01
Original Article
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Climate Consciousness vs. Profit Chase : Asset Behavior in a Sustainable Era
Amit Kumar Singh, Srishti Jain, Rashmi Goel
· pp. 8–23
DOI: 10.17010/ijf/2026/v20i1/175251
Purpose: The present study aimed to find a solution to the sustainability dilemma between conventional and digital assets. Design: The study employed two conventional assets/commodities, i.e., gold, oil & gas, and three digital assets, i.e., Bitcoin, Ethereum, and DeFi, from …
Keywords:
sustainability, cryptocurrency, Bitcoin, gold, ESG, oil and gas, Ethereum, DeFi
02
Original Article
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Adoption of Explainable Artificial Intelligence in Retail Investors’ Decision-Making : Evidence from India
Amiya Kumar Mohapatra, Aditya Prasad Sahoo, Puja Tripathy, Rahul Matta, Ankur Saxena
· pp. 24–37
DOI: 10.17010/ijf/2026/v20i1/175903
Objective : This research examined the extent to which retail investors in India trusted and expressed confidence, as well as their intention to adopt an automated trading platform utilizing explainable artificial intelligence (XAI). Methodology: The study used primary data based …
Keywords:
explainable artificial intelligence, retail investors, trust, perceived risk, investor confidence, explainability
03
Original Article
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Financing Climate Resilience from the Bottom Up : A Perspective on Reimagining Pradhan Mantri Mudra Yojana as India’s Micro-Green Bank
Nishmitha Shetty, Badrinarayan Srirangam Ramaprasad, Shilpa Praveen
· pp. 38–46
DOI: 10.17010/ijf/2026/v20i1/175218
Purpose: This perspective explored the untapped potential of the Pradhan Mantri Mudra Yojana (PMMY) as a channel for climate finance, with particular emphasis on its extensive reach among women borrowers and micro-enterprises in India. It argued for the introduction of …
Keywords:
Pradhan Mantri Mudra Yojana (PMMY), climate finance, entrepreneurship, green-mudra, climate-positive activities
04
Original Article
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Artificial Intelligence in Finance : The Journey of Robo Advisors So Far and the Way Ahead
Rishabh Jain, Abhinav Pal, Kanishka Gupta, Dolly Gaur
· pp. 47–71
DOI: 10.17010/ijf/2026/v20i1/174132
Purpose: This bibliometric research article aimed to provide a comprehensive overview of the academic literature on robo-advisory services in finance, identifying key trends, influential factors, and potential avenues for future research. Design/Methodology/Approach : A systematic bibliometric analysis was conducted for …
Keywords:
robo-advisory, artificial intelligence, fintech, asset allocation, portfolio management
05
Original Article
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Beyond Binary Decisions : Modeling the Frequency of Mergers and Acquisitions in the Indian IT Industry Using Count Data Models
Muhammadriyaj Faniband, Seema Singh
· pp. 72–85
DOI: 10.17010/ijf/2026/v20i1/175222
Purpose: This paper investigated the impact of macroeconomic factors, inflation, exchange rate, interest rate, GDP, and economic policy uncertainty (EPU) on mergers and acquisitions (M&A) activity of the Indian IT industry. Design/Methodology/Approach : This paper used the count data models, …
Keywords:
macroeconomic factors, mergers, acquisitions, IT industry, count data, India
