AllianzIM Equity Etf Forecast - Simple Regression

SEPU Etf   26.35  0.08  0.30%   
The Simple Regression forecasted value of AllianzIM Equity Buffer15 on the next trading day is expected to be 26.45 with a mean absolute deviation of 0.15 and the sum of the absolute errors of 9.03. AllianzIM Etf Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through AllianzIM Equity price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

AllianzIM Equity Simple Regression Price Forecast For the 12th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of AllianzIM Equity Buffer15 on the next trading day is expected to be 26.45 with a mean absolute deviation of 0.15, mean absolute percentage error of 0.04, and the sum of the absolute errors of 9.03.
Please note that although there have been many attempts to predict AllianzIM 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 AllianzIM Equity's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

AllianzIM Equity Etf Forecast Pattern

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AllianzIM Equity Forecasted Value

In the context of forecasting AllianzIM Equity'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. AllianzIM Equity's downside and upside margins for the forecasting period are 25.95 and 26.96, respectively. We have considered AllianzIM Equity'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.
Market Value
26.35
26.45
Expected Value
26.96
Upside

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 AllianzIM Equity etf data series using in forecasting. Note that when a statistical model is used to represent AllianzIM Equity 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 Criteria116.6004
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1457
MAPEMean absolute percentage error0.0057
SAESum of the absolute errors9.0308
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as AllianzIM Equity Buffer15 historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for AllianzIM Equity

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AllianzIM Equity Buffer15. 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.
Hype
Prediction
LowEstimatedHigh
0.000.000.50
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.50
Details
Bollinger
Band Projection (param)
LowMiddleHigh
25.8126.2226.63
Details

Other Forecasting Options for AllianzIM Equity

For every potential investor in AllianzIM, whether a beginner or expert, AllianzIM Equity's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AllianzIM Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AllianzIM. Basic forecasting techniques help filter out the noise by identifying AllianzIM Equity's price trends.

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

AllianzIM Equity Buffer15 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 AllianzIM Equity'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 AllianzIM Equity's current price.

AllianzIM Equity Market Strength Events

Market strength indicators help investors to evaluate how AllianzIM Equity etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading AllianzIM Equity shares will generate the highest return on investment. By undertsting and applying AllianzIM Equity etf market strength indicators, traders can identify AllianzIM Equity Buffer15 entry and exit signals to maximize returns.

AllianzIM Equity Risk Indicators

The analysis of AllianzIM Equity'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 AllianzIM Equity's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting allianzim 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

Explore Investment Opportunities

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 AllianzIM Equity Buffer15 is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if AllianzIM Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Allianzim Equity Buffer15 Etf. Highlighted below are key reports to facilitate an investment decision about Allianzim Equity Buffer15 Etf:
Check out Historical Fundamental Analysis of AllianzIM Equity to cross-verify your projections.
You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
The market value of AllianzIM Equity Buffer15 is measured differently than its book value, which is the value of AllianzIM that is recorded on the company's balance sheet. Investors also form their own opinion of AllianzIM Equity's value that differs from its market value or its book value, called intrinsic value, which is AllianzIM Equity'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 AllianzIM Equity's market value can be influenced by many factors that don't directly affect AllianzIM Equity'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 AllianzIM Equity's value and its price as these two are different measures arrived at by different means. Investors typically determine if AllianzIM Equity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, AllianzIM Equity'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.