Van Eck Etf Forecast - Polynomial Regression

EFUT Etf   19.63  0.00  0.00%   
The Polynomial Regression forecasted value of Van Eck on the next trading day is expected to be 20.17 with a mean absolute deviation of 0.91 and the sum of the absolute errors of 55.37. Van Etf Forecast is based on your current time horizon.
  
Van Eck polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Van Eck as well as the accuracy indicators are determined from the period prices.

Van Eck Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Van Eck on the next trading day is expected to be 20.17 with a mean absolute deviation of 0.91, mean absolute percentage error of 1.42, and the sum of the absolute errors of 55.37.
Please note that although there have been many attempts to predict Van Etf 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 Van Eck's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Van Eck Etf Forecast Pattern

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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 Van Eck etf data series using in forecasting. Note that when a statistical model is used to represent Van Eck etf, 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 Criteria118.4593
BiasArithmetic mean of the errors None
MADMean absolute deviation0.9076
MAPEMean absolute percentage error0.0388
SAESum of the absolute errors55.3666
A single variable polynomial regression model attempts to put a curve through the Van Eck 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 Van Eck

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Van Eck. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Van Eck's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
17.5119.7521.99
Details
Intrinsic
Valuation
LowRealHigh
16.6218.8621.10
Details

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

Van Eck Market Strength Events

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

Van Eck Risk Indicators

The analysis of Van Eck'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 Van Eck's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting van etf 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.

Thematic Opportunities

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Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Van Eck offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Van Eck's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Van Eck Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Van Eck Etf:
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in employment.
You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
The market value of Van Eck is measured differently than its book value, which is the value of Van that is recorded on the company's balance sheet. Investors also form their own opinion of Van Eck's value that differs from its market value or its book value, called intrinsic value, which is Van Eck's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Van Eck's market value can be influenced by many factors that don't directly affect Van Eck's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Van Eck's value and its price as these two are different measures arrived at by different means. Investors typically determine if Van Eck is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Van Eck's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.