College Retirement Fund Forward View
| QCGLRX Fund | USD 428.34 1.24 0.29% |
College Fund outlook is based on your current time horizon.
At this time, The relative strength index (RSI) of College Retirement's share price is at 57 indicating that the fund is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling College Retirement, making its price go up or down. Momentum 57
Buy Extended
Oversold | Overbought |
Using College Retirement hype-based prediction, you can estimate the value of College Retirement Equities from the perspective of College Retirement response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of College Retirement Equities on the next trading day is expected to be 431.79 with a mean absolute deviation of 2.29 and the sum of the absolute errors of 139.87. College Retirement after-hype prediction price | USD 428.35 |
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.
College |
College Retirement Additional Predictive Modules
Most predictive techniques to examine College price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for College using various technical indicators. When you analyze College 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 |
College Retirement Naive Prediction Price Forecast For the 21st of February
Given 90 days horizon, the Naive Prediction forecasted value of College Retirement Equities on the next trading day is expected to be 431.79 with a mean absolute deviation of 2.29, mean absolute percentage error of 9.13, and the sum of the absolute errors of 139.87.Please note that although there have been many attempts to predict College 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 College Retirement's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
College Retirement Fund Forecast Pattern
College Retirement Forecasted Value
In the context of forecasting College Retirement's 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. College Retirement's downside and upside margins for the forecasting period are 431.08 and 432.49, respectively. We have considered College Retirement'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 College Retirement fund data series using in forecasting. Note that when a statistical model is used to represent College Retirement 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 | 120.3224 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 2.2929 |
| MAPE | Mean absolute percentage error | 0.0055 |
| SAE | Sum of the absolute errors | 139.8694 |
Predictive Modules for College Retirement
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as College Retirement. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.College Retirement Estimiated After-Hype Price Volatility
As far as predicting the price of College Retirement 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 College Retirement 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 Fund prices, such as prices of College Retirement, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
College Retirement Fund Price Outlook Analysis
Have you ever been surprised when a price of a Fund such as College Retirement is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading College Retirement 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 College Retirement, 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 |
0.11 | 0.70 | 0.01 | 0.00 | 1 Events / Month | 3 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
428.34 | 428.35 | 0.00 |
|
College Retirement Hype Timeline
College Retirement is at this time traded for 428.34. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.0. College is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is over 100%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.11%. %. The volatility of related hype on College Retirement is about 1750.0%, with the expected price after the next announcement by competition of 428.34. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next forecasted press release will be very soon. Check out fundamental analysis of College Retirement to check your projections.College Retirement Related Hype Analysis
Having access to credible news sources related to College Retirement's direct competition is more important than ever and may enhance your ability to predict College Retirement's future price movements. Getting to know how College Retirement'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 College Retirement may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| VTSAX | Vanguard Total Stock | (0.29) | 1 per month | 0.80 | (0.05) | 1.11 | (1.58) | 3.73 | |
| VFIAX | Vanguard 500 Index | 0.40 | 1 per month | 0.71 | (0.04) | 0.99 | (1.22) | 3.61 | |
| VTSMX | Vanguard Total Stock | 0.93 | 1 per month | 0.71 | (0.03) | 1.11 | (1.28) | 3.74 | |
| VSTSX | Vanguard Total Stock | 0.00 | 0 per month | 0.80 | (0.05) | 1.11 | (1.58) | 3.74 | |
| VITSX | Vanguard Total Stock | (0.16) | 12 per month | 0.71 | (0.03) | 1.11 | (1.28) | 3.73 | |
| VSMPX | Vanguard Total Stock | (0.16) | 12 per month | 0.71 | (0.03) | 1.11 | (1.28) | 3.73 | |
| VTIAX | Vanguard Total International | (0.16) | 4 per month | 0.52 | 0.14 | 1.47 | (1.18) | 4.10 | |
| VFINX | Vanguard 500 Index | (0.16) | 12 per month | 0.73 | (0.04) | 1.06 | (1.22) | 3.61 | |
| VFFSX | Vanguard 500 Index | 0.00 | 0 per month | 0.80 | (0.07) | 0.99 | (1.54) | 3.61 | |
| VBTLX | Vanguard Total Bond | 0.00 | 0 per month | 0.08 | (0.24) | 0.31 | (0.31) | 0.62 |
Other Forecasting Options for College Retirement
For every potential investor in College, whether a beginner or expert, College Retirement's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. College Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in College. Basic forecasting techniques help filter out the noise by identifying College Retirement's price trends.College Retirement 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 College Retirement fund to make a market-neutral strategy. Peer analysis of College Retirement could also be used in its relative valuation, which is a method of valuing College Retirement by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
College Retirement Market Strength Events
Market strength indicators help investors to evaluate how College Retirement fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading College Retirement shares will generate the highest return on investment. By undertsting and applying College Retirement fund market strength indicators, traders can identify College Retirement Equities entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 428.34 | |||
| Day Typical Price | 428.34 | |||
| Price Action Indicator | (0.62) | |||
| Period Momentum Indicator | (1.24) | |||
| Relative Strength Index | 57.08 |
College Retirement Risk Indicators
The analysis of College Retirement'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 College Retirement's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting college 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 | 0.5627 | |||
| Semi Deviation | 0.6509 | |||
| Standard Deviation | 0.7411 | |||
| Variance | 0.5493 | |||
| Downside Variance | 0.5827 | |||
| Semi Variance | 0.4236 | |||
| Expected Short fall | (0.61) |
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 College Retirement
The number of cover stories for College Retirement depends on current market conditions and College Retirement's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that College Retirement 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 College Retirement's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Other Information on Investing in College Fund
College Retirement financial ratios help investors to determine whether College 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 College with respect to the benefits of owning College Retirement security.
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| Fundamental Analysis View fundamental data based on most recent published financial statements |