WASET
	@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},
	}