Invesco SP (UK) Market Value
| SPEQ Etf | 58.65 0.54 0.91% |
| Symbol | Invesco |
Invesco SP '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 SP'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 Invesco SP.
| 01/20/2023 |
| 01/09/2025 |
If you would invest 0.00 in Invesco SP on January 20, 2023 and sell it all today you would earn a total of 0.00 from holding Invesco SP 500 or generate 0.0% return on investment in Invesco SP over 720 days. Invesco SP is related to or competes with SP 500, WisdomTree Natural, WisdomTree Natural, Leverage Shares, WisdomTree Silver, WisdomTree Cocoa, and WisdomTree. Invesco SP is entity of United Kingdom. It is traded as Etf on LSE exchange. More
Invesco SP 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 SP'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 Invesco SP 500 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7355 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 5.29 | |||
| Value At Risk | (1.13) | |||
| Potential Upside | 1.1 |
Invesco SP Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco SP's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco SP's standard deviation. In reality, there are many statistical measures that can use Invesco SP historical prices to predict the future Invesco SP's volatility.| Risk Adjusted Performance | 0.0048 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | (0.03) |
Invesco SP 500 Backtested Returns
Invesco SP 500 holds Efficiency (Sharpe) Ratio of -0.0462, which attests that the entity had a -0.0462% return per unit of risk over the last 3 months. Invesco SP 500 exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Invesco SP's Risk Adjusted Performance of 0.0048, market risk adjusted performance of (0.02), and Downside Deviation of 0.7355 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.16, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Invesco SP's returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco SP is expected to be smaller as well.
Auto-correlation | 0.11 |
Insignificant predictability
Invesco SP 500 has insignificant predictability. Overlapping area represents the amount of predictability between Invesco SP time series from 20th of January 2023 to 15th of January 2024 and 15th of January 2024 to 9th of January 2025. 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 SP 500 price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Invesco SP price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 9.04 |
Invesco SP 500 lagged returns against current returns
Autocorrelation, which is Invesco SP 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 SP's etf expected returns. We can calculate the autocorrelation of Invesco SP returns to help us make a trade decision. For example, suppose you find that Invesco SP 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 SP 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 SP etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Invesco SP etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Invesco SP etf over time.
Current vs Lagged Prices |
| Timeline |
Invesco SP Lagged Returns
When evaluating Invesco SP's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco SP etf have on its future price. Invesco SP 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 SP autocorrelation shows the relationship between Invesco SP etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco SP 500.
Regressed Prices |
| Timeline |
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Check out Invesco SP Correlation, Invesco SP Volatility and Invesco SP Alpha and Beta module to complement your research on Invesco SP. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Invesco SP 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.