Long- and Short-run Effects of Crude Oil Prices on Stock Price Under Exchange Rate Fluctuations: Evidence from South Africa Zahin Ansari, Shakeb Akhtar, Aleem Ansari, Warren Rusere, Rashid Usman Ansari Global Business Review, 2026 Global economy has witnessed a complex relationship between oil prices, exchange rates and stock prices due to geopolitical instability, supply chain interruptions and changes in the production levels of the oil-producing countries. The current research aims to recognize the nexus of exchange rates, stock prices, and oil prices and whether it also affects the stock market prices in South Africa. The JSE200 index returns have been considered representative stock price to analyze the effects. The sample period for the study is from 1 March 2012 to 28 February 2025. Cointegration using the autoregressive distributed lag procedure and Granger causality have been utilized to test the data. The result demonstrates that the South African market has witnessed long-term cointegration among crude oil prices, stock prices and exchange rate. The short-term and long-term estimates further illustrate the significant influence of crude oil prices and exchange rates on stock prices. The present study attempts to fill the research gap by enhancing the current body of literature pertaining to the South African stock market.
Understanding the Moderating Effect of Altruistic Behavior on Support for Social Insurance in India Zahin Ansari, Monizah Parwez, Aleem Ansari, Syed Hameedur Rahman Zaini Journal of Public Affairs, 2025 The insurance sector has grown tremendously over the years and has a huge potential toward the workforce employed in the unorganized sector. India needs comprehensive social insurance schemes to benefit the workers in this sector. The present study is an attempt to examine the impact of risk aversion on support for social insurance schemes in India with the mediating effect of redistributive preferences. The current study is survey‐based research. A non‐probability sampling technique has been used to collect data from 417 respondents residing in the North‐east region of the capital city, Delhi. The data was collected between October 2023 and February 2024. The present study employs structural equation modeling and Hayes' PROCESS Macro module. Results show that risk aversion positively influences redistributive preferences and support for social insurance schemes. The effect of redistributive preferences on support for social insurance is also found to be positive and significant. The moderated mediation effect of redistributive preferences on support for social insurance is also found to be significant. As social security programs are funded by redistributing income through higher taxation policies, individuals with higher risk preferences may opt for such insurance programs. The study will help social groups and policymakers design the schemes in a way that can benefit those working in the unorganized sector at large. The present study has been an attempt to empirically understand the importance of risk aversion and altruism in support of social insurance programs.
Future of Fintech Harendra Singh, Aleem Ansari, Vikrant Vikram Singh Adoption of Fintech Using Technology for Better Security Speed and Customer Experience in Finance, 2024 The fast development of technology has ushered in a new age for the financial sector. How we handle our money, do business, and access financial services has changed dramatically thanks to financial technology (Fintech). In this chapter, we will look at the significant technological advancements and their potential effects on various financial sectors. We’ll also look at game-changing developments in open banking, wealth management, alternative financing, Insurtech, and digital payments. We will also discuss Fintech's regulatory framework and policy implications, shining light on both the difficulties and opportunities that lie ahead. The discussion of future trends that will conclude this chapter will cover topics including the fusion of Fintech with other industries, the emergence of decentralized finance (DeFi), customized financial experiences, and improved cybersecurity measures. As we help to build the financial future, we will also stress the value of cooperation between Fintech start-ups and established players. We will also reflect on the revolutionary potential of Fintech and examine the possibilities and difficulties that lie ahead.
Relation between Fintech Trends and Digital Finance: A Bibliometric Analysis Sana Fatima, Vartika Kapooor, Aleem Ansari Adoption of Fintech Using Technology for Better Security Speed and Customer Experience in Finance, 2024 The financial sector has experienced ongoing advancements in service provision as a result of digitization (Kanungo & Gupta, 2021; Brandl & Hornuf, 2020). This enhancement is characterized by higher levels of interaction and improved data processing in both the client interface as well as back-office operations. In recent times, there has been a notable shift in focus regarding digitization. Initially, the emphasis was on improving the efficiency of traditional tasks. However, the current emphasis has primarily been on generating employment opportunities and developing new business models specifically for financial services firms (Legner et al., 2017; Gomber et al., 2017). “Digital finance” encompasses a wide range of novel financial products, financial institutions, associated financial initiatives, and new modes of customer engagement (Azizi et al., 2021; Anjum et al., 2017). This includes the provision of interactive services by financial technology firms and innovative providers of financial services, as exemplified by Ozili (2018), Gomber et al. (2017), and Barras (1990). Given these facts, scholarly investigations have commenced to explore the aforementioned transformations in the realms of finance and information systems while also delving into the impact of the financial sector on the advancement of digital technologies.
