IShares IBonds Etf Forecast - Simple Regression

IBDS Etf  USD 24.05  0.03  0.12%   
The Simple Regression forecasted value of iShares iBonds Dec on the next trading day is expected to be 23.97 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.23. IShares 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 IShares IBonds 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.

IShares IBonds Simple Regression Price Forecast For the 15th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of iShares iBonds Dec on the next trading day is expected to be 23.97 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.23.
Please note that although there have been many attempts to predict IShares 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 IShares IBonds' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IShares IBonds Etf Forecast Pattern

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IShares IBonds Forecasted Value

In the context of forecasting IShares IBonds' 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. IShares IBonds' downside and upside margins for the forecasting period are 23.84 and 24.10, respectively. We have considered IShares IBonds' 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
24.05
23.97
Expected Value
24.10
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 IShares IBonds etf data series using in forecasting. Note that when a statistical model is used to represent IShares IBonds 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 Criteria114.7915
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0683
MAPEMean absolute percentage error0.0028
SAESum of the absolute errors4.2322
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 iShares iBonds Dec 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 IShares IBonds

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as iShares iBonds Dec. 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 IShares IBonds' 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
23.9224.0524.18
Details
Intrinsic
Valuation
LowRealHigh
23.7923.9224.05
Details

Other Forecasting Options for IShares IBonds

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

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

iShares iBonds Dec 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 IShares IBonds' 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 IShares IBonds' current price.

IShares IBonds Market Strength Events

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

IShares IBonds Risk Indicators

The analysis of IShares IBonds' 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 IShares IBonds' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ishares 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 iShares iBonds Dec 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 IShares 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 Ishares Ibonds Dec Etf. Highlighted below are key reports to facilitate an investment decision about Ishares Ibonds Dec Etf:
Check out Historical Fundamental Analysis of IShares IBonds to cross-verify your projections.
You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
The market value of iShares iBonds Dec is measured differently than its book value, which is the value of IShares that is recorded on the company's balance sheet. Investors also form their own opinion of IShares IBonds' value that differs from its market value or its book value, called intrinsic value, which is IShares IBonds' 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 IShares IBonds' market value can be influenced by many factors that don't directly affect IShares IBonds' 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 IShares IBonds' value and its price as these two are different measures arrived at by different means. Investors typically determine if IShares IBonds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IShares IBonds' 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.