Vanguard Funds Pink Sheet Forecast - Polynomial Regression

VNGGF Etf  USD 74.52  0.00  0.00%   
The Polynomial Regression forecasted value of Vanguard Funds Public on the next trading day is expected to be 74.01 with a mean absolute deviation of 1.21 and the sum of the absolute errors of 61.87. Vanguard Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Vanguard Funds' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Vanguard Funds polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Vanguard Funds Public as well as the accuracy indicators are determined from the period prices.

Vanguard Funds Polynomial Regression Price Forecast For the 28th of July

Given 90 days horizon, the Polynomial Regression forecasted value of Vanguard Funds Public on the next trading day is expected to be 74.01 with a mean absolute deviation of 1.21, mean absolute percentage error of 3.45, and the sum of the absolute errors of 61.87.
Please note that although there have been many attempts to predict Vanguard Pink Sheet 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 Vanguard Funds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Vanguard Funds Pink Sheet Forecast Pattern

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 Vanguard Funds pink sheet data series using in forecasting. Note that when a statistical model is used to represent Vanguard Funds pink sheet, 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 Criteria100.9712
BiasArithmetic mean of the errors None
MADMean absolute deviation1.2131
MAPEMean absolute percentage error0.0185
SAESum of the absolute errors61.869
A single variable polynomial regression model attempts to put a curve through the Vanguard Funds 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 Vanguard Funds

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Vanguard Funds Public. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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
74.5274.5274.52
Details
Intrinsic
Valuation
LowRealHigh
73.7773.7781.97
Details
Bollinger
Band Projection (param)
LowMiddleHigh
64.1971.5378.88
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Vanguard Funds. Your research has to be compared to or analyzed against Vanguard Funds' peers to derive any actionable benefits. When done correctly, Vanguard Funds' 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 Vanguard Funds Public.

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

Vanguard Funds Market Strength Events

Market strength indicators help investors to evaluate how Vanguard Funds pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Vanguard Funds shares will generate the highest return on investment. By undertsting and applying Vanguard Funds pink sheet market strength indicators, traders can identify Vanguard Funds Public entry and exit signals to maximize returns.

Currently Active Assets on Macroaxis

Other Information on Investing in Vanguard Pink Sheet

Vanguard Funds financial ratios help investors to determine whether Vanguard Pink Sheet 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 Vanguard with respect to the benefits of owning Vanguard Funds security.