Volume 13 | Issue 2 |

 Abstract

The stock market is a crucial component of a country's financial system, servicing as indicator of that country's economic health. While stock market is influenced by various external and internal factor, this study examines the performance of six NSE sectoral indices on selected macroeconomic variables including GDP, gold prices, exchange rates, repo and reverse repo rates. The study uses secondary data from 2020-2024 and a descriptive methodology. The associations between macroeconomic factors and stock market performance are investigated using statistical techniques, such as descriptive statistics, the Granger Causality Test, the Augmented Dickey-Fuller (ADF) test, correlation analysis, Johansen's Cointegration Test, and regression analysis. The results show strong interdependencies, with GDP and gold prices having a positive impact on stock indices and interest rates and exchange rates having varying effects on different sectoral indices. The study helps investors, policy makers, and financial analysts make better investment choices, manage risk, and formulate economic policies by offering insightful information.

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Macro-economic variables, NSE, Nifty Sectoral indices, GDP, Gold prices, Exchange rates, Repo Rate, Reverse repo rates.

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This study examines the impact of AI-powered financial tools on investment decisions in the IT sector, focusing on the National Stock Exchange (NSE) and the Bombay Stock Exchange (BSE). By leveraging statistical analyses such as Descriptive statistics and ANOVA models the research explores how socioeconomic factors, financial literacy, and risk tolerance influence AI adoption among investors. Findings indicate that younger investors (18-25) are more likely to use AI tools, while factors like occupation and education show no significant impact. Additionally, financial literacy levels vary, highlighting the need for targeted investor education. The study also finds that AI usage does not significantly influence risk preferences, suggesting its potential in reducing investment biases. The research underscores the importance of improving AI accessibility and financial education to enhance investor decision-making. The findings provide valuable insights for financial institutions, policymakers, and AI developers to optimize AI-driven investment strategies in the evolving stock market landscape.

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Financial Literacy, AI-Powered financial tools, NSE, BSE, Risk tolerance, IT Sector.

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ESG (Environmental, Social, and Governance) factors have been widely recognized as key indicators of corporate sustainability. This study looks at the relationship between a firm's financial performance and its ESG score, drawing insights from stakeholder theory. The sample includes 41 Indian financial institutions, with data for the fiscal years 2022 and 2023 sourced from CRISIL. To analyze the impact of ESG scores on return on equity (ROE), return on assets (ROA), and market performance, the study employs linear regression and correlation analysis. The findings align with stakeholder theory, indicating a positive correlation between a firm's financial performance and its ESG score. To further extend the analysis, the study incorporates beta value calculations for the fiscal years 2022-2023 to assess market volatility and risk exposure. Additionally, a time series analysis is conducted to evaluate trends and patterns in ESG scores and financial performance over time. This research contributes to the restricted writing on Indian financial firms by investigating the significance of ESG within the monetary segment and highlighting its part in driving productivity and sustainable business practices.

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 Keywords

ESG (environmental, social and governance), Indian Financial Institutions, Sustainability, Corporate Governance, Risk Analysis, time series, ESG disclosure.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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A substantial percentage of deaths in individuals with chronic kidney disease (CKD) are attributable to cardiovascular disease (CVD), which is the primary cause of morbidity and mortality in this population. Endothelial dysfunction, oxidative stress, chronic inflammation, and an elevated prothrombotic state are some of the intricate processes that interact between CKD and CVD. These factors increase the likelihood of arterial calcification and atherosclerotic events, which are exacerbated by conventional CVD risk factors such diabetes, hypertension, and dyslipidemia, which are commonly seen in individuals with chronic kidney disease. For patients with established atherosclerotic disease and those at high cardiovascular risk, antiplatelet therapy--specifically, aspirin and clopidogrel--is essential for lowering thrombotic consequences. Aspirin, an irreversible inhibitor of cyclooxygenase-1 (COX-1), reduces platelet aggregation by blocking the formation of thromboxane A2. Clopidogrel, an inhibitor of the P2Y12 receptor, stops platelets from activating and aggregating when ADP is present. Both medications have shown effective in the general population, but because of their changed pharmacokinetics, elevated risk of bleeding, and greater vulnerability to side effects, using them in CKD patients poses special difficulties[1]

