Innovator Nasdaq 100 Power Etf Market Value
| NAPR Etf | USD 49.87 0.10 0.20% |
| Symbol | Innovator |
The market value of Innovator Nasdaq 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 Nasdaq's value that differs from its market value or its book value, called intrinsic value, which is Innovator Nasdaq'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 Nasdaq's market value can be influenced by many factors that don't directly affect Innovator Nasdaq'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 Nasdaq's value and its price as these two are different measures arrived at by different means. Investors typically determine if Innovator Nasdaq is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Innovator Nasdaq'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 Nasdaq '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 Nasdaq'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 Nasdaq.
| 05/27/2024 |
| 11/23/2024 |
If you would invest 0.00 in Innovator Nasdaq on May 27, 2024 and sell it all today you would earn a total of 0.00 from holding Innovator Nasdaq 100 Power or generate 0.0% return on investment in Innovator Nasdaq over 180 days. Innovator Nasdaq is related to or competes with Innovator Growth, Innovator Russell, Innovator Nasdaq, Innovator Russell, 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 Nasdaq 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 Nasdaq'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 Nasdaq 100 Power upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6729 | |||
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 2.53 | |||
| Value At Risk | (1.04) | |||
| Potential Upside | 0.7985 |
Innovator Nasdaq Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Innovator Nasdaq's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Innovator Nasdaq's standard deviation. In reality, there are many statistical measures that can use Innovator Nasdaq historical prices to predict the future Innovator Nasdaq's volatility.| Risk Adjusted Performance | 0.0654 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.0813 |
Innovator Nasdaq 100 Backtested Returns
Currently, Innovator Nasdaq 100 Power is very steady. Innovator Nasdaq 100 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-nine technical indicators for Innovator Nasdaq 100, which you can use to evaluate the volatility of the entity. Please check out Innovator Nasdaq's Downside Deviation of 0.6729, risk adjusted performance of 0.0654, and Market Risk Adjusted Performance of 0.0913 to validate if the risk estimate we provide is consistent with the expected return of 0.0674%. The etf retains a Market Volatility (i.e., Beta) of 0.5, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Innovator Nasdaq's returns are expected to increase less than the market. However, during the bear market, the loss of holding Innovator Nasdaq is expected to be smaller as well.
Auto-correlation | 0.22 |
Weak predictability
Innovator Nasdaq 100 Power has weak predictability. Overlapping area represents the amount of predictability between Innovator Nasdaq time series from 27th of May 2024 to 25th of August 2024 and 25th of August 2024 to 23rd 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 Nasdaq 100 price movement. The serial correlation of 0.22 indicates that over 22.0% of current Innovator Nasdaq price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.22 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.76 |
Innovator Nasdaq 100 lagged returns against current returns
Autocorrelation, which is Innovator Nasdaq 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 Nasdaq's etf expected returns. We can calculate the autocorrelation of Innovator Nasdaq returns to help us make a trade decision. For example, suppose you find that Innovator Nasdaq 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 Nasdaq 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 Nasdaq etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Innovator Nasdaq etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Innovator Nasdaq etf over time.
Current vs Lagged Prices |
| Timeline |
Innovator Nasdaq Lagged Returns
When evaluating Innovator Nasdaq's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Innovator Nasdaq etf have on its future price. Innovator Nasdaq 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 Nasdaq autocorrelation shows the relationship between Innovator Nasdaq etf current value and its past values and can show if there is a momentum factor associated with investing in Innovator Nasdaq 100 Power.
Regressed Prices |
| Timeline |
Pair Trading with Innovator Nasdaq
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 Nasdaq 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 Nasdaq will appreciate offsetting losses from the drop in the long position's value.Moving together with Innovator Etf
| 0.99 | BUFR | First Trust Cboe | PairCorr |
| 0.98 | BUFD | FT Cboe Vest | PairCorr |
| 0.99 | PSEP | Innovator SP 500 | PairCorr |
| 0.98 | PJAN | Innovator SP 500 | PairCorr |
The ability to find closely correlated positions to Innovator Nasdaq 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 Nasdaq 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 Nasdaq - 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 Nasdaq 100 Power to buy it.
The correlation of Innovator Nasdaq 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 Nasdaq moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Innovator Nasdaq 100 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 Nasdaq 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.Check out Innovator Nasdaq Correlation, Innovator Nasdaq Volatility and Innovator Nasdaq Alpha and Beta module to complement your research on Innovator Nasdaq. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Innovator Nasdaq 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.