Intelligent Designed Assistance Model to Evaluate the Role of Social Media Marketing in Promoting Investment in Mutual Funds in India

Dr. Venkateswarlu Chandu; Molakalapalli Chandana; Tamma manjunatha anudeep; Kandula Venkata Samba Siva Rao; Tadisetty Vishnu

doi:10.69996/9z4mkb48

Authors

Dr. Venkateswarlu Chandu Author
Molakalapalli Chandana Author
Tamma manjunatha anudeep Author
Kandula Venkata Samba Siva Rao Author
Tadisetty Vishnu Author

DOI:

https://doi.org/10.69996/9z4mkb48

Keywords:

Social media marketing, Intelligent Marketing, mutual funds, investment behavior, financial services, Assistance System

Abstract

This research article explores the impact of social media marketing on promoting investment in mutual funds in India. With the increasing penetration of the internet and the rise of social media platforms, financial institutions are leveraging these channels to engage potential investors. The study investigates the effectiveness of social media marketing strategies in influencing investor behavior, awareness, and decision-making regarding mutual funds. A mixed-method approach was employed, including surveys and interviews with industry experts and investors. This paper explores the application of the Intelligent Designer Assistance System (IDAS) in mutual fund analysis, offering a comprehensive framework for evaluating mutual funds based on key financial metrics. IDAS integrates multiple parameters such as risk levels, return on investment (ROI), cost efficiency, volatility, Sharpe ratio, beta, fund size, and manager tenure, among others, to provide insights that assist investors in making informed decisions. Through the analysis of various fund types, including equity, bond, balanced, and sector funds, this study demonstrates how IDAS can tailor investment recommendations according to individual risk preferences and financial goals. The findings emphasize the importance of aligning investment strategies with factors like fund performance consistency, adaptability to market conditions, and overall cost-effectiveness. This approach enables investors to optimize their portfolios by selecting funds that best match their risk tolerance, return expectations, and sector interests, leading to more strategic and efficient investment choices. This paper investigates the role of social media marketing in promoting investments in New Fund Offers (NFOs) within the Indian mutual fund landscape. As financial institutions increasingly leverage social media platforms for marketing, understanding their effectiveness in influencing investor behavior becomes crucial. This study employs a mixed-method approach, including quantitative surveys and qualitative interviews, to analyze how social media impacts awareness, engagement, and investment decisions related to NFOs.

References

1.S. Kumar, M. Srivastava and V. Prakash, “Challenges and opportunities for mutual fund investment and the role of industry 4.0 to recommend the individual for speculation,” New Horizons for Industry 4.0 in Modern Business, pp. 69-98, 2023.

2.R. G. Novais, P. Wanke, J. Antunes and Y. Tan, “Portfolio optimization with a mean-entropy-mutual information model,” Entropy, vol.24, no.3, pp.369, 2022.

3.P. Peykani, A. Emrouznejad, E. Mohammadi and J. Gheidar-Kheljani, “A novel robust network data envelopment analysis approach for performance assessment of mutual funds under uncertainty,” Annals of Operations Research, vol.339, no.3, pp.1149-1175, 2024.

4.S. Agarwal and N.B. Muppalaneni, “Portfolio optimization in stocks using mean–variance optimization and the efficient frontier,” International Journal of Information Technology, vol.14, no.6, pp.2917-2926, 2022.

5.S. Yu, H. Wang and C. Dong, “Learning risk preferences from investment portfolios using inverse optimization,” Research in International Business and Finance, vol.64, pp. 101879, 2023.

6.J. Murthy, M.S.R. Anjaneyulu, M. H. Bhatt and M.D.S. Kumar, “Performance evaluation of mutual funds: A study on selected equity mutual funds In India,” Journal of Positive School Psychology, vol.6, no.9, pp.1124-1132, 2022.

7.K. Liagkouras, K. Metaxiotis and G, Tsihrintzis, “Incorporating environmental and social considerations into the portfolio optimization process,” Annals of Operations Research, pp. 1-26, 2022.

8.Y.C. Chou, C.T. Chen and S.H. Huang, “Modeling behavior sequence for personalized fund recommendation with graphical deep collaborative filtering,” Expert Systems with Applications, vol.192, pp.116311, 2022.

9.A. H. Abdel-aziem, H. K. Mohamed and A. Abdelhafeez, “Neutrosophic decision making model for investment portfolios selection and optimizing based on wide variety of investment opportunities and many criteria in market,” Neutrosophic systems with applications, vol.6, pp.32-38, 2023.

10.P. Xidonas and E. Essner, “On ESG portfolio construction: A multi-objective optimization approach,” Computational Economics, vol.63, no.1, pp.21-45, 2024.

11.L. Barras, P. Gagliardini and O. Scaillet, “Skill, scale, and value creation in the mutual fund industry,” The Journal of Finance, vol.77, no.1, pp.601-638, 2022.

12.I. Jin, “Systematic ESG Risk and Decision Criteria for Optimal Portfolio Selection,” Journal of Portfolio Management, vol.48, no.10, 2022.

13.S. Mohanty and R. Dash, “A flower pollination algorithm based Chebyshev polynomial neural network for net asset value prediction,” Evolutionary Intelligence, vol.16, no.1, pp.115-131, 2023.

14.A. K. Mishra, R. Bansal, P.K. Maurya, S. K., Kar and P.K. Bakshi, “Predicting the antecedents of consumers' intention toward purchase of mutual funds: A hybrid PLS‐SEM‐neural network approach,” International Journal of Consumer Studies, vol.47, no.2, pp.563-587, 2023.

15.P. Y. Hsu, C. T. Chen, C. Chou and S.H. Huang, “Explainable mutual fund recommendation system developed based on knowledge graph embeddings,” Applied Intelligence, pp.1-26, 2022.

16.M. Drenovak, V. Ranković, B. Urošević and R. Jelic, “Mean-maximum drawdown optimization of buy-and-hold portfolios using a multi-objective evolutionary algorithm,” Finance Research Letters, vol.46, pp.102328, 2022.