Fidelity Total Market Fund Market Value
| FSKAX Fund | USD 145.74 0.37 0.25% |
| 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.
| 05/28/2022 |
| 05/17/2024 |
If you would invest 0.00 in Fidelity Total on May 28, 2022 and sell it all today you would earn a total of 0.00 from holding Fidelity Total Market or generate 0.0% return on investment in Fidelity Total over 720 days. Fidelity Total is related to or competes with Vanguard Total, Vanguard 500, Vanguard Total, Vanguard Total, Vanguard Total, and Vanguard 500. The fund normally invests at least 80 percent of assets in common stocks included in the Dow Jones U.S 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 Market upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7089 | |||
| Information Ratio | 1.0E-4 | |||
| Maximum Drawdown | 3.71 | |||
| Value At Risk | (1.20) | |||
| Potential Upside | 1.18 |
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 | 0.0882 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 1.0E-4 | |||
| Treynor Ratio | 0.088 |
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 Market Backtested Returns
We consider Fidelity Total very steady. Fidelity Total Market secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the fund had a 0.14% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Total Market, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Total's Mean Deviation of 0.6004, coefficient of variation of 691.21, and Downside Deviation of 0.7089 to check if the risk estimate we provide is consistent with the expected return of 0.1%. The fund shows a Beta (market volatility) of 1.12, which means a somewhat significant risk relative to the market. Fidelity Total returns are very sensitive to returns on the market. As the market goes up or down, Fidelity Total is expected to follow.
Auto-correlation | 0.52 |
Modest predictability
Fidelity Total Market has modest predictability. Overlapping area represents the amount of predictability between Fidelity Total time series from 28th of May 2022 to 23rd of May 2023 and 23rd of May 2023 to 17th of May 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 Market price movement. The serial correlation of 0.52 indicates that about 52.0% of current Fidelity Total price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 92.03 |
Fidelity Total Market 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 Market.
Regressed Prices |
| Timeline |
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Check out Fidelity Total Correlation, Fidelity Total Volatility and Fidelity Total Alpha and Beta module to complement your research on Fidelity Total. Note that the Fidelity Total Market information on this page should be used as a complementary analysis to other Fidelity Total'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 Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
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.