Challenges Hindering the Digitalization and Innovation of Smart Real Estate in India: A Managerial Insight into Technology Non-Adoption Aleem Ansari, Vikrant Vikram Singh, Aditya Kumar Gupta 4th International Conference on Innovative Practices in Technology and Management 2024 Iciptm 2024, 2024 This research investigates the sluggish adoption of disruptive digital technologies (DDTs) in the global real estate sector, with a specific focus on the Indian market. Analysing barriers to digital transformation, the study applies Pythagorean Fuzzy Sets methodologies to quantify challenges, prioritizing technological, organizational, and environmental obstacles. Key hindrances include high implementation costs, limited market data access, organizational resistance to innovation, and external environmental factors. The study advocates for a shift toward Industry 4.0 standards, emphasizing the need to address technological complexities and internal organizational challenges. Insights from experts in telecommunications, information technology, and smart city development inform proposed strategies to facilitate the integration of digital innovations in the Indian real estate landscape. This research contributes theoretical and practical implications, offering actionable strategies for policymakers, industry leaders, and innovators to navigate complexities and promote the adoption of smart real estate technologies on a global scale.
Machine Learning in Fintech David Campbell, Aleem Ansari, Vikrant Vikram Singh Adoption of Fintech Using Technology for Better Security Speed and Customer Experience in Finance, 2024 A fascinating new area of research in the field of finance is the convergence of Fintech and machine learning (ML). Fintech aims to improve and streamline the delivery of financial services, and ML, a crucial aspect of artificial intelligence (AI), enables Fintech systems to learn from the past rather than relying solely on human expertise. There is enormous room for innovation when ML and Fintech are combined because ML allows Fintech companies to mine vast financial datasets for insightful data that can improve efficiency and decision-making. Due to their predictive abilities, a variety of ML techniques are widely utilized in the finance sector to manage complex and large amounts of data. These methods include deep learning, reinforcement learning, unsupervised learning, and supervised learning (Janiesch et al., 2021; Jafar et al., 2023).
Assessment of Metaverse-Based Digital Learning Systems in Higher Education Vikrant Vikram Singh, Aleem Ansari, Aditya Kumar Gupta 2023 4th International Conference on Computation Automation and Knowledge Management Iccakm 2023, 2023 In recent years people have felt the importance of technology-driven infrastructure in many areas including higher education. Teachers' researchers and students have felt a very strong need for advanced technology-driven platforms in higher education scenarios. The main focus of this study is on how successful metaverse-driven learning systems are. This study looks at the influencing factors of metaverse technology-based digital learning platforms in higher education institutions. To properly examine the various driving factors of Metaverse-based digital learning platforms used by various higher education institutions, several important aspects of these systems were gleaned from the available literature, and several noteworthy articles were chosen from the literature. Several influencing factors of metaverse-based learning systems are identified and ranked using the analytical hierarchy process (AHP) according to important variables and their auxiliary elements. Pythagorean Fuzzy-Delphi was used to address the option's ambiguity. A threshold value of 0.6 was applied and various capabilities were recognized and accepted based on the $\\mathrm{d}_{\\mathrm{f}}\\ (\\alpha)$ value. The difference matrix, interval multiplicative matrix, determinacy value matrix, and normalized priority weight were created using the Pythagorean Fuzzy-Delphi method. Capability's priority rating was established as Push > Mooring > Pull based on Normalized Weights of 0.271, 0.402 and 0.327 respectively. Further various sub-criteria were ranked based on their global ranks obtained from their Pythagorean fuzzy weights and de-fuzzified values. The study's findings showed why metaverse-based systems in different higher education institutions are successfully used to create digital learning systems.
Do investors herd in emerging economies? Evidence from the Indian equity market Aleem Ansari, Valeed Ahmad Ansari Managerial Finance, 2021 PurposeThe purpose of this study is to empirically examine the presence of herding behavior of Indian investors using daily sample data drawn from the Standard and Poor's (S&P) Bombay Stock Exchange-500 Index over the period 2007–2018.Design/methodology/approachThe study employs the model proposed by Chang et al. (2000), taking stock return dispersion as a measure to capture herding. The empirical results demonstrate the absence of herding behavior in all market states, that is, normal, up and down market conditions for the overall period.FindingsContrastingly, the study found negative herding behavior, which underlines that individuals are taking the decision away from the market consensus. The subperiod analysis corroborates the negative herding behavior. The results remain invariant across large, mid and small-capitalization firms except in one year, that is, 2009 for small firms. While using liquidity and sentiment as variables to examine herding, the study finds some evidence of herding behavior for high market liquidity state and sentiment. The findings of negative herding shed new light on herding behavior in the Indian stock market.Originality/valueThis pattern of behavior may indicate irrationality of investor behavior and the presence of noise traders who mistrust market-wide information. Behavioral factors such as overconfidence may explain this pattern of behavior.
