, and entrepreneurship. The study highlights India's structural trade imbalances with China, driven by its significant demand for intermediate goods and capital equipment crucial for manufacturing. This dependence poses challenges to India's self-reliance and complicates trade relations in a globalised economy. The paper offers policy recommendations to enhance trade resilience and competitiveness against Chinese imports, including investing in infrastructure, promoting research and development, and forming strategic international partnerships to mitigate trade imbalances and support sustainable growth.
Abstract: Technology has emerged as a transformative force shaping global development, social equity, and environmental sustainability. From artificial intelligence and digital health systems to renewable energy and smart infrastructure, technological innovation is redefining economies, governance, and human well-being. However, unequal access to digital resources, infrastructural disparities, and ethical challenges continue to widen global inequalities. This chapter explores how technology functions as a catalyst for global change by examining its role in innovation ecosystems, social inclusion, and sustainable development. It critically analyzes digital transformation across sectors such as healthcare, education, industry, and environmental management, while addressing issues of digital divide, data governance, and ethical responsibility. The chapter further aligns technological advancements with the Sustainable Development Goals (SDGs), emphasizing inclusive innovation and policy-driven transformation. Through conceptual frameworks and global case illustrations, it proposes a balanced pathway that integrates innovation with equity and sustainability. Ultimately, the chapter argues that technology, when guided by ethical governance and inclusive policies, can serve as a powerful instrument for achieving resilient and sustainable global futures.
Abstract: This research report provides an in-depth analysis of the persistent liquidity crisis within Bangladesh's banking sector. Characterized by a severe shortage of available cash to meet obligations, the crisis threatens financial stability and long-term economic growth. The study identifies the multifaceted causes of the crisis, which are predominantly rooted in systemic governance failures rather than external shocks. Key factors include alarming levels of Non-Performing Loans (NPLs) driven by poor credit governance and willful defaults, a declining trend in deposit growth, significant capital flight, and foreign currency mismanagement. The report assesses the profound impacts of this crisis, including constrained credit flow to productive sectors, erosion of public trust, and heightened systemic risk. It evaluates recent regulatory interventions by Bangladesh Bank, such as the unification of weak banks and the introduction of the Bank Resolution Ordinance 2025. Through analytical review, the report concludes that while these are positive steps, their long-term efficacy depends on rigorous implementation. The study recommends a holistic strategy encompassing stringent governance reforms, aggressive NPL resolution through asset reconstruction companies, monetary and fiscal policy coordination, technological integration for transparency, and confidence-building measures to attract deposits. The findings underscore that a sustainable solution requires unwavering political will to address deep-seated institutional corruption and mismanagement.
Abstract: This study investigates the relationship between national income and tourism expenditure, framed within the context of the Engel curve, for six South Asian nations with significant potential for Halal tourism: Bangladesh, India, Maldives, Nepal, Pakistan, and Sri Lanka. Utilizing a Generalized Least Squares (GLS) model on panel data from 2000 to 2024, we analyze the impact of GDP per capita on outbound tourism expenditure. Our findings indicate a positive and elastic income elasticity of tourism demand (0.989), signifying that tourism is a luxury good and that financial outlay on travel increases more than proportionally with income. The results underscore the critical opportunity for these countries to develop their Halal tourism sectors to capture a share of this elastic expenditure, thereby fostering economic diversification and employment generation. The study concludes with targeted policy recommendations aimed at leveraging this income-elastic demand for sustainable economic development.
Abstract: This study examines the differential approach to risk management strategies concerning Non-Performing Assets (NPA) within India's two foremost banks – the Indian Public Sector Bank, State Bank of India (SBI) and the Indian Private Sector Bank, ICICI Bank. While comparing the two banks, using a mixed-method approach, the research combines quantitative analysis of trends in financial indicators (Gross and Net NPA ratios, Provision Coverage Ratio and Return on Assets) and a qualitative analysis of credit appraisal and monitoring and recovery frameworks. Data from 2010-2025 were taken from RBI publications, annual reports and credible academic studies, so there was authenticity and reliability of data.
Findings show that SBI's recovery centered reforms such as better provisioning (PCR increase from 70.88% to 75%), restructuring under Insolvency and Bankruptcy Code (IBC) and improved post-sanction monitoring have led to a reduction in Gross NPAs by 47% and significant improvement in profitability (ROA increased from 0.48% to 1.1%). On the other hand , ICICI Bank's proactive and technology-driven risk model, with AI-driven early warning systems, digitised credit scoring and stringent underwriting, regularly maintained low NPAs (down from 3.05% to 1.67%) and enhanced profitability (ROA doubling to 2.0%). Correlation study reports we see that there is a very strong inverse relationship between NPAs, provisioning, Net NPA ratio and profitability (r approx –0.9) which means as NPAs and provisioning go up Net NPA ratio and profitability goes down. This is proof that what we put in place for credit assessment, early identification and recovery does in fact directly improve banks’ performance. We found out that what made SBI successful was its recovery and restructurizing which made ICICI’s success was in prevention and technology based monitoring. Also brought to light is the fact that what is key in the Indian banking system is the integration between AI, data analysis and good governance which banks use in risk management and in the end in the maintenance of asset quality in a sustainable way.