Innovator Premium Income Etf Market Value
HOCT Etf | 23.94 0.06 0.25% |
Symbol | Innovator |
The market value of Innovator Premium Income 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 Premium's value that differs from its market value or its book value, called intrinsic value, which is Innovator Premium'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 Premium's market value can be influenced by many factors that don't directly affect Innovator Premium'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 Premium's value and its price as these two are different measures arrived at by different means. Investors typically determine if Innovator Premium is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Innovator Premium'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 Premium '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 Premium'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 Premium.
06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Innovator Premium on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Innovator Premium Income or generate 0.0% return on investment in Innovator Premium over 180 days. Innovator Premium is related to or competes with Innovator ETFs, First Trust, Innovator, and Innovator Equity. Innovator Premium is entity of United States More
Innovator Premium 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 Premium'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 Premium Income upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.1873 | |||
Information Ratio | (0.82) | |||
Maximum Drawdown | 0.7978 | |||
Value At Risk | (0.25) | |||
Potential Upside | 0.2114 |
Innovator Premium Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Innovator Premium's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Innovator Premium's standard deviation. In reality, there are many statistical measures that can use Innovator Premium historical prices to predict the future Innovator Premium's volatility.Risk Adjusted Performance | 0.0851 | |||
Jensen Alpha | (0.0007) | |||
Total Risk Alpha | (0.01) | |||
Sortino Ratio | (0.61) | |||
Treynor Ratio | 0.1212 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Innovator Premium'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 Premium Income Backtested Returns
Currently, Innovator Premium Income is very steady. Innovator Premium Income holds Efficiency (Sharpe) Ratio of 0.16, which attests that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Innovator Premium Income, which you can use to evaluate the volatility of the entity. Please check out Innovator Premium's Market Risk Adjusted Performance of 0.1312, risk adjusted performance of 0.0851, and Coefficient Of Variation of 588.07 to validate if the risk estimate we provide is consistent with the expected return of 0.0231%. The etf retains a Market Volatility (i.e., Beta) of 0.11, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Innovator Premium's returns are expected to increase less than the market. However, during the bear market, the loss of holding Innovator Premium is expected to be smaller as well.
Auto-correlation | 0.89 |
Very good predictability
Innovator Premium Income has very good predictability. Overlapping area represents the amount of predictability between Innovator Premium time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th of November 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 Premium Income price movement. The serial correlation of 0.89 indicates that approximately 89.0% of current Innovator Premium price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.89 | |
Spearman Rank Test | 0.89 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
Innovator Premium Income lagged returns against current returns
Autocorrelation, which is Innovator Premium 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 Premium's etf expected returns. We can calculate the autocorrelation of Innovator Premium returns to help us make a trade decision. For example, suppose you find that Innovator Premium 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 Premium 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 Premium etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Innovator Premium etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Innovator Premium etf over time.
Current vs Lagged Prices |
Timeline |
Innovator Premium Lagged Returns
When evaluating Innovator Premium's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Innovator Premium etf have on its future price. Innovator Premium 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 Premium autocorrelation shows the relationship between Innovator Premium etf current value and its past values and can show if there is a momentum factor associated with investing in Innovator Premium Income.
Regressed Prices |
Timeline |
Thematic Opportunities
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Check out Innovator Premium Correlation, Innovator Premium Volatility and Innovator Premium Alpha and Beta module to complement your research on Innovator Premium. 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.
Innovator Premium 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.