@article{(Open Science Index):https://publications.waset.org/pdf/10012815, title = {Evaluating Portfolio Performance by Highlighting Network Property and the Sharpe Ratio in the Stock Market}, author = {Zahra Hatami and Hesham Ali and David Volkman}, country = {}, institution = {}, abstract = {Selecting a portfolio for investing is a crucial decision for individuals and legal entities. In the last two decades, with economic globalization, a stream of financial innovations has rushed to the aid of financial institutions. The importance of selecting stocks for the portfolio is always a challenging task for investors. This study aims to create a financial network to identify optimal portfolios using network centralities metrics. This research presents a community detection technique of superior stocks that can be described as an optimal stock portfolio to be used by investors. By using the advantages of a network and its property in extracted communities, a group of stocks was selected for each of the various time periods. The performance of the optimal portfolios was compared to the famous index. Their Sharpe ratio was calculated in a timely manner to evaluate their profit for making decisions. The analysis shows that the selected potential portfolio from stocks with low centrality measurement can outperform the market; however, they have a lower Sharpe ratio than stocks with high centrality scores. In other words, stocks with low centralities could outperform the S&P500 yet have a lower Sharpe ratio than high central stocks.}, journal = {International Journal of Economics and Management Engineering}, volume = {16}, number = {12}, year = {2022}, pages = {752 - 756}, ee = {https://publications.waset.org/pdf/10012815}, url = {https://publications.waset.org/vol/192}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 192, 2022}, }