GOAL ORIENTED SMART PORTFOLIO OPTIMIZATION
Portfolio optimization is a critical aspect of investment strategy, which aims to maximize returns while minimizing risk. This paper presents a comprehensive framework for portfolio optimization, encompassing risk assessment, data preprocessing, and optimization methodologies over a dataset of the N...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
University of Kragujevac
2025-03-01
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| Series: | Proceedings on Engineering Sciences |
| Subjects: | |
| Online Access: | https://pesjournal.net/journal/v7-n1/52.pdf |
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| Summary: | Portfolio optimization is a critical aspect of investment strategy, which aims to maximize returns while minimizing risk. This paper presents a comprehensive framework for portfolio optimization, encompassing risk assessment, data preprocessing, and optimization methodologies over a dataset of the Nifty500 index. Leveraging the investment risk profiling guide from the Chartered Financial Accountant (CFA) Institute, users are categorized into risk profiles ranging from "Low" to "Very high". Historical stock data from the NIFTY500 list is preprocessed which includes data cleansing and volatility analysis to categorize stocks into corresponding risk classes. Basic portfolios are generated using equal-weighted strategies followed by generating optimized portfolios by applying different optimization techniques: Monte Carlo simulation, Efficient Frontier, and the Black-Litterman model. These methodologies provide portfolios with optimized weights, which are further refined through a discrete allocation process. The algorithms are compared using volatility, returns, and Sharpe ratio as metrics. The effectiveness of the optimized portfolios is evaluated through backtesting against Nifty50 prices over a three-month window. This comprehensive approach offers investors a robust framework for constructing well-balanced portfolios tailored to their risk preferences and investment goals. |
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| ISSN: | 2620-2832 2683-4111 |