Innovator Equity Defined Etf Market Value
| ZOCT Etf | 25.36 0.03 0.12% |
| Symbol | Innovator |
The market value of Innovator Equity Defined 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 Equity's value that differs from its market value or its book value, called intrinsic value, which is Innovator 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 Innovator Equity's market value can be influenced by many factors that don't directly affect Innovator 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 Innovator Equity's value and its price as these two are different measures arrived at by different means. Investors typically determine if Innovator Equity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Innovator 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.
Innovator Equity '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 Equity's 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 Equity.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in Innovator Equity on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding Innovator Equity Defined or generate 0.0% return on investment in Innovator Equity over 30 days. Innovator Equity is related to or competes with Innovator ETFs, First Trust, FT Cboe, Innovator, Innovator, Innovator, and Innovator Equity. Innovator Equity is entity of United States More
Innovator Equity 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 Equity's 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 Equity Defined upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.152 | |||
| Information Ratio | (0.74) | |||
| Maximum Drawdown | 0.6764 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.2389 |
Innovator Equity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Innovator Equity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Innovator Equity's standard deviation. In reality, there are many statistical measures that can use Innovator Equity historical prices to predict the future Innovator Equity's volatility.| Risk Adjusted Performance | 0.0563 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.69) | |||
| Treynor Ratio | 0.1016 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Innovator Equity's 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.
Innovator Equity Defined Backtested Returns
Currently, Innovator Equity Defined is very steady. Innovator Equity Defined holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Innovator Equity Defined, which you can use to evaluate the volatility of the entity. Please check out Innovator Equity's Risk Adjusted Performance of 0.0563, coefficient of variation of 744.59, and Market Risk Adjusted Performance of 0.1116 to validate if the risk estimate we provide is consistent with the expected return of 0.0188%. The etf retains a Market Volatility (i.e., Beta) of 0.09, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Innovator Equity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Innovator Equity is expected to be smaller as well.
Auto-correlation | -0.05 |
Very weak reverse predictability
Innovator Equity Defined has very weak reverse predictability. Overlapping area represents the amount of predictability between Innovator Equity time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 Equity Defined price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current Innovator Equity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Innovator Equity Defined lagged returns against current returns
Autocorrelation, which is Innovator Equity 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 Equity's etf expected returns. We can calculate the autocorrelation of Innovator Equity returns to help us make a trade decision. For example, suppose you find that Innovator Equity 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 Equity 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 Equity etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Innovator Equity etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Innovator Equity etf over time.
Current vs Lagged Prices |
| Timeline |
Innovator Equity Lagged Returns
When evaluating Innovator Equity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Innovator Equity etf have on its future price. Innovator Equity 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 Equity autocorrelation shows the relationship between Innovator Equity etf current value and its past values and can show if there is a momentum factor associated with investing in Innovator Equity Defined.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Innovator Equity Correlation, Innovator Equity Volatility and Innovator Equity Alpha and Beta module to complement your research on Innovator Equity. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Innovator Equity 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.