Virtus ETF Etf Forecast - Simple Exponential Smoothing
| VEMY Etf | 27.46 0.01 0.04% |
The Simple Exponential Smoothing forecasted value of Virtus ETF Trust on the next trading day is expected to be 27.46 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.12. Virtus Etf Forecast is based on your current time horizon.
Virtus |
Virtus ETF Simple Exponential Smoothing Price Forecast For the 25th of November
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Virtus ETF Trust on the next trading day is expected to be 27.46 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.12.Please note that although there have been many attempts to predict Virtus 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 Virtus ETF's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Virtus ETF Etf Forecast Pattern
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Virtus ETF Forecasted Value
In the context of forecasting Virtus ETF's Etf 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. Virtus ETF's downside and upside margins for the forecasting period are 27.13 and 27.79, respectively. We have considered Virtus ETF'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Virtus ETF etf data series using in forecasting. Note that when a statistical model is used to represent Virtus ETF 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.| AIC | Akaike Information Criteria | 111.4642 |
| Bias | Arithmetic mean of the errors | -0.0152 |
| MAD | Mean absolute deviation | 0.0687 |
| MAPE | Mean absolute percentage error | 0.0025 |
| SAE | Sum of the absolute errors | 4.1222 |
Predictive Modules for Virtus ETF
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Virtus ETF Trust. 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.Other Forecasting Options for Virtus ETF
For every potential investor in Virtus, whether a beginner or expert, Virtus ETF's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Virtus Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Virtus. Basic forecasting techniques help filter out the noise by identifying Virtus ETF's price trends.Virtus ETF 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 Virtus ETF etf to make a market-neutral strategy. Peer analysis of Virtus ETF could also be used in its relative valuation, which is a method of valuing Virtus ETF by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Virtus ETF Trust Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Virtus ETF'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 Virtus ETF's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Virtus ETF Market Strength Events
Market strength indicators help investors to evaluate how Virtus ETF etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Virtus ETF shares will generate the highest return on investment. By undertsting and applying Virtus ETF etf market strength indicators, traders can identify Virtus ETF Trust entry and exit signals to maximize returns.
Virtus ETF Risk Indicators
The analysis of Virtus ETF'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 Virtus ETF's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting virtus 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.
| Mean Deviation | 0.2562 | |||
| Semi Deviation | 0.1667 | |||
| Standard Deviation | 0.3471 | |||
| Variance | 0.1205 | |||
| Downside Variance | 0.1139 | |||
| Semi Variance | 0.0278 | |||
| Expected Short fall | (0.29) |
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.When determining whether Virtus ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Virtus ETF'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 Virtus Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Virtus Etf Trust Etf:Check out Historical Fundamental Analysis of Virtus ETF to cross-verify your projections. For more information on how to buy Virtus Etf please use our How to Invest in Virtus ETF guide.You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
The market value of Virtus ETF Trust is measured differently than its book value, which is the value of Virtus that is recorded on the company's balance sheet. Investors also form their own opinion of Virtus ETF's value that differs from its market value or its book value, called intrinsic value, which is Virtus ETF'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 Virtus ETF's market value can be influenced by many factors that don't directly affect Virtus ETF'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 Virtus ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Virtus ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Virtus ETF'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.