Adaptive Portfolio Strategies: Comparing Pre-, during and Post-COVID-19 Dynamics using Mean-Variance Optimization

This study examines the influence of the COVID-19 epidemic on the global stock market using mean-variance optimization (MVO) based on Markowitz's portfolio theory. The analysis examines the performance of portfolios tailored to different sectors both before, during and the post-pandemic. It provides insights into the changes in risk-return characteristics across diverse businesses. The dataset consists of the mean closing prices of a variety of stocks, divided into two/three separate periods: before the outbreak of COVID-19, during the COVID-19 and post-pandemic. The study utilizes covariance matrices, anticipated returns, and logarithmic returns to calculate efficient frontiers that emphasize portfolios with the highest Sharpe ratios. The results demonstrate substantial alterations in the relationship between risk and return in several industries, illustrating the diverse influence of the pandemic on themarket. The efficient boundaries clearly illustrate a significant change in the optimal weights and risk levels of portfolios, with certain sectors experiencing higher volatility and lower returns amid the epidemic. The study also does a back testing of the optimal portfolios, uncovering varying levels of performance and durability during the periods. These findings underscore the importance of implementing adaptive portfolio management strategies, particularly in the face of global crises such as COVID-19. In addition, the study performs a sensitivity analysis by altering important criteria such as the risk-free rate and the quantity of assets in the portfolios in order to assess the strength and reliability of the results. This research provides a more profound understanding of how changes in assumptions can impact portfolio performance and the selection of optimal choices. In summary, this research provides significant information for investors by offering a quantitative framework that can help in effectively managing portfolios during periods of market volatility. The study emphasizes the importance of employing adaptable investing strategies to minimize risks and maximize returns in the face of unprecedented problems such as the COVID-19 pandemic.

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Publication Details

Journal
Semarak International Journal in Modern Accounting and Finance
Published
2025-03-30
DOI
https://doi.org/10.37934/sijmaf.4.1.117
Citations
2
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
4.42

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article

Adaptive Portfolio Strategies: Comparing Pre-, during and Post-COVID-19 Dynamics using Mean-Variance Optimization

Sabastine Emmanuel, Saratha Sathasivam, Muraly Velavan, Vediyappan Govinda
2 citations
Semarak International Journal in Modern Accounting and Finance
Financial Markets and Investment Strategies
4.42
article

Adaptive Portfolio Strategies: Comparing Pre-, during and Post-COVID-19 Dynamics using Mean-Variance Optimization

Sabastine Emmanuel, Saratha Sathasivam, Muraly Velavan, Vediyappan Govinda
article en
2 citations

Abstract

This study examines the influence of the COVID-19 epidemic on the global stock market using mean-variance optimization (MVO) based on Markowitz's portfolio theory. The analysis examines the performance of portfolios tailored to different sectors both before, during and the post-pandemic. It provides insights into the changes in risk-return characteristics across diverse businesses. The dataset consists of the mean closing prices of a variety of stocks, divided into two/three separate periods: before the outbreak of COVID-19, during the COVID-19 and post-pandemic. The study utilizes covariance matrices, anticipated returns, and logarithmic returns to calculate efficient frontiers that emphasize portfolios with the highest Sharpe ratios. The results demonstrate substantial alterations in the relationship between risk and return in several industries, illustrating the diverse influence of the pandemic on themarket. The efficient boundaries clearly illustrate a significant change in the optimal weights and risk levels of portfolios, with certain sectors experiencing higher volatility and lower returns amid the epidemic. The study also does a back testing of the optimal portfolios, uncovering varying levels of performance and durability during the periods. These findings underscore the importance of implementing adaptive portfolio management strategies, particularly in the face of global crises such as COVID-19. In addition, the study performs a sensitivity analysis by altering important criteria such as the risk-free rate and the quantity of assets in the portfolios in order to assess the strength and reliability of the results. This research provides a more profound understanding of how changes in assumptions can impact portfolio performance and the selection of optimal choices. In summary, this research provides significant information for investors by offering a quantitative framework that can help in effectively managing portfolios during periods of market volatility. The study emphasizes the importance of employing adaptable investing strategies to minimize risks and maximize returns in the face of unprecedented problems such as the COVID-19 pandemic.

Semarak International Journal in Modern Accounting and FinanceVol. 4(1)
Universiti Sains Malaysia (MY), Federal University Lokoja (NG), AIMST University (MY), Hindustan Institute of Technology and Science (IN)
Universiti Sains Malaysia
Openalex Percentile: Top 7%
Financial Markets and Investment Strategies
4.42
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