Optimizing Portfolio Management using Mean-Variance Optimization in Python

Authors

  • Saksham Jain

DOI:

https://doi.org/10.36676/irt.2023-v9i5-004

Keywords:

flexibility, Portfolio management, economic downturns

Abstract

Portfolio management refers to the process of managing a collection of investments, known as a portfolio, intending to achieve optimal risk-adjusted returns. Portfolio management involves selecting the appropriate mix of investments to achieve a specific financial objective, such as capital appreciation, income generation, or risk reduction. A portfolio manager is responsible for constructing and maintaining a portfolio that aligns with the investor's financial goals, risk tolerance, and investment preferences. This involves conducting research and analysis to identify investment opportunities, evaluating the risk-return tradeoffs of different assets, and monitoring the performance of the portfolio over time.
Portfolio management offers several advantages to investors. One of the primary advantages of portfolio management is diversification. By investing in a range of assets such as stocks, bonds, and alternative investments, investors can spread their risk and reduce the impact of any single asset or sector on their overall portfolio performance. Diversification can help investors achieve a more stable return on investment over the long term (Investopedia, 2021). Portfolio management helps investors manage risk by balancing their exposure to different asset classes and sectors. By constructing a well-diversified portfolio, investors can reduce the risk of losses due to market volatility, economic downturns, and other external factors. Portfolio managers can also use risk management tools such as stop-loss orders and options to protect against downside risk (Investopedia, 2021). Portfolio management also offers investors the flexibility to adjust their investment strategies according to their changing needs and objectives. Investors can change their asset allocation, rebalance their portfolios, and adjust their risk profiles to suit their individual preferences and circumstances. Portfolio managers can also respond quickly to changes in market conditions and adjust their investment strategies accordingly (Investopedia, 2021). Portfolio management offers investors access to professional expertise and experience. Portfolio managers have a deep understanding of financial markets, investment strategies, and risk management techniques. They can provide investors with personalized investment advice, identify potential risks and opportunities, and help them achieve their long-term financial goals (Investopedia, 2021).

References

Markowitz, H. (1952). Portfolio selection. The Journal of Finance, 7(1), 77-91.

PyPortfolioOpt. (2021). PyPortfolioOpt: Portfolio Optimisation in Python. Retrieved from https://pyportfolioopt.readthedocs.io/en/latest/index.html

Boyd, A. (2020). The biggest challenges of portfolio management in 2020. Efinancialcareers. Retrieved from https://www.efinancialcareers.com/news/2020/06/portfolio-management-challenges-2020

Huang, W., & Liu, Y. (2017). Big data challenges in portfolio management. Journal of Big Data, 4(1), 30.

Jaworski, M. (2021). The challenges of portfolio optimization. Seeking Alpha. Retrieved from https://seekingalpha.com/article/4421042-challenges-of-portfolio-optimization

Investopedia. (2021). Portfolio Management. Retrieved from https://www.investopedia.com/terms/p/portfoliomanagement.asp

Schwab, C. (2021). Types of investment portfolios. Charles Schwab. Retrieved from https://www.schwab.com/resource-center/insights/content/types-of-investment-portfolios

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Published

2023-12-30
CITATION
DOI: 10.36676/irt.2023-v9i5-004
Published: 2023-12-30

How to Cite

Saksham Jain. (2023). Optimizing Portfolio Management using Mean-Variance Optimization in Python. Innovative Research Thoughts, 9(5), 33–41. https://doi.org/10.36676/irt.2023-v9i5-004