The impact of behavioural determinants on investment decisions with evidence from meta analysis and meta structural equation modelling Dhivya Bharathi Dhandapani, Chinnadurai Kathiravan Discover Sustainability, 2026 This study examines how risk aversion, financial literacy and overconfidence are associated with individuals' investment decisions, by collecting the data from 37 empirical studies, published between 2014 and 2025, with a combined sample size of 18,835 respondents. The data were analysed, using meta-analysis and meta-analytic structural equation modelling (Meta-SEM), with additional inputs from Prospect Theory, Human Capital Theory and Behavioural Finance Theory. Meta-analysis results revealed that financial literacy did have strong and significant positive association with investment decisions whereas risk aversion and overconfidence reported small and positive but not statistically significant association with investment decisions. The Meta-SEM confirmed that financial literacy played a dominant structural role in shaping investment decisions while risk aversion and overconfidence exerted statistically significant but smaller positive effects. These findings indicated the need to strengthen financial literacy through targeted policy and educational initiatives. This finding would help individuals to better understand financial concepts, which, in turn, could reduce behavioural biases and enable rational investment decisions. This study presents an integrated analytical framework in the field of behavioural finance, offering practical insights to educators, regulators and financial professionals and helping investors to become more informed and resilient.
National Cadet Corps and its effect on developing soft skills among cadets of Tamil Nadu, South India Chinnaraj Elavarasan, Murugesan Selvam, Aidin Salamzadeh, Chinnadurai Kathiravan International Journal of Public Sector Performance Management, 2026 Soft skills are personality skills and communication abilities, which a workforce should possess, for successfully managing any type of organisation. Every employer is specifically looking for soft skills while recruiting the staff for any organisation. The National Cadet Corps (NCC), one of the largest uniform forces of India, imparts training to the NCC cadets effectively, to be good and responsible citizen and provides an excellent opportunity to develop leadership skills, communication skills, citizenship education and various other required soft skills. This paper examines the level of soft skill, developed through NCC in southern India. The sample for this study was drawn from 11 southern districts of Tamil Nadu, India, which was collected through a questionnaire, administered to a sample of 440 cadets. The study investigated 25 soft skill qualities, among the sample cadets of NCC. It was found that majority of NCC cadets developed soft skills satisfactorily.
Effect of Crude Oil Volatility Index (OVX) on the Energy Indices Return: Evidence from Wavelet Analysis Tahmina Akther Mim, Chinnadurai Kathiravan, Balasundram Maniam International Journal of Economics and Financial Issues, 2025 This study investigates the co-movement and causal relationships between crude oil volatility (measured by the OVX) and the returns of three Indian energy indices: BSE Oil and Gas, BSE Power, and CNX Energy. Employing statistical techniques such as descriptive statistics, ADF and Phillips-Perron unit root tests, OLS regression, and wavelet analysis, we examine the dynamic linkages between these variables. Our findings reveal a predominantly negative relationship between OVX and the returns of the analyzed energy indices. These insights provide valuable information for investors to make informed investment decisions, particularly considering the impact of weather conditions on energy markets. Furthermore, the findings offer valuable guidance for policymakers, investment analysts, and other market participants.
Effects of Weather Factors on Indian Stock Market Finance India, 2025
The 50-year-old Oil Crisis and its Impact on the Global Economy: A Bibliometric Analysis Tahmina Akther Mim, Chinnadurai Kathiravan, Balasundram Maniam International Journal of Energy Economics and Policy, 2024 The world faced different crises, several times, in the last five decades. The COVID-19 pandemic, debt crisis and oil bubble were the most important crises among them. During the crisis, the main financial driving factor was the oil price which transmitted an alarming hit to other economic nexus factors. The objective of this paper was to find out the crisis period, caused by crude oil and its eventuality in different markets’ historical plots. Scopus data represent 605 studies, using the bibliometrix R tool, about crude oil and related crises. Within the context of the contemporary scientific literature, the most significant authors, publications, and research institutions were included in this paper. In the context of the most recent scientific literature, the most significant authors, publications, and research institutions were identified and the relevance of their contributions was established. This research employed disaggregated sectoral analysis and mechanistic analysis on grounded theory, which included moderation analysis. Finally, this bibliometric analysis tried to locate roadblocks in the current literature as well as indicate new directions for investigation.
The Potential of a Fintech- Driven Model in Enabling Financial Inclusion Muhammed Basid Amnas, Murugesan Selvam, Chinnadurai Kathiravan Data Driven Modelling and Predictive Analytics in Business and Finance Concepts Designs Technologies and Applications, 2024 Technology has transformed the Indian financial sector and increased access to financial services in many ways. Fintech has strong potential to restructure financial services. Fintech paves the way for successful financial inclusion in the country by reducing corruption. Access to financial services is a critical step in reducing poverty and inequality. New data, on mobile phone ownership and online access, reflect the opportunities to use technology to achieve financial inclusion. India’s fintech adoption has seen a significant rise over the past few years, thanks to the initiatives of the government to push the country towards a digitalized economy. This chapter discusses the regulatory measures taken to improve fintech’s movement in India and the further steps needed to use fintech’s potential to achieve balanced growth and financial inclusion in India. The results of this study would provide necessary inputs to national and international policymakers and others, to understand fintech’s strengths and its roles in accelerating financial inclusion.
