Fannie Mae (UK) Price on November 17, 2023
0IL0 Stock | 3.14 0.04 1.26% |
Below is the normalized historical share price chart for Fannie Mae extending back to February 06, 2018. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Fannie Mae stands at 3.14, as last reported on the 29th of November, with the highest price reaching 3.16 and the lowest price hitting 3.11 during the day.
If you're considering investing in Fannie Stock, it is important to understand the factors that can impact its price. Fannie Mae is dangerous given 3 months investment horizon. Fannie Mae secures Sharpe Ratio (or Efficiency) of 0.28, which denotes the company had a 0.28% return per unit of risk over the last 3 months. We are able to interpolate and collect twenty-eight different technical indicators, which can help you to evaluate if expected returns of 2.63% are justified by taking the suggested risk. Use Fannie Mae Downside Deviation of 6.54, coefficient of variation of 511.32, and Mean Deviation of 6.4 to evaluate company specific risk that cannot be diversified away.
Total Stockholder Equity is likely to gain to about 30.5 B in 2024, whereas Other Stockholder Equity is likely to drop slightly above 29.9 M in 2024. . Fannie Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 0.7708 | 50 Day MA 1.1614 | Beta 1.603 |
Fannie |
Sharpe Ratio = 0.285
Best Portfolio | Best Equity | |||
Good Returns | 0IL0 | |||
Average Returns | ||||
Small Returns | ||||
Cash | Small Risk | Average Risk | High Risk | Huge Risk |
Negative Returns |
Estimated Market Risk
9.21 actual daily | 82 82% of assets are less volatile |
Expected Return
2.63 actual daily | 52 52% of assets have lower returns |
Risk-Adjusted Return
0.28 actual daily | 22 78% of assets perform better |
Based on monthly moving average Fannie Mae is performing at about 22% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Fannie Mae by adding it to a well-diversified portfolio.
Book Value (8.61) | Enterprise Value 4.3 T | Price Sales 0.5341 | Shares Float 1.2 B | Shares Outstanding 5.7 B |
Fannie Mae Valuation on November 17, 2023
It is possible to determine the worth of Fannie Mae on a given historical date. On November 17, 2023 Fannie was worth 0.73 at the beginning of the trading date compared to the closed value of 0.72. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Fannie Mae stock. Still, in general, we apply an absolute valuation method to find Fannie Mae's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Fannie Mae where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Fannie Mae's related companies.
Open | High | Low | Close | Volume | |
0.71 | 0.71 | 0.71 | 0.71 | 1,000.00 | |
11/17/2023 | 0.73 | 0.73 | 0.72 | 0.72 | 2,500 |
0.70 | 0.70 | 0.70 | 0.70 | 100.00 |
Backtest Fannie Mae | | | Fannie Mae History | | | Fannie Mae Valuation | Previous | Next |
Fannie Mae Trading Date Momentum on November 17, 2023
On November 20 2023 Fannie Mae was traded for 0.70 at the closing time. The highest price during the trading period was 0.70 and the lowest recorded bid was listed for 0.70 . The volume for the day was 100.0. This history from November 20, 2023 contributed to the next trading day price decline. The daily price change to the next closing price was 2.78% . The overall trading delta to the current price is 1.39% . |
Fannie Mae Fundamentals Correlations and Trends
By evaluating Fannie Mae's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Fannie Mae's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Fannie financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Fannie Mae Stock history
Fannie Mae investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Fannie is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Fannie Mae will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Fannie Mae stock prices may prove useful in developing a viable investing in Fannie Mae
Last Reported | Projected for Next Year | ||
Net Income Applicable To Common Shares | 3.5 M | 3.6 M |
Fannie Mae Stock Technical Analysis
Fannie Mae 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.
Price Boundaries
Fannie Mae Period Price Range
Low | November 29, 2024
| High |
0.00 | 0.00 |
Fannie Mae cannot be verified against its exchange. Please verify the symbol is currently traded on London Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Fannie Mae November 29, 2024 Market Strength
Market strength indicators help investors to evaluate how Fannie Mae stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Fannie Mae shares will generate the highest return on investment. By undertsting and applying Fannie Mae stock market strength indicators, traders can identify Fannie Mae entry and exit signals to maximize returns
Fannie Mae Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Fannie Mae's price direction in advance. Along with the technical and fundamental analysis of Fannie Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Fannie to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
Risk Adjusted Performance | 0.159 | |||
Jensen Alpha | 1.42 | |||
Total Risk Alpha | 0.3779 | |||
Sortino Ratio | 0.2384 | |||
Treynor Ratio | 0.7668 |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Additional Tools for Fannie Stock Analysis
When running Fannie Mae's price analysis, check to measure Fannie Mae's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fannie Mae is operating at the current time. Most of Fannie Mae's value examination focuses on studying past and present price action to predict the probability of Fannie Mae's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fannie Mae's price. Additionally, you may evaluate how the addition of Fannie Mae to your portfolios can decrease your overall portfolio volatility.