A Study on Portfolio Diversification and Risk–Return Analysis of Selected Financial Assets in India
-
DOI:
https://doi.org/10.67228/3071-642X/IJCFDE-V9I2P102Published 04-05-2026
Portfolio Diversification, Risk–Return Analysis, Stocks, Mutual Funds, Gold ETF, Bonds, Average Return, Standard Deviation, Asset Allocation, Investment Performance Issue
Section
ArticlesHow to Cite
Daisy, A., & N, V. (2026). A Study on Portfolio Diversification and Risk–Return Analysis of Selected Financial Assets in India. International Journal of Commerce, Finance and Digital Economy, 9(2), 07-12. https://doi.org/10.67228/3071-642X/IJCFDE-V9I2P102Abstract
The present study focuses on portfolio diversification and the risk–return performance of selected financial assets in India. The study aims to understand how different investment options such as stocks, mutual funds, Gold ETF, and bonds perform under varying market conditions. Diversification is considered an important investment strategy that helps investors reduce overall portfolio risk by allocating investments across different asset categories. The research is descriptive and analytical in nature and is completely based on secondary data. Monthly historical data for the period from 2021 to 2025 were collected from financial websites, investment platforms, and published financial reports. The collected data were analyzed using tools such as return calculation, average return, standard deviation, comparative analysis, and graphical representation. The study compares the performance and volatility of selected assets to identify the relationship between risk and return. The analysis shows that equity investments generally provide higher returns with greater fluctuations, while bonds and Gold ETF offer more stable performance with lower risk. Mutual funds provide balanced investment opportunities through diversification benefits. The study highlights the importance of diversification in investment decision-making and concludes that a properly diversified portfolio can help investors manage risk while improving long-term financial stability.
References
[1] Chandra, P. (2021). Investment analysis and portfolio management (6th ed.). McGraw Hill Education.
[2] Fischer, D. E., & Jordan, R. J. (2018). Security analysis and portfolio management (6th ed.). Pearson Education.
[3] Kevin, S. (2020). Portfolio management. PHI Learning Pvt. Ltd.
[4] Bodie, Z., Kane, A., & Marcus, A. J. (2021). Investments (12th ed.). McGraw Hill Education.
[5] Reilly, F. K., & Brown, K. C. (2019). Investment analysis and portfolio management (11th ed.). Cengage Learning.
[6] Fabozzi, F. J. (2020). Bond markets, analysis, and strategies (10th ed.). Pearson Education.
[7] Jones, C. P. (2020). Investments: Analysis and management (14th ed.). Wiley.
[8] Gupta, R. (2020). Risk and return analysis of investment portfolios. Indian Journal of Finance, 14(3), 45–58.
[9] Sharma, P., & Rao, V. (2019). Portfolio diversification and investment performance. Journal of Financial Studies, 12(2), 25–36.
[10] Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77–91.
[11] Sharpe, W. F. (1964). Capital asset prices: A theory of market equilibrium under conditions of risk. The Journal of Finance, 19(3), 425–442.
[12] Fama, E. F., & French, K. R. (1992). The cross-section of expected stock returns. The Journal of Finance, 47(2), 427–465.
[13] Jensen, M. C. (1968). The performance of mutual funds in the period 1945–1964. The Journal of Finance, 23(2), 389–416.
[14] Verma, R. (2023). Portfolio diversification in uncertain markets. International Journal of Financial Studies, 11(2), 88–102.
[15] Agarwal, S. (2022). Risk–return relationship in equity markets. Journal of Investment Research, 15(4), 52–67.
[16] Sreenivasulu Gajula. (2025). Cloud Transformation in Financial Services: A Strategic Framework for Hybrid Adoption and Business Continuity. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 11(2), 1244-1254. https://doi.org/10.32628/CSEIT25112464.
Downloads
How to Cite
Daisy, A., & N, V. (2026). A Study on Portfolio Diversification and Risk–Return Analysis of Selected Financial Assets in India. International Journal of Commerce, Finance and Digital Economy, 9(2), 07-12. https://doi.org/10.67228/3071-642X/IJCFDE-V9I2P102
Most read articles by the same author(s)
- Dr. B. Asha Daisy, M. Mohamed Irfanudeen, A Study on Financial Awareness and Investment Preferences among School Teachers in and Around Sankaranpandal , International Journal of Commerce, Finance and Digital Economy: Vol. 9 No. 2 (2026)
Similar Articles
- H. N. Mahabala, AI-Assisted Decision Support Systems for Financial Managers , International Journal of Commerce, Finance and Digital Economy: Vol. 7 No. 1 (2024)
- Dr. Mohammed Asif Khan, Dr. Shalini Gupta, Temporal Causal Inference Models for Early Warning Signals in Consumer Credit Deterioration , International Journal of Commerce, Finance and Digital Economy: Vol. 1 No. 2 (2018)
- Ken Iverson, Analysis of Cart Abandonment Behavior in E-Commerce , International Journal of Commerce, Finance and Digital Economy: Vol. 6 No. 1 (2023)
- N. Seshagiri, Big Data Analytics in Corporate Financial Planning , International Journal of Commerce, Finance and Digital Economy: Vol. 7 No. 1 (2024)
- Friedrich L. Bauer, Klaus Samelson, Regulatory Compliance for Digital Payment Gateways , International Journal of Commerce, Finance and Digital Economy: Vol. 8 No. 1 (2025)
- Dr. Pooja Agarwal, Dr. Rakesh Chandra, Cross-Border E-Commerce Challenges in Emerging Markets , International Journal of Commerce, Finance and Digital Economy: Vol. 1 No. 1 (2018)
- Dr. Arvind Kumar Singh, Smart Contracts for Automated Financial Transactions , International Journal of Commerce, Finance and Digital Economy: Vol. 2 No. 1 (2019)
- David Thompson, Graph Neural Networks for Interconnected Default Risk in Supply Chain Finance Portfolios , International Journal of Commerce, Finance and Digital Economy: Vol. 1 No. 2 (2018)
- Arvind Menon, AI-Based Credit Risk Evaluation in FinTech Applications , International Journal of Commerce, Finance and Digital Economy: Vol. 2 No. 2 (2019)
- Dr. Anita Verma, AI-Based Risk Assessment Models in Banking , International Journal of Commerce, Finance and Digital Economy: Vol. 4 No. 2 (2021)
You may also start an advanced similarity search for this article.