The Significance of Artificial Intelligence in Career Progression and Career Pathway Development A. S. Sathish, V. Samuel Rajkumar, Vihas Vijay, Chinnadurai Kathiravan AI Oriented Competency Framework for Talent Management in the Digital Economy Models Technologies Applications and Implementation, 2024 This chapter explores the role of artificial intelligence (AI) in the ecosystem of career development and its impact on individuals, employers, and society. The chapter highlights the significance of AI in career progression, focusing on its ability to optimize the job search process, enhance writing abilities, provide career guidance, and facilitate personalized skill development. AI-powered tools and systems are transforming the way individuals explore career paths, acquire new skills, and make informed decisions about their professional journeys. The chapter also discusses the benefits of AI-driven career exploration platforms, which offer customized recommendations for viable career trajectories based on individual’s skill sets, interests, and objectives. Additionally, the chapter emphasizes the importance of personalized skill development facilitated by AI, which evaluates individuals’ current skills and suggests relevant courses and resources for advancement. The chapter further examines the use of AI in job matching, where sophisticated algorithms assess job postings, resumes, and candidate profiles to enhance the effectiveness and precision of candidate evaluation and recruitment. AI’s role in employee engagement has also been analyzed further. Lastly, the chapter addresses ethical considerations and challenges associated with AI implementation, highlighting the need for transparency, fairness, and accountability. The chapter draws on academic literature to support its findings and underscores the importance of policy development and research advancements to maximize the benefits and manage the risks of AI integration in career-related domains.
COVID-19 Pandemic and Indices Volatility: Evidence from GARCH Models Rajesh Mamilla, Chinnadurai Kathiravan, Aidin Salamzadeh, Léo-Paul Dana, Mohamed Elheddad Journal of Risk and Financial Management, 2023 This study examines the impact of volatility on the returns of nine National Stock Exchange (NSE) indices before, during, and after the COVID-19 pandemic. The study employed generalized autoregressive conditional heteroskedasticity (GARCH) modelling to analyse investor risk and the impact of volatility on returns. The study makes several contributions to the existing literature. First, it uses advanced volatility forecasting models, such as ARCH and GARCH, to improve volatility estimates and anticipate future volatility. Second, it enhances the analysis of index return volatility. The study found that the COVID-19 period outperformed the pre-COVID-19 and overall periods. Since the Nifty Realty Index is the most volatile, Nifty Bank, Metal, and Information Technology (IT) investors reaped greater returns during COVID-19 than before. The study provides a comprehensive review of the volatility and risk of nine NSE indices. Volatility forecasting techniques can help investors to understand index volatility and mitigate risk while navigating these dynamic indices.
The Dynamic Impact of Financial Technology and Energy Consumption on Environmental Sustainability Mohd Afjal, Chinnadurai Kathiravan, Leo Paul Dana, Chitra Devi Nagarajan Sustainability Switzerland, 2023 This research investigates the dynamic interplay between financial technology, information and communication technology, energy consumption, and economic growth on environmental sustainability within Emerging and Growth-Leading Economies (EAGLEs) from 2005 to 2020. Utilizing advanced econometric techniques, such as Fully Modified Least Squares (FMOLS) and Vector Autoregressive Error Correction Model (VECM), the investigation scrutinizes the hypothesized relationships among these variables. Panel unit root tests were deployed to assess stationarity, while panel least squares methodology was employed to determine the presence of co-integration among the variables under study. The analysis reveals that internet usage, GDP, and renewable energy consumption exhibit a notable influence in diminishing CO2 emissions within EAGLE economies. Additionally, the findings substantiate the existence of long-term causality originating from these variables and impacting CO2 emissions. Conversely, the role of ATM networks in CO2 emissions remains ambiguous, implying that financial technology’s influence on environmental sustainability is inconclusive. Consequently, the research posits that environmental sustainability in EAGLE economies is chiefly determined by factors such as internet usage, economic expansion, and renewable energy consumption, with financial technology demonstrating no discernable impact. In light of these findings, the study advocates for the reevaluation and adaptation of existing policies and strategies to account for shifting climatic conditions. By doing so, decision-makers can better align their efforts with the pursuit of environmental sustainability in the context of rapidly evolving economies.
Stock Market Response to Covid-19 Pandemic Period In Asian Equity Markets: An Event Study Finance India, 2023
An empirical investigation of the inter-linkages of stock returns and the weather at the Indian stock exchange Academy of Strategic Management Journal, 2018
Predicting stock market movements of India using data deterministic approach Academy of Strategic Management Journal, 2018
Big data analytics-application of artificial neural network in forecasting stock price trends in India Academy of Accounting and Financial Studies Journal, 2018
Effect of temperature on stock market indices: A study on BSE and NSE in India International Journal of Economic Research, 2017
