Fidelity Asset Manager Fund Market Value
| FFIMX Fund | USD 19.58 0.04 0.20% |
| 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.
| 02/19/2024 |
| 04/19/2024 |
If you would invest 0.00 in Fidelity Asset on February 19, 2024 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 60 days. Fidelity Asset is related to or competes with Fidelity Freedom, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, Fidelity Salem, Fidelity Flex, and Aggressive Growth. 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 | 0.4614 | |||
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 2.04 | |||
| Value At Risk | (0.80) | |||
| Potential Upside | 0.6507 |
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 | 0.0318 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.0238 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Asset'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 Asset Manager Backtested Returns
We consider Fidelity Asset very steady. Fidelity Asset Manager secures Sharpe Ratio (or Efficiency) of 0.0424, which denotes the fund had a 0.0424% 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 0.3268, downside deviation of 0.4614, and Coefficient Of Variation of 1701.43 to check if the risk estimate we provide is consistent with the expected return of 0.018%. The fund shows a Beta (market volatility) of 0.63, 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 | -0.51 |
Good reverse predictability
Fidelity Asset Manager has good reverse predictability. Overlapping area represents the amount of predictability between Fidelity Asset time series from 19th of February 2024 to 20th of March 2024 and 20th of March 2024 to 19th 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 Asset Manager price movement. The serial correlation of -0.51 indicates that about 51.0% of current Fidelity Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Fidelity Asset Manager lagged returns against current returns
Autocorrelation, which is Fidelity Asset 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 Asset's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Asset returns to help us make a trade decision. For example, suppose you find that Fidelity Asset 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 Asset 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 Asset mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Asset 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 Asset mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Asset Lagged Returns
When evaluating Fidelity Asset's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Asset mutual fund have on its future price. Fidelity Asset 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 Asset autocorrelation shows the relationship between Fidelity Asset mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Asset Manager.
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 Asset 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 Asset's short interest history, or implied volatility extrapolated from Fidelity Asset options trading.
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Try AI Portfolio ArchitectCheck out Fidelity Asset Correlation, Fidelity Asset Volatility and Fidelity Asset Alpha and Beta module to complement your research on Fidelity Asset. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Fidelity Asset 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.