Asset Allocation Mutual Fund Forecast - Naive Prediction

VCAAX Fund  USD 12.88  0.01  0.08%   
The Naive Prediction forecasted value of Asset Allocation Fund on the next trading day is expected to be 12.81 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.47. Asset Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Asset Allocation's share price is below 20 . This entails 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
The successful prediction of Asset Allocation's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Asset Allocation Fund, which may create opportunities for some arbitrage if properly timed.
Using Asset Allocation hype-based prediction, you can estimate the value of Asset Allocation Fund from the perspective of Asset Allocation response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Asset Allocation Fund on the next trading day is expected to be 12.81 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.47.

Asset Allocation after-hype prediction price

    
  USD 14.57  
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.
  
Check out Historical Fundamental Analysis of Asset Allocation to cross-verify your projections.

Asset Allocation Additional Predictive Modules

Most predictive techniques to examine Asset price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Asset using various technical indicators. When you analyze Asset 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.
A naive forecasting model for Asset Allocation is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Asset Allocation Fund value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Asset Allocation Naive Prediction Price Forecast For the 26th of January

Given 90 days horizon, the Naive Prediction forecasted value of Asset Allocation Fund on the next trading day is expected to be 12.81 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.47.
Please note that although there have been many attempts to predict Asset Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Asset Allocation's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Asset Allocation Mutual Fund Forecast Pattern

Backtest Asset AllocationAsset Allocation Price PredictionBuy or Sell Advice 

Asset Allocation Forecasted Value

In the context of forecasting Asset Allocation'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. Asset Allocation's downside and upside margins for the forecasting period are 12.35 and 13.27, respectively. We have considered Asset Allocation'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.
Market Value
12.88
12.81
Expected Value
13.27
Upside

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 Asset Allocation mutual fund data series using in forecasting. Note that when a statistical model is used to represent Asset Allocation 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.
AICAkaike Information Criteria112.906
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0568
MAPEMean absolute percentage error0.0044
SAESum of the absolute errors3.4669
This model is not at all useful as a medium-long range forecasting tool of Asset Allocation Fund. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Asset Allocation. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Asset Allocation

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Asset Allocation. 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.
Hype
Prediction
LowEstimatedHigh
11.5914.5715.03
Details
Intrinsic
Valuation
LowRealHigh
12.6113.0713.53
Details
Bollinger
Band Projection (param)
LowMiddleHigh
12.7612.8913.02
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Asset Allocation. Your research has to be compared to or analyzed against Asset Allocation's peers to derive any actionable benefits. When done correctly, Asset Allocation's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Asset Allocation.

Asset Allocation After-Hype Price Prediction Density Analysis

As far as predicting the price of Asset Allocation 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 Asset Allocation 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 Asset Allocation, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Asset Allocation Estimiated After-Hype Price Volatility

In the context of predicting Asset Allocation's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Asset Allocation's historical news coverage. Asset Allocation's after-hype downside and upside margins for the prediction period are 11.59 and 15.03, respectively. We have considered Asset Allocation'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
12.88
14.57
After-hype Price
15.03
Upside
Asset Allocation is very steady at this time. Analysis and calculation of next after-hype price of Asset Allocation is based on 3 months time horizon.

Asset Allocation Mutual Fund Price Prediction Analysis

Have you ever been surprised when a price of a Mutual Fund such as Asset Allocation is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Asset Allocation 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 Asset Allocation, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.01 
0.46
  0.01 
  0.04 
3 Events / Month
1 Events / Month
In about 3 days
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
12.88
14.57
13.12 
42.99  
Notes

Asset Allocation Hype Timeline

Asset Allocation is at this time traded for 12.88. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.04. Asset is forecasted to increase in value after the next headline, with the price projected to jump to 14.57 or above. The average volatility of media hype impact on the company the price is about 42.99%. The price jump on the next news is projected to be 13.12%, whereas the daily expected return is at this time at -0.01%. The volatility of related hype on Asset Allocation is about 12.97%, with the expected price after the next announcement by competition of 12.84. Debt can assist Asset Allocation until it has trouble settling it off, either with new capital or with free cash flow. So, Asset Allocation's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Asset Allocation sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Asset to invest in growth at high rates of return. When we think about Asset Allocation's use of debt, we should always consider it together with cash and equity.Assuming the 90 days horizon the next forecasted press release will be in about 3 days.
Check out Historical Fundamental Analysis of Asset Allocation to cross-verify your projections.

Asset Allocation Related Hype Analysis

Having access to credible news sources related to Asset Allocation's direct competition is more important than ever and may enhance your ability to predict Asset Allocation's future price movements. Getting to know how Asset Allocation'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 Asset Allocation may potentially react to the hype associated with one of its peers.

Other Forecasting Options for Asset Allocation

For every potential investor in Asset, whether a beginner or expert, Asset Allocation's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Asset Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Asset. Basic forecasting techniques help filter out the noise by identifying Asset Allocation's price trends.

Asset Allocation 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 Asset Allocation mutual fund to make a market-neutral strategy. Peer analysis of Asset Allocation could also be used in its relative valuation, which is a method of valuing Asset Allocation by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Asset Allocation Market Strength Events

Market strength indicators help investors to evaluate how Asset Allocation 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 Asset Allocation shares will generate the highest return on investment. By undertsting and applying Asset Allocation mutual fund market strength indicators, traders can identify Asset Allocation Fund entry and exit signals to maximize returns.

Asset Allocation Risk Indicators

The analysis of Asset Allocation'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 Asset Allocation's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting asset 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.
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 Asset Allocation

The number of cover stories for Asset Allocation depends on current market conditions and Asset Allocation's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Asset Allocation 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 Asset Allocation'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

Other Information on Investing in Asset Mutual Fund

Asset Allocation financial ratios help investors to determine whether Asset 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 Asset with respect to the benefits of owning Asset Allocation security.
CEOs Directory
Screen CEOs from public companies around the world
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Portfolio Analyzer
Portfolio analysis module that provides access to portfolio diagnostics and optimization engine
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios