Fannie Mae (UK) Price Prediction
| 0IL0 Stock | 3.22 0.25 8.42% |
Oversold Vs Overbought
65
Oversold | Overbought |
Using Fannie Mae hype-based prediction, you can estimate the value of Fannie Mae from the perspective of Fannie Mae response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Fannie Mae to buy its stock at a price that has no basis in reality. In that case, they are not buying Fannie because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Fannie Mae after-hype prediction price | USD 3.22 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Fannie |
Fannie Mae After-Hype Price Prediction Density Analysis
As far as predicting the price of Fannie Mae at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Fannie Mae or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Fannie Mae, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Fannie Mae Estimiated After-Hype Price Volatility
In the context of predicting Fannie Mae's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Fannie Mae's historical news coverage. Fannie Mae's after-hype downside and upside margins for the prediction period are 0.16 and 12.68, respectively. We have considered Fannie Mae's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Fannie Mae is dangerous at this time. Analysis and calculation of next after-hype price of Fannie Mae is based on 3 months time horizon.
Fannie Mae Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Fannie Mae is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Fannie Mae backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Fannie Mae, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
2.90 | 9.46 | 0.00 | 4.25 | 0 Events / Month | 1 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
3.22 | 3.22 | 0.00 |
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Fannie Mae Hype Timeline
Fannie Mae is presently traded for 3.22on London Exchange of UK. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 4.25. Fannie is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is projected to be very small, whereas the daily expected return is presently at 2.9%. %. The volatility of related hype on Fannie Mae is about 646.05%, with the expected price after the next announcement by competition of 7.47. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next projected press release will be in 5 to 10 days. Check out Fannie Mae Basic Forecasting Models to cross-verify your projections.Fannie Mae Related Hype Analysis
Having access to credible news sources related to Fannie Mae's direct competition is more important than ever and may enhance your ability to predict Fannie Mae's future price movements. Getting to know how Fannie Mae's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Fannie Mae may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 0K19 | Microchip Technology | 0.61 | 3 per month | 0.00 | (0.18) | 3.62 | (4.32) | 9.50 | |
| 0QR1 | Schweiter Technologies AG | 3.00 | 1 per month | 0.00 | (0.09) | 2.98 | (2.94) | 14.33 | |
| 0IBC | Discover Financial Services | (1.36) | 2 per month | 1.40 | 0.11 | 3.67 | (2.75) | 19.66 | |
| 0R8S | Infrastrutture Wireless Italiane | 0.00 | 0 per month | 0.00 | (0.25) | 1.12 | (1.55) | 7.55 | |
| 0GDR | UNIQA Insurance Group | 0.00 | 0 per month | 0.00 | (0.18) | 1.18 | (1.33) | 3.09 | |
| AATG | Albion Technology General | 0.00 | 3 per month | 0.00 | (0.10) | 0.55 | 0.00 | 6.29 | |
| CLBS | Celebrus Technologies plc | 8.00 | 2 per month | 1.60 | (0.03) | 5.33 | (2.91) | 13.21 |
Fannie Mae Additional Predictive Modules
Most predictive techniques to examine Fannie price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Fannie using various technical indicators. When you analyze Fannie charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Fannie Mae Predictive Indicators
The successful prediction of Fannie Mae stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Fannie Mae, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Fannie Mae based on analysis of Fannie Mae hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Fannie Mae's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Fannie Mae's related companies.
Story Coverage note for Fannie Mae
The number of cover stories for Fannie Mae depends on current market conditions and Fannie Mae's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Fannie Mae is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Fannie Mae's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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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.