Ginnie Mae Mutual Fund Forward View
| BGNMX Fund | USD 9.11 0.01 0.11% |
Ginnie Mutual Fund outlook is based on your current time horizon.
At this time the relative strength index (rsi) of Ginnie Mae's share price is below 20 suggesting that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Ginnie Mae hype-based prediction, you can estimate the value of Ginnie Mae Fund from the perspective of Ginnie Mae response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Ginnie Mae Fund on the next trading day is expected to be 9.14 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.83. Ginnie Mae after-hype prediction price | USD 9.11 |
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 fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Ginnie |
Ginnie Mae Additional Predictive Modules
Most predictive techniques to examine Ginnie price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ginnie using various technical indicators. When you analyze Ginnie 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 |
Ginnie Mae Naive Prediction Price Forecast For the 13th of February 2026
Given 90 days horizon, the Naive Prediction forecasted value of Ginnie Mae Fund on the next trading day is expected to be 9.14 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0003, and the sum of the absolute errors of 0.83.Please note that although there have been many attempts to predict Ginnie Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Ginnie Mae's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Ginnie Mae Mutual Fund Forecast Pattern
| Backtest Ginnie Mae | Ginnie Mae Price Prediction | Research Analysis |
Ginnie Mae Forecasted Value
In the context of forecasting Ginnie Mae's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Ginnie Mae's downside and upside margins for the forecasting period are 8.98 and 9.30, respectively. We have considered Ginnie Mae's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Ginnie Mae mutual fund data series using in forecasting. Note that when a statistical model is used to represent Ginnie Mae mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 111.7625 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0134 |
| MAPE | Mean absolute percentage error | 0.0015 |
| SAE | Sum of the absolute errors | 0.8339 |
Predictive Modules for Ginnie 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 Ginnie Mae Fund. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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.Ginnie Mae After-Hype Price Density Analysis
As far as predicting the price of Ginnie 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 Ginnie 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 Mutual Fund prices, such as prices of Ginnie Mae, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Ginnie Mae Estimiated After-Hype Price Volatility
In the context of predicting Ginnie Mae's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ginnie Mae's historical news coverage. Ginnie Mae's after-hype downside and upside margins for the prediction period are 8.95 and 9.27, respectively. We have considered Ginnie 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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Ginnie Mae is very steady at this time. Analysis and calculation of next after-hype price of Ginnie Mae Fund is based on 3 months time horizon.
Ginnie Mae Mutual Fund Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as Ginnie Mae is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ginnie 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 Fund 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 Ginnie 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 |
0.03 | 0.16 | 0.00 | 0.02 | 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 | |
9.11 | 9.11 | 0.00 |
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Ginnie Mae Hype Timeline
Ginnie Mae Fund is currently traded for 9.11. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.02. Ginnie is expected 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 expected to be very small, whereas the daily expected return is currently at 0.03%. %. The volatility of related hype on Ginnie Mae is about 31.56%, with the expected price after the next announcement by competition of 9.13. Assuming the 90 days horizon the next expected press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Ginnie Mae to cross-verify your projections.Ginnie Mae Related Hype Analysis
Having access to credible news sources related to Ginnie Mae's direct competition is more important than ever and may enhance your ability to predict Ginnie Mae's future price movements. Getting to know how Ginnie 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 Ginnie Mae may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| WAESX | Wasatch Emerging Markets | 0.00 | 0 per month | 0.79 | (0.05) | 1.52 | (1.46) | 3.65 | |
| AOVIX | One Choice Portfolio | 0.00 | 0 per month | 0.41 | 0.10 | 1.30 | (1.25) | 9.26 | |
| LEAOX | Lazard Emerging Markets | 0.06 | 2 per month | 0.35 | 0.15 | 1.75 | (1.00) | 3.77 | |
| MSSMX | Small Pany Growth | 5.23 | 2 per month | 0.00 | (0.17) | 2.46 | (3.81) | 9.58 | |
| MSSGX | Small Pany Growth | 0.00 | 0 per month | 0.00 | (0.16) | 2.47 | (3.02) | 9.49 | |
| NCBGX | New Enant Balanced | 0.00 | 0 per month | 0.08 | 0.05 | 0.85 | (0.71) | 9.81 | |
| ETAMX | Eventide Multi Asset Income | 0.00 | 0 per month | 0.24 | 0.04 | 0.90 | (0.70) | 5.25 | |
| HFCVX | Hennessy Nerstone Value | (0.09) | 1 per month | 0.00 | 0.23 | 1.32 | (0.74) | 6.17 | |
| PBFDX | Payson Total Return | (0.13) | 2 per month | 0.92 | (0) | 1.84 | (1.99) | 4.92 | |
| AUUCX | Ab Select Equity | 0.00 | 0 per month | 0.48 | 0.05 | 1.22 | (1.00) | 10.07 |
Other Forecasting Options for Ginnie Mae
For every potential investor in Ginnie, whether a beginner or expert, Ginnie Mae's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Ginnie Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Ginnie. Basic forecasting techniques help filter out the noise by identifying Ginnie Mae's price trends.Ginnie Mae Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Ginnie Mae mutual fund to make a market-neutral strategy. Peer analysis of Ginnie Mae could also be used in its relative valuation, which is a method of valuing Ginnie Mae by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Ginnie Mae Market Strength Events
Market strength indicators help investors to evaluate how Ginnie Mae mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Ginnie Mae shares will generate the highest return on investment. By undertsting and applying Ginnie Mae mutual fund market strength indicators, traders can identify Ginnie Mae Fund entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 9.11 | |||
| Day Typical Price | 9.11 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
Ginnie Mae Risk Indicators
The analysis of Ginnie Mae's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Ginnie Mae's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ginnie mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 0.1347 | |||
| Standard Deviation | 0.1665 | |||
| Variance | 0.0277 | |||
| Downside Variance | 0.0301 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.20) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Ginnie Mae
The number of cover stories for Ginnie Mae depends on current market conditions and Ginnie 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 Ginnie 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 Ginnie Mae's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
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Other Information on Investing in Ginnie Mutual Fund
Ginnie Mae financial ratios help investors to determine whether Ginnie Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ginnie with respect to the benefits of owning Ginnie Mae security.
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