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Chronic kidney disease, cardiovascular disease, antiplatelet therapy, aspirin, clopidogrel, thrombosis, bleeding risk, uremia, platelet dysfunction, secondary prevention, gastrointestinal bleeding, pharmacokinetics, P2Y12 inhibitors, COX-1 inhibitors, hemodialysis

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The Stock Market has emerged as a crucial component of the global financial system, facilitating investment and economic growth. In India, the National Stock Exchange (NSE) plays a pivotal role in ensuring market efficiency, transparency, and liquidity. As financial markets continue to evolve, understanding these developments is essential for investors to navigate volatility effectively and maximize returns. The paper examines the nature of stock volatility and clustering, volatility patterns in financial time series data and leverage or asymmetric effect exists in selected stocks. The study indicates that volatility in selected stocks, demonstrates characteristics such as volatility clustering, the asymmetry effect, and the persistence of volatility in daily returns. It highlights that both recent and past news influence market volatility. Additionally, the study identifies the presence of a leverage effect, suggesting that negative shocks or unfavorable news have a greater impact on volatility compared to positive shocks or favorable news.

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Stock volatility, Volatility Patterns, Stock Return, Leverage Effect

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Child mental health is becoming a significant global concern due to increasing prevalence of mental health conditions and limited access to specialized care. The telepsychiatry approach, which uses telecommunication technologies to provide psychiatric services, has emerged as a promising solution to bridge this gap. This review explores the role of telepsychiatry in monitoring and managing child mental health. It discusses the current technologies, including video consultations, mobile applications, and wearable devices, along with their effectiveness in diagnosing, treating, and supporting children with mental health issues. The paper highlights the advancements in telepsychiatry, including AI-driven diagnostic tools and remote therapy platforms, while discussing barriers such as digital access, clinician training, and privacy concerns. This review, based on analyzing recent studies and case examples, underscores the potential that telepsychiatry brings to revolutionize child mental health care to become more accessible, cost-effective, and individualized. It leads to a discussion of future research directions and policy considerations that guarantee equitable and sustainable implementation in different populations.

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Child Mental Health ,Telepsychiatry ,Remote Mental Health Monitoring ,Parent-Child Interventions via Telepsychiatry

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The idea that schools should offer assistance to pupils who have suffered from trauma and adversity has gained acceptance globally. Yet, opinions on what constitutes a trauma-informed school remain contested. This study investigates educators' attitudes, knowledge, and practices regarding trauma-informed education to equip them with the skills and information they need to serve children in school who have experienced trauma effectively. The emotional, behavioural, and cognitive difficulties that trauma survivors frequently suffer adversely affect their general well-being and academic achievement. However, existing research indicates that many educators are unsure of how best to assist children affected by traumatic stressors. The main research topics are teacher self-efficiency, opportunities for professional development, and behavioural integration to help traumatised pupils gain resilience and emotional control. The study uses a data-driven methodology to investigate how focused interventions and positive learning environments can be produced through inclusive educational approaches. This quantitative study utilised the Attitude related to trauma-informed care (ARTIC 10 SCALE) to evaluate their prior understanding and attitude toward trauma-informed practices and investigate their viewpoints, difficulties, and life experiences about the use of trauma-sensitive teaching methods in the classroom, with a focus on the school context in Kerala. The researcher collected data from 100 teachers in both urban and rural schools in and around Kothamangalam Municipality, Ernakulam District, Kerala. The quantitative analysis's findings show that the mean score was 4.31 (SD=0.49), ranging from 3.00 to 5.30. According to this distribution, most teachers scored somewhat around the average, indicating that the sample group was moderately aware of trauma-informed treatment. However, it was observed that administrative resistance and inadequate training were significant obstacles to the practical consequences. The ratings indicate that there is potential for progress in reaching higher levels of trauma-informed understanding, which emphasises the requirement for more training to improve educators' ability to effectively handle the difficulties presented by children who have experienced trauma.

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Index terms: Trauma-informed teaching, Educator knowledge, Professional development, Teacher Self-Efficacy, trauma-exposed Children, Student Resilience building

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Mice Cancer Detection, Vision Transformers (ViTs),image processing ,data agumentation, CNN

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Creative Commons Attribution 4.0 and The Open Definition