RECENT SCHOLAR PUBLICATIONS
Long-and Short-run Effects of Crude Oil Prices on Stock Price Under Exchange Rate Fluctuations: Evidence from South Africa Z Ansari, S Akhtar, A Ansari, W Rusere, RU Ansari Global Business Review, 09721509261435795 , 2026 2026
Understanding the Moderating Effect of Altruistic Behavior on Support for Social Insurance in India Z Ansari, M Parwez, A Ansari, SHR Zaini Journal of Public Affairs 25 (2), e70037 , 2025 2025
Machine Learning in Fintech D Campbell, A Ansari, VV Singh The Adoption of Fintech, 206-217 , 2024 2024 Citations: 2
Future of Fintech H Singh, A Ansari, VV Singh The Adoption of Fintech, 267-276 , 2024 2024 Citations: 5
Bitcoin as a distinct asset class for hedging and portfolio diversification: A DCC-GARCH model analysis VV Singh, H Singh, A Ansari NMIMS Management Review 32 (1), 7-13 , 2024 2024 Citations: 8
Challenges Hindering the Digitalization and Innovation of Smart Real Estate in India: A Managerial Insight into Technology Non-Adoption A Ansari, VV Singh, AK Gupta 2024 4th International Conference on Innovative Practices in Technology and … , 2024 2024 Citations: 6
Relation between Fintech Trends and Digital Finance: A Bibliometric Analysis VK Sana Fatima Aleem Ansari The Adoption of Fintech , 2024 2024 Citations: 1
The future of breast cancer in Pakistan in the age of new gene mutation S Ahmed, AI Ansari, Z Ansari Clin Case Rep Int. 2023; 7 1601 , 2023 2023 Citations: 1
Assessment of Metaverse-based digital learning systems in Higher Education AKG Vikram Vikrant Singh, Aleem Ansari 4th International Conference on Computation, Automation and Knowledge … , 2023 2023 Citations: 9
Do investors herd in emerging economies? Evidence from the Indian equity market A Ansari, VA Ansari Managerial Finance 47 (7), 951-974 , 2021 2021 Citations: 18
Investor herding behaviour in the Indian equity market: Evidence from quantile regression A Ansari e-journal-First Pan IIT International Management Conference–2018 , 2020 2020 Citations: 1
Does herding exist in lottery stocks? Evidence from the Indian stock market A Ansari, T Aziz, VA Ansari Evidence From the Indian Stock Market (February 12, 2020). Applied Finance … , 2020 2020 Citations: 7
Herding behaviour in Indian equity market: a quantile regression approach A Ansari American Journal of Finance and Accounting 6 (1), 38-55 , 2019 2019 Citations: 6
MOST CITED SCHOLAR PUBLICATIONS
Do investors herd in emerging economies? Evidence from the Indian equity market A Ansari, VA Ansari Managerial Finance 47 (7), 951-974 , 2021 2021 Citations: 18
Assessment of Metaverse-based digital learning systems in Higher Education AKG Vikram Vikrant Singh, Aleem Ansari 4th International Conference on Computation, Automation and Knowledge … , 2023 2023 Citations: 9
Bitcoin as a distinct asset class for hedging and portfolio diversification: A DCC-GARCH model analysis VV Singh, H Singh, A Ansari NMIMS Management Review 32 (1), 7-13 , 2024 2024 Citations: 8
Does herding exist in lottery stocks? Evidence from the Indian stock market A Ansari, T Aziz, VA Ansari Evidence From the Indian Stock Market (February 12, 2020). Applied Finance … , 2020 2020 Citations: 7
Challenges Hindering the Digitalization and Innovation of Smart Real Estate in India: A Managerial Insight into Technology Non-Adoption A Ansari, VV Singh, AK Gupta 2024 4th International Conference on Innovative Practices in Technology and … , 2024 2024 Citations: 6
Herding behaviour in Indian equity market: a quantile regression approach A Ansari American Journal of Finance and Accounting 6 (1), 38-55 , 2019 2019 Citations: 6
Future of Fintech H Singh, A Ansari, VV Singh The Adoption of Fintech, 267-276 , 2024 2024 Citations: 5
Machine Learning in Fintech D Campbell, A Ansari, VV Singh The Adoption of Fintech, 206-217 , 2024 2024 Citations: 2
Relation between Fintech Trends and Digital Finance: A Bibliometric Analysis VK Sana Fatima Aleem Ansari The Adoption of Fintech , 2024 2024 Citations: 1
The future of breast cancer in Pakistan in the age of new gene mutation S Ahmed, AI Ansari, Z Ansari Clin Case Rep Int. 2023; 7 1601 , 2023 2023 Citations: 1
Investor herding behaviour in the Indian equity market: Evidence from quantile regression A Ansari e-journal-First Pan IIT International Management Conference–2018 , 2020 2020 Citations: 1
Long-and Short-run Effects of Crude Oil Prices on Stock Price Under Exchange Rate Fluctuations: Evidence from South Africa Z Ansari, S Akhtar, A Ansari, W Rusere, RU Ansari Global Business Review, 09721509261435795 , 2026 2026
Understanding the Moderating Effect of Altruistic Behavior on Support for Social Insurance in India Z Ansari, M Parwez, A Ansari, SHR Zaini Journal of Public Affairs 25 (2), e70037 , 2025 2025
