Riskproreg Pfg Mutual Fund Forecast - Polynomial Regression

PFSMX Fund  USD 9.35  0.06  0.64%   
The Polynomial Regression forecasted value of Riskproreg Pfg 30 on the next trading day is expected to be 9.60 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.55. Riskproreg Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Riskproreg Pfg's share price is below 20 indicating 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 Riskproreg Pfg's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Riskproreg Pfg 30, which may create opportunities for some arbitrage if properly timed.
Using Riskproreg Pfg hype-based prediction, you can estimate the value of Riskproreg Pfg 30 from the perspective of Riskproreg Pfg response to recently generated media hype and the effects of current headlines on its competitors.
The Polynomial Regression forecasted value of Riskproreg Pfg 30 on the next trading day is expected to be 9.60 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.55.

Riskproreg Pfg after-hype prediction price

    
  USD 9.35  
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.
  
Check out Historical Fundamental Analysis of Riskproreg Pfg to cross-verify your projections.

Riskproreg Pfg Additional Predictive Modules

Most predictive techniques to examine Riskproreg price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Riskproreg using various technical indicators. When you analyze Riskproreg 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.
Riskproreg Pfg polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Riskproreg Pfg 30 as well as the accuracy indicators are determined from the period prices.

Riskproreg Pfg Polynomial Regression Price Forecast For the 5th of January

Given 90 days horizon, the Polynomial Regression forecasted value of Riskproreg Pfg 30 on the next trading day is expected to be 9.60 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.04, and the sum of the absolute errors of 8.55.
Please note that although there have been many attempts to predict Riskproreg 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 Riskproreg Pfg's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Riskproreg Pfg Mutual Fund Forecast Pattern

Backtest Riskproreg PfgRiskproreg Pfg Price PredictionBuy or Sell Advice 

Riskproreg Pfg Forecasted Value

In the context of forecasting Riskproreg Pfg'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. Riskproreg Pfg's downside and upside margins for the forecasting period are 8.31 and 10.88, respectively. We have considered Riskproreg Pfg'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
9.35
9.60
Expected Value
10.88
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Riskproreg Pfg mutual fund data series using in forecasting. Note that when a statistical model is used to represent Riskproreg Pfg 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 Criteria114.7967
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1401
MAPEMean absolute percentage error0.014
SAESum of the absolute errors8.5465
A single variable polynomial regression model attempts to put a curve through the Riskproreg Pfg historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Riskproreg Pfg

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Riskproreg Pfg 30. 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
8.069.3510.64
Details
Intrinsic
Valuation
LowRealHigh
8.189.4710.76
Details
Bollinger
Band Projection (param)
LowMiddleHigh
9.4710.0710.67
Details

Other Forecasting Options for Riskproreg Pfg

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

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

Riskproreg Pfg 30 Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Riskproreg Pfg's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Riskproreg Pfg's current price.

Riskproreg Pfg Market Strength Events

Market strength indicators help investors to evaluate how Riskproreg Pfg 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 Riskproreg Pfg shares will generate the highest return on investment. By undertsting and applying Riskproreg Pfg mutual fund market strength indicators, traders can identify Riskproreg Pfg 30 entry and exit signals to maximize returns.

Riskproreg Pfg Risk Indicators

The analysis of Riskproreg Pfg'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 Riskproreg Pfg's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting riskproreg 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.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Riskproreg Mutual Fund

Riskproreg Pfg financial ratios help investors to determine whether Riskproreg 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 Riskproreg with respect to the benefits of owning Riskproreg Pfg security.
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