Fidelity Metaverse (UK) Market Value
FMTV Etf | 5.28 0.03 0.56% |
Symbol | Fidelity |
Fidelity Metaverse '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 Metaverse'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 Metaverse.
05/31/2024 |
| 11/27/2024 |
If you would invest 0.00 in Fidelity Metaverse on May 31, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Metaverse UCITS or generate 0.0% return on investment in Fidelity Metaverse over 180 days. Fidelity Metaverse is related to or competes with Leverage Shares, WisdomTree, WisdomTree Silver, Leverage Shares, GraniteShares FAANG, Lyxor 10Y, and GraniteShares. Fidelity Metaverse is entity of United Kingdom More
Fidelity Metaverse 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 Metaverse'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 Metaverse UCITS upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.06 | |||
Information Ratio | (0.03) | |||
Maximum Drawdown | 3.76 | |||
Value At Risk | (1.57) | |||
Potential Upside | 1.57 |
Fidelity Metaverse Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Metaverse's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Metaverse's standard deviation. In reality, there are many statistical measures that can use Fidelity Metaverse historical prices to predict the future Fidelity Metaverse's volatility.Risk Adjusted Performance | 0.0868 | |||
Jensen Alpha | 0.0356 | |||
Total Risk Alpha | (0.05) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | 0.1901 |
Fidelity Metaverse UCITS Backtested Returns
Currently, Fidelity Metaverse UCITS is not too volatile. Fidelity Metaverse UCITS secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the etf had a 0.12% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Metaverse UCITS, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Metaverse's Downside Deviation of 1.06, mean deviation of 0.7531, and Coefficient Of Variation of 900.45 to check if the risk estimate we provide is consistent with the expected return of 0.11%. The etf shows a Beta (market volatility) of 0.5, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Metaverse's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Metaverse is expected to be smaller as well.
Auto-correlation | -0.41 |
Modest reverse predictability
Fidelity Metaverse UCITS has modest reverse predictability. Overlapping area represents the amount of predictability between Fidelity Metaverse time series from 31st of May 2024 to 29th of August 2024 and 29th of August 2024 to 27th 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 Fidelity Metaverse UCITS price movement. The serial correlation of -0.41 indicates that just about 41.0% of current Fidelity Metaverse price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.41 | |
Spearman Rank Test | -0.53 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
Fidelity Metaverse UCITS lagged returns against current returns
Autocorrelation, which is Fidelity Metaverse 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 Metaverse's etf expected returns. We can calculate the autocorrelation of Fidelity Metaverse returns to help us make a trade decision. For example, suppose you find that Fidelity Metaverse 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 Metaverse 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 Metaverse etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Metaverse etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Metaverse etf over time.
Current vs Lagged Prices |
Timeline |
Fidelity Metaverse Lagged Returns
When evaluating Fidelity Metaverse's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Metaverse etf have on its future price. Fidelity Metaverse 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 Metaverse autocorrelation shows the relationship between Fidelity Metaverse etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Metaverse UCITS.
Regressed Prices |
Timeline |
Also Currently Popular
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 Metaverse 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 Metaverse security.