Innovator 20 Year Etf Market Value
| TBJL Etf | USD 19.14 0.22 1.14% |
| Symbol | Innovator |
The market value of Innovator 20 Year 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's value that differs from its market value or its book value, called intrinsic value, which is Innovator'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's market value can be influenced by many factors that don't directly affect Innovator'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's value and its price as these two are different measures arrived at by different means. Investors typically determine if Innovator is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Innovator'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 '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'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.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Innovator on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Innovator 20 Year or generate 0.0% return on investment in Innovator over 30 days. Innovator is related to or competes with Innovator Equity, and Innovator Growth. The fund invests at least 80 percent of its net assets in FLexible EXchange Options that reference the iShares 20 Year T... More
Innovator 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'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 20 Year upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 3.03 | |||
| Value At Risk | (1.10) | |||
| Potential Upside | 0.7591 |
Innovator Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Innovator's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Innovator's standard deviation. In reality, there are many statistical measures that can use Innovator historical prices to predict the future Innovator's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.10) | |||
| Treynor Ratio | (0.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Innovator'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 20 Year Backtested Returns
Innovator 20 Year holds Efficiency (Sharpe) Ratio of -0.0587, which attests that the entity had a -0.0587% return per unit of risk over the last 3 months. Innovator 20 Year exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Innovator's Standard Deviation of 0.5706, market risk adjusted performance of (0.05), and Risk Adjusted Performance of (0.02) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.4, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Innovator's returns are expected to increase less than the market. However, during the bear market, the loss of holding Innovator is expected to be smaller as well.
Auto-correlation | 0.72 |
Good predictability
Innovator 20 Year has good predictability. Overlapping area represents the amount of predictability between Innovator time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th of April 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 20 Year price movement. The serial correlation of 0.72 indicates that around 72.0% of current Innovator price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Innovator 20 Year lagged returns against current returns
Autocorrelation, which is Innovator 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's etf expected returns. We can calculate the autocorrelation of Innovator returns to help us make a trade decision. For example, suppose you find that Innovator 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 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Innovator etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Innovator etf over time.
Current vs Lagged Prices |
| Timeline |
Innovator Lagged Returns
When evaluating Innovator's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Innovator etf have on its future price. Innovator 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 autocorrelation shows the relationship between Innovator etf current value and its past values and can show if there is a momentum factor associated with investing in Innovator 20 Year.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Innovator 20 Year is a strong investment it is important to analyze Innovator's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Innovator's future performance. For an informed investment choice regarding Innovator Etf, refer to the following important reports:Check out Innovator Correlation, Innovator Volatility and Innovator Alpha and Beta module to complement your research on Innovator. You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
Innovator 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.