Fidelity Quality (UK) Market Value
| FUQA Etf | 1,014 1.25 0.12% |
| Symbol | Fidelity |
Fidelity Quality '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 Fidelity Quality'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 Fidelity Quality.
| 04/22/2025 |
| 07/21/2025 |
If you would invest 0.00 in Fidelity Quality on April 22, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Quality Income or generate 0.0% return on investment in Fidelity Quality over 90 days. Fidelity Quality is related to or competes with GraniteShares, Leverage Shares, Leverage Shares, Leverage Shares, Leverage Shares, Leverage Shares, and Leverage Shares. Fidelity Quality is entity of United Kingdom More
Fidelity Quality 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 Fidelity Quality'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 Fidelity Quality Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.704 | |||
| Information Ratio | 0.0429 | |||
| Maximum Drawdown | 4.27 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.59 |
Fidelity Quality Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Quality's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Quality's standard deviation. In reality, there are many statistical measures that can use Fidelity Quality historical prices to predict the future Fidelity Quality's volatility.| Risk Adjusted Performance | 0.1938 | |||
| Jensen Alpha | 0.1314 | |||
| Total Risk Alpha | 0.0482 | |||
| Sortino Ratio | 0.0518 | |||
| Treynor Ratio | 0.6093 |
Fidelity Quality Income Backtested Returns
Fidelity Quality appears to be very steady, given 3 months investment horizon. Fidelity Quality Income secures Sharpe Ratio (or Efficiency) of 0.29, which denotes the etf had a 0.29 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity Quality Income, which you can use to evaluate the volatility of the entity. Please utilize Fidelity Quality's Downside Deviation of 0.704, mean deviation of 0.6142, and Coefficient Of Variation of 479.53 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.27, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Quality's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Quality is expected to be smaller as well.
Auto-correlation | 0.57 |
Modest predictability
Fidelity Quality Income has modest predictability. Overlapping area represents the amount of predictability between Fidelity Quality time series from 22nd of April 2025 to 6th of June 2025 and 6th of June 2025 to 21st of July 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 Fidelity Quality Income price movement. The serial correlation of 0.57 indicates that roughly 57.0% of current Fidelity Quality price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.57 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 345.65 |
Fidelity Quality Income lagged returns against current returns
Autocorrelation, which is Fidelity Quality 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 Fidelity Quality's etf expected returns. We can calculate the autocorrelation of Fidelity Quality returns to help us make a trade decision. For example, suppose you find that Fidelity Quality 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 |
Fidelity Quality 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 Fidelity Quality etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Quality etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Quality etf over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Quality Lagged Returns
When evaluating Fidelity Quality's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Quality etf have on its future price. Fidelity Quality 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, Fidelity Quality autocorrelation shows the relationship between Fidelity Quality etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Quality Income.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Fidelity Etf
Fidelity Quality financial ratios help investors to determine whether Fidelity Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Fidelity with respect to the benefits of owning Fidelity Quality security.