Ellington Financial Price Fair Value Over Time
EFC-PE Stock | 25.56 0.00 0.00% |
With this module, investors can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible portfolio assets.
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. Ellington |
Cross Equities Price Fair Value Analysis
Compare Ellington Financial and related stocks such as AG Mortgage Investment, AG Mortgage Investment, and AG Mortgage Investment Price Fair Value Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RPT | 0.8864 | 0.842 | 1.108 | 1.2128 | 1.5028 | 1.4811 | 1.5088 | 1.3522 | 1.1714 | 1.5929 | 0.8844 | 1.2371 | 0.8804 | 1.0086 | 0.84 |
Ellington Financial and related stocks such as AG Mortgage Investment, AG Mortgage Investment, and AG Mortgage Investment Price Fair Value description
My Equities
My Current Equities and Potential Positions
Ellington Financial | EFC-PE |
Specialization | Real Estate, REIT - Mortgage |
Location | Connecticut; U.S.A |
Exchange | New York Stock Exchange |
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Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Ellington Financial technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.