01
Original Article
Open Access
Applications of Machine Learning and Determinants of Dividend Decision : Evidence from Indian Firms
Sandeep Vodwal, Vipin Negi
· pp. 8–24
DOI: 10.17010/ijf/2023/v17i5/171154
Purpose: The theories of dividend decision have disentangled the firms’ critical drivers of the dividend announcement, and their performances are empirically evaluated by employing ordinary least squares (OLS). However, after more than half a century of research, the debate over …
Keywords:
overfitting, machine learning, dividend decision JELClassification Codes
02
Original Article
Open Access
Pay with Confidence : A Thematic Analysis of User Intentions and Perceptions on Third-Party and Banking Payment Apps
Subhajit Pahari, Atanu Manna, Debasish Biswas
· pp. 25–38
DOI: 10.17010/ijf/2023/v17i5/172735
Purpose: Mobile payment and banking applications have transformed traditional banking systems, gaining immense popularity among consumers. This study aimed to compare the usefulness and reliability of third-party payment and banking apps from the users’ perspective. Methodology: Using a qualitative research …
Keywords:
banking payment app, third-party payment app, thematic analysis, user intentions, perceptions JELClassification Codes, G210, M310, O330
03
Original Article
Open Access
Performance of Conventional and Sustainable Index in Pre and During the COVID-19 Pandemic : A Comparative Analysis
Manpreet Kaur Makkar, Atif Ghayas, Nitin Gupta
· pp. 39–52
DOI: 10.17010/ijf/2023/v17i5/172736
Purpose: There has been a significant increase in the demand for ESG (environmental, social, and governance) investment by investors in recent years. Investors are recognizing that companies that prioritize ESG factors in their operations are more likely to be sustainable …
Keywords:
COVID-19, pandemic, NIFTY 100, CSR, ESG, sustainable development goals, EGARCH, return JELClassification Codes
04
Original Article
Open Access
Academic Research on Indian Mutual Funds : A Systematic Review
Aditi Mohan, N. S. Bohra
· pp. 53–65
DOI: 10.17010/ijf/2023/v17i5/170161
Purpose: This study presented a systematic review of academic research conducted on the Indian mutual fund industry (IMFI). Our objective of this review was to present the academic researchers’ perspectives on the fastest-growing preferred investment avenue of the Indian financial …
Keywords:
systematic review, Indian mutual funds, doctoral thesis, research articles JELClassification Codes
