01
Original Article
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Envision Future Prices of Select Power Sector Equities : An Application of an AI Model
D. Sudarsana Murthy, T. Deva Prasad, J. Katyayani, B. Gangaiah
· pp. 8–36
DOI: 10.17010/ijf/2025/v19i9/174429
Purpose: This study aimed to predict impending power sector equity prices listed on the National Stock Exchange (NSE) by applying an AI Model. In a dynamic market, investors want quick and reliable information on trade trends and expected price movements. …
Keywords:
equity price prediction, artificial intelligence (AI), machine learning (ML), linear regression, KNN, LSTM
02
Original Article
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Financial Development and Sectoral Productivity : New Insights from Selected G20 Economies
Niti Khandelwal Garg
· pp. 37–56
DOI: 10.17010/ijf/2025/v19i9/174521
Purpose: The study empirically investigated the linkages between financial development and sectoral labor productivity of a group of seven major advanced economies (G7) and the major emerging economies, viz., India, South Africa, Indonesia, Brazil, Mexico, South Korea, China, and Australia, …
Keywords:
labor productivity, panel cointegration, cross-sectional dependence, augmented mean group (AMG), innovation, financial development, G7, emerging economies
03
Original Article
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Determinants of Dividend Payout Decisions of FMCG Companies in India : A Study of Firm-Specific Characteristics of Selected Companies
Navleen Kaur
· pp. 57–72
DOI: 10.17010/ijf/2025/v19i9/174433
Purpose: Designing an effective dividend policy is crucial for corporate finance as it impacts all stakeholders. This study examined the determinants of dividend payout decisions for fast-moving consumer goods (FMCG) companies in India. Research Methodology: This study utilized quantitative data …
Keywords:
dividend, determinants, payout, panel data, FMCG
04
Original Article
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Time Series Analysis of FDI in India Using ARIMA-SVR Hybrid Machine Learning Model
M. Nagesh, D. Mallikarjuna Reddy, Nitendra Kumar, Ravi Prakash Chaturvedi, Annu Mishra
· pp. 73–88
DOI: 10.17010/ijf/2025/v19i9/175510
Purpose: This research analyzed the temporal patterns of foreign direct investment (FDI) inflow in India for 53 years (1970–2023) to determine sectoral contributions and the general economic impact of FDI. The emphasis was on enhancing accuracy in time-series forecasting of …
Keywords:
foreign direct investment, autoregressive integrated moving average (ARIMA), support vector regression (SVM), hybrid machine learning, forecasting, economic implications
