Fidelity Asset Manager Fund Market Value
| FSCNX Fund | USD 17.38 0.03 0.17% |
| Symbol | FIDELITY |
Fidelity Asset '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 Asset'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 Asset.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Fidelity Asset on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Asset Manager or generate 0.0% return on investment in Fidelity Asset over 90 days. Fidelity Asset is related to or competes with Inverse Government, Us Government, Short-term Government, Us Government, Us Government, Us Government, and Vanguard Intermediate-ter. The fund allocates its assets among three main asset classes the stock class , the bond class , and the short-termmoney market class . More
Fidelity Asset 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 Asset'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 Asset Manager upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5392 | |||
| Information Ratio | 0.0568 | |||
| Maximum Drawdown | 5.13 | |||
| Value At Risk | (0.81) | |||
| Potential Upside | 0.8957 |
Fidelity Asset Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Asset's standard deviation. In reality, there are many statistical measures that can use Fidelity Asset historical prices to predict the future Fidelity Asset's volatility.| Risk Adjusted Performance | 0.161 | |||
| Jensen Alpha | 0.09 | |||
| Total Risk Alpha | 0.0508 | |||
| Sortino Ratio | 0.0735 | |||
| Treynor Ratio | 0.2887 |
Fidelity Asset February 12, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.161 | |||
| Market Risk Adjusted Performance | 0.2987 | |||
| Mean Deviation | 0.4524 | |||
| Semi Deviation | 0.2316 | |||
| Downside Deviation | 0.5392 | |||
| Coefficient Of Variation | 488.18 | |||
| Standard Deviation | 0.6983 | |||
| Variance | 0.4877 | |||
| Information Ratio | 0.0568 | |||
| Jensen Alpha | 0.09 | |||
| Total Risk Alpha | 0.0508 | |||
| Sortino Ratio | 0.0735 | |||
| Treynor Ratio | 0.2887 | |||
| Maximum Drawdown | 5.13 | |||
| Value At Risk | (0.81) | |||
| Potential Upside | 0.8957 | |||
| Downside Variance | 0.2907 | |||
| Semi Variance | 0.0536 | |||
| Expected Short fall | (0.53) | |||
| Skewness | 2.37 | |||
| Kurtosis | 12.89 |
Fidelity Asset Manager Backtested Returns
At this stage we consider FIDELITY Mutual Fund to be very steady. Fidelity Asset Manager secures Sharpe Ratio (or Efficiency) of 0.22, which denotes the fund had a 0.22 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Asset Manager, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Asset's Mean Deviation of 0.4524, coefficient of variation of 488.18, and Downside Deviation of 0.5392 to check if the risk estimate we provide is consistent with the expected return of 0.16%. The fund shows a Beta (market volatility) of 0.46, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Asset's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Asset is expected to be smaller as well.
Auto-correlation | 0.52 |
Modest predictability
Fidelity Asset Manager has modest predictability. Overlapping area represents the amount of predictability between Fidelity Asset time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th of February 2026. 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 Asset Manager price movement. The serial correlation of 0.52 indicates that about 52.0% of current Fidelity Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
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.Other Information on Investing in FIDELITY Mutual Fund
Fidelity Asset financial ratios help investors to determine whether FIDELITY Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in FIDELITY with respect to the benefits of owning Fidelity Asset security.
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
| Positions Ratings 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 |