VictoryShares ESG Etf Forecast - Simple Regression
| UCRD Etf | USD 21.50 0.12 0.56% |
The Simple Regression forecasted value of VictoryShares ESG Corporate on the next trading day is expected to be 21.12 with a mean absolute deviation of 0.11 and the sum of the absolute errors of 6.44. VictoryShares Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast VictoryShares ESG stock prices and determine the direction of VictoryShares ESG Corporate's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of VictoryShares ESG's historical fundamentals, such as revenue growth or operating cash flow patterns.
VictoryShares |
VictoryShares ESG Simple Regression Price Forecast For the 1st of December
Given 90 days horizon, the Simple Regression forecasted value of VictoryShares ESG Corporate on the next trading day is expected to be 21.12 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.44.Please note that although there have been many attempts to predict VictoryShares 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 VictoryShares ESG's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
VictoryShares ESG Etf Forecast Pattern
| Backtest VictoryShares ESG | VictoryShares ESG Price Prediction | Buy or Sell Advice |
VictoryShares ESG Forecasted Value
In the context of forecasting VictoryShares ESG'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. VictoryShares ESG's downside and upside margins for the forecasting period are 20.82 and 21.43, respectively. We have considered VictoryShares ESG'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 Regression forecasting method's relative quality and the estimations of the prediction error of VictoryShares ESG etf data series using in forecasting. Note that when a statistical model is used to represent VictoryShares ESG 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 | 113.9846 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1055 |
| MAPE | Mean absolute percentage error | 0.0049 |
| SAE | Sum of the absolute errors | 6.4372 |
Predictive Modules for VictoryShares ESG
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VictoryShares ESG. 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 VictoryShares ESG
For every potential investor in VictoryShares, whether a beginner or expert, VictoryShares ESG's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. VictoryShares Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in VictoryShares. Basic forecasting techniques help filter out the noise by identifying VictoryShares ESG's price trends.VictoryShares ESG 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 VictoryShares ESG etf to make a market-neutral strategy. Peer analysis of VictoryShares ESG could also be used in its relative valuation, which is a method of valuing VictoryShares ESG by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
VictoryShares ESG 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 VictoryShares ESG'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 VictoryShares ESG's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
VictoryShares ESG Market Strength Events
Market strength indicators help investors to evaluate how VictoryShares ESG etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading VictoryShares ESG shares will generate the highest return on investment. By undertsting and applying VictoryShares ESG etf market strength indicators, traders can identify VictoryShares ESG Corporate entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 21.5 | |||
| Day Typical Price | 21.5 | |||
| Price Action Indicator | 0.06 | |||
| Period Momentum Indicator | 0.12 | |||
| Relative Strength Index | 49.82 |
VictoryShares ESG Risk Indicators
The analysis of VictoryShares ESG'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 VictoryShares ESG's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting victoryshares 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 | 0.2375 | |||
| Semi Deviation | 0.279 | |||
| Standard Deviation | 0.3055 | |||
| Variance | 0.0933 | |||
| Downside Variance | 0.0922 | |||
| Semi Variance | 0.0779 | |||
| Expected Short fall | (0.28) |
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 VictoryShares ESG is a strong investment it is important to analyze VictoryShares ESG's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact VictoryShares ESG's future performance. For an informed investment choice regarding VictoryShares Etf, refer to the following important reports:Check out Historical Fundamental Analysis of VictoryShares ESG to cross-verify your projections. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
The market value of VictoryShares ESG is measured differently than its book value, which is the value of VictoryShares that is recorded on the company's balance sheet. Investors also form their own opinion of VictoryShares ESG's value that differs from its market value or its book value, called intrinsic value, which is VictoryShares ESG'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 VictoryShares ESG's market value can be influenced by many factors that don't directly affect VictoryShares ESG'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 VictoryShares ESG's value and its price as these two are different measures arrived at by different means. Investors typically determine if VictoryShares ESG is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VictoryShares ESG'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.