Invesco Bulletshares 2028 Etf Market Value
| BSCS Etf | USD 20.10 0.02 0.1% |
| Symbol | Invesco |
The market value of Invesco BulletShares 2028 is measured differently than its book value, which is the value of Invesco that is recorded on the company's balance sheet. Investors also form their own opinion of Invesco BulletShares' value that differs from its market value or its book value, called intrinsic value, which is Invesco BulletShares' 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 Invesco BulletShares' market value can be influenced by many factors that don't directly affect Invesco BulletShares' 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 Invesco BulletShares' value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco BulletShares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco BulletShares' 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.
Invesco BulletShares '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 Invesco BulletShares' 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 Invesco BulletShares.
| 11/06/2023 |
| 12/30/2024 |
If you would invest 0.00 in Invesco BulletShares on November 6, 2023 and sell it all today you would earn a total of 0.00 from holding Invesco BulletShares 2028 or generate 0.0% return on investment in Invesco BulletShares over 420 days. Invesco BulletShares is related to or competes with Invesco BulletShares, Invesco BulletShares, Invesco BulletShares, and Invesco BulletShares. The fund generally will invest at least 80 percent of its total assets in securities that comprise the underlying index More
Invesco BulletShares 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 Invesco BulletShares' 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 Invesco BulletShares 2028 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 0.9943 | |||
| Value At Risk | (0.35) | |||
| Potential Upside | 0.2459 |
Invesco BulletShares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco BulletShares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco BulletShares' standard deviation. In reality, there are many statistical measures that can use Invesco BulletShares historical prices to predict the future Invesco BulletShares' volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.56) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco BulletShares' 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.
Invesco BulletShares 2028 Backtested Returns
Invesco BulletShares 2028 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. Invesco BulletShares 2028 exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Invesco BulletShares' Market Risk Adjusted Performance of (0.55), standard deviation of 0.1902, and Risk Adjusted Performance of (0.11) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0493, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Invesco BulletShares' returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco BulletShares is expected to be smaller as well.
Auto-correlation | 0.74 |
Good predictability
Invesco BulletShares 2028 has good predictability. Overlapping area represents the amount of predictability between Invesco BulletShares time series from 6th of November 2023 to 3rd of June 2024 and 3rd of June 2024 to 30th 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 Invesco BulletShares 2028 price movement. The serial correlation of 0.74 indicates that around 74.0% of current Invesco BulletShares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Invesco BulletShares 2028 lagged returns against current returns
Autocorrelation, which is Invesco BulletShares 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 Invesco BulletShares' etf expected returns. We can calculate the autocorrelation of Invesco BulletShares returns to help us make a trade decision. For example, suppose you find that Invesco BulletShares 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 |
Invesco BulletShares 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 Invesco BulletShares etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco BulletShares etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco BulletShares etf over time.
Current vs Lagged Prices |
| Timeline |
Invesco BulletShares Lagged Returns
When evaluating Invesco BulletShares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco BulletShares etf have on its future price. Invesco BulletShares 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, Invesco BulletShares autocorrelation shows the relationship between Invesco BulletShares etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco BulletShares 2028.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Invesco BulletShares Correlation, Invesco BulletShares Volatility and Invesco BulletShares Alpha and Beta module to complement your research on Invesco BulletShares. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Invesco BulletShares 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.