IQ MacKay Etf Forecast - Simple Regression
| IQHI Etf | USD 26.91 0.09 0.34% |
The Simple Regression forecasted value of IQ MacKay ESG on the next trading day is expected to be 26.79 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.84. IQHI Etf Forecast is based on your current time horizon. We recommend always using this module together with an analysis of IQ MacKay's historical fundamentals, such as revenue growth or operating cash flow patterns.
IQHI |
IQ MacKay Simple Regression Price Forecast For the 28th of November
Given 90 days horizon, the Simple Regression forecasted value of IQ MacKay ESG on the next trading day is expected to be 26.79 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.84.Please note that although there have been many attempts to predict IQHI 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 IQ MacKay's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
IQ MacKay Etf Forecast Pattern
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IQ MacKay Forecasted Value
In the context of forecasting IQ MacKay'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. IQ MacKay's downside and upside margins for the forecasting period are 26.62 and 26.95, respectively. We have considered IQ MacKay'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 IQ MacKay etf data series using in forecasting. Note that when a statistical model is used to represent IQ MacKay 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 | 113.355 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0794 |
| MAPE | Mean absolute percentage error | 0.003 |
| SAE | Sum of the absolute errors | 4.8412 |
Predictive Modules for IQ MacKay
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IQ MacKay 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 IQ MacKay
For every potential investor in IQHI, whether a beginner or expert, IQ MacKay's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. IQHI Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in IQHI. Basic forecasting techniques help filter out the noise by identifying IQ MacKay's price trends.IQ MacKay 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 IQ MacKay etf to make a market-neutral strategy. Peer analysis of IQ MacKay could also be used in its relative valuation, which is a method of valuing IQ MacKay by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
IQ MacKay 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 IQ MacKay'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 IQ MacKay's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
IQ MacKay Market Strength Events
Market strength indicators help investors to evaluate how IQ MacKay etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading IQ MacKay shares will generate the highest return on investment. By undertsting and applying IQ MacKay etf market strength indicators, traders can identify IQ MacKay ESG entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 26.91 | |||
| Day Typical Price | 26.91 | |||
| Price Action Indicator | 0.045 | |||
| Period Momentum Indicator | 0.09 | |||
| Relative Strength Index | 57.4 |
IQ MacKay Risk Indicators
The analysis of IQ MacKay'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 IQ MacKay's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting iqhi 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 | 0.1331 | |||
| Standard Deviation | 0.1761 | |||
| Variance | 0.031 | |||
| Downside Variance | 0.0232 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.17) |
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.
Currently Active Assets on Macroaxis
When determining whether IQ MacKay ESG offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IQ MacKay'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 Iq Mackay Esg Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Iq Mackay Esg Etf:Check out Historical Fundamental Analysis of IQ MacKay 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 IQ MacKay ESG is measured differently than its book value, which is the value of IQHI that is recorded on the company's balance sheet. Investors also form their own opinion of IQ MacKay's value that differs from its market value or its book value, called intrinsic value, which is IQ MacKay'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 IQ MacKay's market value can be influenced by many factors that don't directly affect IQ MacKay'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 IQ MacKay's value and its price as these two are different measures arrived at by different means. Investors typically determine if IQ MacKay is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IQ MacKay'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.