Fidelity Emerging (UK) Market Value
| FEMD Etf | 4.09 0.02 0.49% |
| Symbol | Fidelity |
Fidelity Emerging '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 Emerging'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 Emerging.
| 11/13/2024 |
| 12/13/2024 |
If you would invest 0.00 in Fidelity Emerging on November 13, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Emerging Markets or generate 0.0% return on investment in Fidelity Emerging over 30 days. Fidelity Emerging is related to or competes with IShares Treasury, IShares Treasury, VanEck Crypto, SPDR Barclays, Amundi Treasury, Invesco Solar, and SPDR Barclays. Fidelity Emerging is entity of United Kingdom More
Fidelity Emerging 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 Emerging'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 Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9295 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 3.23 | |||
| Value At Risk | (1.44) | |||
| Potential Upside | 0.9709 |
Fidelity Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Emerging's standard deviation. In reality, there are many statistical measures that can use Fidelity Emerging historical prices to predict the future Fidelity Emerging's volatility.| Risk Adjusted Performance | 0.0644 | |||
| Jensen Alpha | 0.0565 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (1.52) |
Fidelity Emerging Markets Backtested Returns
Currently, Fidelity Emerging Markets is not too volatile. Fidelity Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.0801, which denotes the etf had a 0.0801% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Emerging Markets, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Emerging's Mean Deviation of 0.5413, downside deviation of 0.9295, and Coefficient Of Variation of 1122.54 to check if the risk estimate we provide is consistent with the expected return of 0.0569%. The etf shows a Beta (market volatility) of -0.0348, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Fidelity Emerging are expected to decrease at a much lower rate. During the bear market, Fidelity Emerging is likely to outperform the market.
Auto-correlation | 0.21 |
Weak predictability
Fidelity Emerging Markets has weak predictability. Overlapping area represents the amount of predictability between Fidelity Emerging time series from 13th of November 2024 to 28th of November 2024 and 28th of November 2024 to 13th 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 Fidelity Emerging Markets price movement. The serial correlation of 0.21 indicates that over 21.0% of current Fidelity Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Fidelity Emerging Markets lagged returns against current returns
Autocorrelation, which is Fidelity Emerging 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 Emerging's etf expected returns. We can calculate the autocorrelation of Fidelity Emerging returns to help us make a trade decision. For example, suppose you find that Fidelity Emerging 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 Emerging 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 Emerging etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Emerging etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Emerging etf over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Emerging Lagged Returns
When evaluating Fidelity Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Emerging etf have on its future price. Fidelity Emerging 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 Emerging autocorrelation shows the relationship between Fidelity Emerging etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Emerging Markets.
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.When determining whether Fidelity Emerging Markets is a strong investment it is important to analyze Fidelity Emerging'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 Fidelity Emerging's future performance. For an informed investment choice regarding Fidelity Etf, refer to the following important reports:Check out Fidelity Emerging Correlation, Fidelity Emerging Volatility and Fidelity Emerging Alpha and Beta module to complement your research on Fidelity Emerging. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
Fidelity Emerging 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.