Fidelity Total Emerging Fund Market Value
| FTEJX Fund | USD 12.38 0.04 0.32% |
| Symbol | Fidelity |
Fidelity Total '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 Total'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 Total.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Fidelity Total on May 6, 2022 and sell it all today you would earn a total of 0.00 from holding Fidelity Total Emerging or generate 0.0% return on investment in Fidelity Total over 720 days. Fidelity Total is related to or competes with Amana Income, Amana Growth, Amana Participation, HUMANA, Barloworld, Morningstar Unconstrained, and High Yield. The fund normally invests at least 80 percent of assets in securities of issuers in emerging markets and other investmen... More
Fidelity Total 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 Total'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 Total Emerging upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6909 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.44 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.05 |
Fidelity Total Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Total's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Total's standard deviation. In reality, there are many statistical measures that can use Fidelity Total historical prices to predict the future Fidelity Total's volatility.| Risk Adjusted Performance | 0.081 | |||
| Jensen Alpha | 0.0091 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0977 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Total'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 Total Emerging Backtested Returns
We consider Fidelity Total very steady. Fidelity Total Emerging secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the fund had a 0.12% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Total Emerging, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Total's Mean Deviation of 0.4645, downside deviation of 0.6909, and Coefficient Of Variation of 770.48 to check if the risk estimate we provide is consistent with the expected return of 0.0767%. The fund shows a Beta (market volatility) of 0.73, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Total's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Total is expected to be smaller as well.
Auto-correlation | 0.46 |
Average predictability
Fidelity Total Emerging has average predictability. Overlapping area represents the amount of predictability between Fidelity Total time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th 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 Total Emerging price movement. The serial correlation of 0.46 indicates that about 46.0% of current Fidelity Total price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Fidelity Total Emerging lagged returns against current returns
Autocorrelation, which is Fidelity Total 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 Total's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Total returns to help us make a trade decision. For example, suppose you find that Fidelity Total 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 Total 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 Total mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Total 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 Total mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Total Lagged Returns
When evaluating Fidelity Total's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Total mutual fund have on its future price. Fidelity Total 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 Total autocorrelation shows the relationship between Fidelity Total mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Total Emerging.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Fidelity Total in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Fidelity Total's short interest history, or implied volatility extrapolated from Fidelity Total options trading.
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Fidelity Total 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.