01
Original Article
Subscription
Forecasting the Performance of AI-Driven Stocks : A Time Series Analysis
Amirtha L. L., Yazhini S., Ramalakshmi R., A. Duraisamy, K. Selvasundaram, R. Sridharan
· pp. 8–36
DOI: 10.17010/ijf/2026/v20i5/175366
Purpose: This study investigated the impact of artificial intelligence (AI) adoption on the price dynamics of AI-driven stocks. Within the Nifty India Digital Index, this study focused on stock prices of Tata Elxsi, Infosys, and Persistent Systems owing to their …
Keywords:
financial forecasting, stock market, time series models, AI-driven stocks, ARIMA, ARFIMA, EGARCH
02
Original Article
Subscription
Navigating Financial Frameworks : How Macroeconomic Drivers Shape Capital Structure Strategies
Moses Prakash Fernandes, Harip Rasulsab Khanapuri
· pp. 37–55
DOI: 10.17010/ijf/2026/v20i5/175280
Purpose: Historically, firms sought to maximize their value and reduce their costs, respectively, through an ideal capital structure. With the focus on firm-specific determinants, scholars have rarely considered macroeconomic factors in relation to corporate capital structure. The current work expanded …
Keywords:
capital structure, leverage, panel data, Indian manufacturing firms, macroeconomic factors, GMM, machine learning
03
Original Article
Subscription
Exploring Enablers and Barriers of M-Banking Adoption for Financial Inclusion in Rural India
Gosala Raju, Shradha Gupta
· pp. 56–76
DOI: 10.17010/ijf/2026/v20i5/175463
Purpose: The objective of this research was to explore critical determinants of mobile banking (M-banking) adoption for achieving financial inclusion in rural India. Design/Methodology/Approach : An integrated research model was assessed through a two-step CB-SEM to explore the key determinants …
Keywords:
mobile banking adoption, technology acceptance model, UTAUT, rural India, structural equation modeling
04
Original Article
Subscription
Artificial Intelligence in Breach Detection : Need of the Hour for Password Management
Nitin Bansal
· pp. 77–96
DOI: 10.17010/ijf/2026/v20i5/175258
Purpose: The purpose of this study was to examine the role of artificial intelligence (AI) in strengthening the breach detection mechanisms and addressing emerging challenges in password management (PM). Design/Methodology/Approach : The study adopted a quantitative research design and used …
Keywords:
artificial intelligence, password management, Generations Y and Z, password cracking, automatic threat detection
