Fidelity Emerging Markets Fund Market Value
| FEDTX Fund | USD 16.01 0.19 1.17% |
| 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 mutual fund 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.
| 01/22/2023 |
| 04/16/2024 |
If you would invest 0.00 in Fidelity Emerging on January 22, 2023 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 450 days. Fidelity Emerging is related to or competes with Fidelity Total, Fidelity Global, Fidelity Total, and Fidelity International. The fund invests at least 80 percent of assets in securities of issuers in emerging markets and other investments that a... 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 mutual fund 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 | 0.8497 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.09 | |||
| Value At Risk | (1.45) | |||
| Potential Upside | 1.13 |
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 | 0.0405 | |||
| Jensen Alpha | 0.0326 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.5038 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Emerging's 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.
Fidelity Emerging Markets Backtested Returns
We consider Fidelity Emerging very steady. Fidelity Emerging Markets secures Sharpe Ratio (or Efficiency) of 0.0993, which denotes the fund had a 0.0993% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Emerging Markets, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Emerging's Downside Deviation of 0.8497, mean deviation of 0.5734, and Coefficient Of Variation of 1613.27 to check if the risk estimate we provide is consistent with the expected return of 0.0715%. The fund shows a Beta (market volatility) of 0.0723, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Emerging is expected to be smaller as well.
Auto-correlation | 0.71 |
Good predictability
Fidelity Emerging Markets has good predictability. Overlapping area represents the amount of predictability between Fidelity Emerging time series from 22nd of January 2023 to 4th of September 2023 and 4th of September 2023 to 16th of April 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 0.71 indicates that around 71.0% of current Fidelity Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.65 | |
| Residual Average | 0.0 | |
| Price Variance | 0.36 |
Fidelity Emerging Markets lagged returns against current returns
Autocorrelation, which is Fidelity Emerging mutual fund'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 mutual fund 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 mutual fund 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 mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Emerging mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Emerging mutual fund 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 mutual fund 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 mutual fund 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 |
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Fidelity Emerging technical mutual fund 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, fund market cycles, or different charting patterns.