Amazon.com Средняя величина рекомендации
Что обозначает Средняя величина рекомендации в Amazon.com?
Средняя величина рекомендации Amazon.com Inc. является 1.20
Какое определение для Средняя величина рекомендации?
Средняя величина рекомендации является средним значением рейтингов аналитиков от 1,0 (активно покупать) до 5,0 (активно продавать).
Mean of recommendations is an average of ratings from different analysts but it should still be used with other research and investment metrics in order to make investment decisions. It is important to understand a firm's entire scale when assimilating ratings. Additionally, analyst recommendations on stocks owned by firms employing them may be seen as potentially biased.
Financial analysts are often employed by mutual and pension funds, hedge funds, securities firms, banks, investment banks, insurance companies, and other businesses, helping these companies or their clients make investment decisions. Financial analysts employed in commercial lending perform "balance sheet analysis," examining the audited financial statements and corollary data in order to assess lending risks. In a stock brokerage house or in an investment bank, they read company financial statements and analyze commodity prices, sales, costs, expenses, and tax rates in order to determine a company's value and project future earnings. In any of these various institutions, the analyst often meets with company officials to gain a better insight into a company's prospects and to determine the company's managerial effectiveness.
Usually, financial analysts study an entire industry, assessing current trends in business practices, products, and industry competition. They must keep abreast of new regulations or policies that may affect the industry, as well as monitor the economy to determine its effect on earnings.
Средняя величина рекомендации компаний в Consumer Discretionary сектор на NASDAQ по сравнению с Amazon.com
Что делает Amazon.com?
Amazon.com, Inc. is an American multinational technology company focusing on e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
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