Fannie Mae (UK) Probability of Future Stock Price Finishing Under 0.03
| 0IL0 Stock | 3.24 0.02 0.62% |
Fannie |
Fannie Mae Target Price Odds to finish below 0.03
The tendency of Fannie Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to 0.03 or more in 90 days |
| 3.24 | 90 days | 0.03 | near 1 |
Based on a normal probability distribution, the odds of Fannie Mae to drop to 0.03 or more in 90 days from now is near 1 (This Fannie Mae probability density function shows the probability of Fannie Stock to fall within a particular range of prices over 90 days) . Probability of Fannie Mae price to stay between 0.03 and its current price of 3.24 at the end of the 90-day period is about 99.0 .
Assuming the 90 days trading horizon the stock has the beta coefficient of 2.4 . This suggests as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Fannie Mae will likely underperform. Moreover Fannie Mae has an alpha of 1.5068, implying that it can generate a 1.51 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Fannie Mae Price Density |
| Price |
Predictive Modules for Fannie Mae
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Fannie Mae. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Fannie Mae Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Fannie Mae is not an exception. The market had few large corrections towards the Fannie Mae's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Fannie Mae, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Fannie Mae within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 1.51 | |
β | Beta against Dow Jones | 2.40 | |
σ | Overall volatility | 0.64 | |
Ir | Information ratio | 0.19 |
Fannie Mae Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Fannie Mae for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Fannie Mae can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Fannie Mae is way too risky over 90 days horizon | |
| Fannie Mae appears to be risky and price may revert if volatility continues | |
| Fannie Mae is unlikely to experience financial distress in the next 2 years | |
| Latest headline from news.google.com: Fannie Mae Slashes 2025 Home Sales Forecast as Mortgage Rates Stay Above 6 percent FNMA Stock News - StockTitan |
Fannie Mae Technical Analysis
Fannie Mae's future price can be derived by breaking down and analyzing its technical indicators over time. Fannie Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Fannie Mae. In general, you should focus on analyzing Fannie Stock price patterns and their correlations with different microeconomic environments and drivers.
Fannie Mae Predictive Forecast Models
Fannie Mae's time-series forecasting models is one of many Fannie Mae's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Fannie Mae's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Fannie Mae
Checking the ongoing alerts about Fannie Mae for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Fannie Mae help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Fannie Mae is way too risky over 90 days horizon | |
| Fannie Mae appears to be risky and price may revert if volatility continues | |
| Fannie Mae is unlikely to experience financial distress in the next 2 years | |
| Latest headline from news.google.com: Fannie Mae Slashes 2025 Home Sales Forecast as Mortgage Rates Stay Above 6 percent FNMA Stock News - StockTitan |
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.