Innovator Etfs Trust Etf Market Value

IMAR Etf   25.63  0.22  0.87%   
Innovator ETFs' market value is the price at which a share of Innovator ETFs trades on a public exchange. It measures the collective expectations of Innovator ETFs Trust investors about its performance. Innovator ETFs is selling at 25.63 as of the 1st of December 2024; that is 0.87 percent up since the beginning of the trading day. The etf's lowest day price was 25.63.
With this module, you can estimate the performance of a buy and hold strategy of Innovator ETFs Trust and determine expected loss or profit from investing in Innovator ETFs over a given investment horizon. Check out Innovator ETFs Correlation, Innovator ETFs Volatility and Innovator ETFs Alpha and Beta module to complement your research on Innovator ETFs.
Symbol

The market value of Innovator ETFs Trust is measured differently than its book value, which is the value of Innovator that is recorded on the company's balance sheet. Investors also form their own opinion of Innovator ETFs' value that differs from its market value or its book value, called intrinsic value, which is Innovator ETFs' 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 Innovator ETFs' market value can be influenced by many factors that don't directly affect Innovator ETFs' 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 Innovator ETFs' value and its price as these two are different measures arrived at by different means. Investors typically determine if Innovator ETFs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Innovator ETFs' 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.

Innovator ETFs 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Innovator ETFs' etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Innovator ETFs.
0.00
11/01/2024
No Change 0.00  0.0 
In 30 days
12/01/2024
0.00
If you would invest  0.00  in Innovator ETFs on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Innovator ETFs Trust or generate 0.0% return on investment in Innovator ETFs over 30 days. Innovator ETFs is related to or competes with Innovator ETFs, First Trust, Innovator, and Innovator Equity. Innovator ETFs is entity of United States More

Innovator ETFs Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Innovator ETFs' etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Innovator ETFs Trust upside and downside potential and time the market with a certain degree of confidence.

Innovator ETFs Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Innovator ETFs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Innovator ETFs' standard deviation. In reality, there are many statistical measures that can use Innovator ETFs historical prices to predict the future Innovator ETFs' volatility.
Hype
Prediction
LowEstimatedHigh
25.0325.6326.23
Details
Intrinsic
Valuation
LowRealHigh
25.1825.7826.38
Details
Naive
Forecast
LowNextHigh
25.0925.6926.29
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
25.1925.4225.65
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Innovator ETFs. Your research has to be compared to or analyzed against Innovator ETFs' peers to derive any actionable benefits. When done correctly, Innovator ETFs' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Innovator ETFs Trust.

Innovator ETFs Trust Backtested Returns

Innovator ETFs Trust holds Efficiency (Sharpe) Ratio of -0.0862, which attests that the entity had a -0.0862% return per unit of risk over the last 3 months. Innovator ETFs Trust exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Innovator ETFs' Risk Adjusted Performance of (0.08), standard deviation of 0.6136, and Market Risk Adjusted Performance of (0.21) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.33, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Innovator ETFs' returns are expected to increase less than the market. However, during the bear market, the loss of holding Innovator ETFs is expected to be smaller as well.

Auto-correlation

    
  -0.83  

Excellent reverse predictability

Innovator ETFs Trust has excellent reverse predictability. Overlapping area represents the amount of predictability between Innovator ETFs time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Innovator ETFs Trust price movement. The serial correlation of -0.83 indicates that around 83.0% of current Innovator ETFs price fluctuation can be explain by its past prices.
Correlation Coefficient-0.83
Spearman Rank Test-0.5
Residual Average0.0
Price Variance0.01

Innovator ETFs Trust lagged returns against current returns

Autocorrelation, which is Innovator ETFs etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Innovator ETFs' etf expected returns. We can calculate the autocorrelation of Innovator ETFs returns to help us make a trade decision. For example, suppose you find that Innovator ETFs has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Innovator ETFs regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Innovator ETFs etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Innovator ETFs etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Innovator ETFs etf over time.
   Current vs Lagged Prices   
       Timeline  

Innovator ETFs Lagged Returns

When evaluating Innovator ETFs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Innovator ETFs etf have on its future price. Innovator ETFs autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Innovator ETFs autocorrelation shows the relationship between Innovator ETFs etf current value and its past values and can show if there is a momentum factor associated with investing in Innovator ETFs Trust.
   Regressed Prices   
       Timeline  

Pair Trading with Innovator ETFs

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Innovator ETFs position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Innovator ETFs will appreciate offsetting losses from the drop in the long position's value.

Moving together with Innovator Etf

  0.71INOV Innovator ETFs TrustPairCorr

Moving against Innovator Etf

  0.87BAC Bank of America Aggressive PushPairCorr
  0.86MEME Roundhill InvestmentsPairCorr
  0.85RSPY Tuttle Capital ManagementPairCorr
  0.79DSJA DSJAPairCorr
  0.71DNOV FT Cboe VestPairCorr
The ability to find closely correlated positions to Innovator ETFs could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Innovator ETFs when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Innovator ETFs - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Innovator ETFs Trust to buy it.
The correlation of Innovator ETFs is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Innovator ETFs moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Innovator ETFs Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Innovator ETFs can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Innovator ETFs Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Innovator ETFs' 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 Innovator Etfs Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Innovator Etfs Trust Etf:
Check out Innovator ETFs Correlation, Innovator ETFs Volatility and Innovator ETFs Alpha and Beta module to complement your research on Innovator ETFs.
You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Innovator ETFs technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
A focus of Innovator ETFs technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Innovator ETFs trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...