Innovator Growth 100 Power Etf Market Value
| NOCT Etf | USD 51.14 0.14 0.27% |
| Symbol | Innovator |
The market value of Innovator Growth 100 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 Growth's value that differs from its market value or its book value, called intrinsic value, which is Innovator Growth'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 Growth's market value can be influenced by many factors that don't directly affect Innovator Growth'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 Growth's value and its price as these two are different measures arrived at by different means. Investors typically determine if Innovator Growth is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Innovator Growth'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 Growth '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 Growth'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 Growth.
| 05/30/2024 |
| 11/26/2024 |
If you would invest 0.00 in Innovator Growth on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding Innovator Growth 100 Power or generate 0.0% return on investment in Innovator Growth over 180 days. Innovator Growth is related to or competes with Innovator Nasdaq, Innovator Nasdaq, Innovator, Innovator, and Innovator Russell. The fund invests at least 80 percent of its net assets in FLexible EXchange Options that reference the Invesco QQQ Trust... More
Innovator Growth 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 Growth'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 Growth 100 Power upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5715 | |||
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 2.41 | |||
| Value At Risk | (0.85) | |||
| Potential Upside | 0.7476 |
Innovator Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Innovator Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Innovator Growth's standard deviation. In reality, there are many statistical measures that can use Innovator Growth historical prices to predict the future Innovator Growth's volatility.| Risk Adjusted Performance | 0.0738 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.15) | |||
| Treynor Ratio | 0.1053 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Innovator Growth'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 Growth 100 Backtested Returns
Currently, Innovator Growth 100 Power is very steady. Innovator Growth 100 holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Innovator Growth 100, which you can use to evaluate the volatility of the entity. Please check out Innovator Growth's Downside Deviation of 0.5715, risk adjusted performance of 0.0738, and Market Risk Adjusted Performance of 0.1153 to validate if the risk estimate we provide is consistent with the expected return of 0.0469%. 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 Growth's returns are expected to increase less than the market. However, during the bear market, the loss of holding Innovator Growth is expected to be smaller as well.
Auto-correlation | 0.60 |
Good predictability
Innovator Growth 100 Power has good predictability. Overlapping area represents the amount of predictability between Innovator Growth time series from 30th of May 2024 to 28th of August 2024 and 28th of August 2024 to 26th 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 Growth 100 price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Innovator Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.26 |
Innovator Growth 100 lagged returns against current returns
Autocorrelation, which is Innovator Growth 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 Growth's etf expected returns. We can calculate the autocorrelation of Innovator Growth returns to help us make a trade decision. For example, suppose you find that Innovator Growth 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 Growth 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 Growth etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Innovator Growth etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Innovator Growth etf over time.
Current vs Lagged Prices |
| Timeline |
Innovator Growth Lagged Returns
When evaluating Innovator Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Innovator Growth etf have on its future price. Innovator Growth 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 Growth autocorrelation shows the relationship between Innovator Growth etf current value and its past values and can show if there is a momentum factor associated with investing in Innovator Growth 100 Power.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Innovator Growth Correlation, Innovator Growth Volatility and Innovator Growth Alpha and Beta module to complement your research on Innovator Growth. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Innovator Growth 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.