Fidelity Extended Market Fund Market Value
FSMAX Fund | USD 83.51 0.25 0.30% |
Symbol | Fidelity |
Fidelity Extended '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 Extended'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 Extended.
04/04/2023 |
| 03/29/2024 |
If you would invest 0.00 in Fidelity Extended on April 4, 2023 and sell it all today you would earn a total of 0.00 from holding Fidelity Extended Market or generate 0.0% return on investment in Fidelity Extended over 360 days. Fidelity Extended is related to or competes with Vanguard Mid, Vanguard Mid-cap, Vanguard Mid-cap, Vanguard Extended, Vanguard Extended, Vanguard Extended, and Vanguard Extended. The fund normally invests at least 80 percent of assets in common stocks included in the Dow Jones U.S More
Fidelity Extended 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 Extended'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 Extended Market upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.14 | |||
Information Ratio | (0.03) | |||
Maximum Drawdown | 4.83 | |||
Value At Risk | (1.48) | |||
Potential Upside | 1.63 |
Fidelity Extended Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Extended's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Extended's standard deviation. In reality, there are many statistical measures that can use Fidelity Extended historical prices to predict the future Fidelity Extended's volatility.Risk Adjusted Performance | 0.0616 | |||
Jensen Alpha | (0.11) | |||
Total Risk Alpha | (0.14) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | 0.0592 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Extended'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 Extended Market Backtested Returns
We consider Fidelity Extended very steady. Fidelity Extended Market secures Sharpe Ratio (or Efficiency) of 0.13, which denotes the fund had a 0.13% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Extended Market, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Extended's Mean Deviation of 0.8125, coefficient of variation of 975.84, and Downside Deviation of 1.14 to check if the risk estimate we provide is consistent with the expected return of 0.13%. The fund shows a Beta (market volatility) of 1.64, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Fidelity Extended will likely underperform.
Auto-correlation | 0.75 |
Good predictability
Fidelity Extended Market has good predictability. Overlapping area represents the amount of predictability between Fidelity Extended time series from 4th of April 2023 to 1st of October 2023 and 1st of October 2023 to 29th of March 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 Extended Market price movement. The serial correlation of 0.75 indicates that around 75.0% of current Fidelity Extended price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.75 | |
Spearman Rank Test | 0.64 | |
Residual Average | 0.0 | |
Price Variance | 36.0 |
Fidelity Extended Market lagged returns against current returns
Autocorrelation, which is Fidelity Extended 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 Extended's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Extended returns to help us make a trade decision. For example, suppose you find that Fidelity Extended 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 Extended 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 Extended mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Extended 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 Extended mutual fund over time.
Current vs Lagged Prices |
Timeline |
Fidelity Extended Lagged Returns
When evaluating Fidelity Extended's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Extended mutual fund have on its future price. Fidelity Extended 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 Extended autocorrelation shows the relationship between Fidelity Extended mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Extended Market.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out Fidelity Extended Correlation, Fidelity Extended Volatility and Fidelity Extended Alpha and Beta module to complement your research on Fidelity Extended. Note that the Fidelity Extended Market information on this page should be used as a complementary analysis to other Fidelity Extended's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Complementary Tools for Fidelity Mutual Fund analysis
When running Fidelity Extended's price analysis, check to measure Fidelity Extended's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Fidelity Extended is operating at the current time. Most of Fidelity Extended's value examination focuses on studying past and present price action to predict the probability of Fidelity Extended's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Fidelity Extended's price. Additionally, you may evaluate how the addition of Fidelity Extended to your portfolios can decrease your overall portfolio volatility.
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