Fidelity Asset Manager Fund Market Value
| FTASX Fund | USD 27.47 0.04 0.15% |
| 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.
| 04/27/2024 |
| 06/26/2024 |
If you would invest 0.00 in Fidelity Asset on April 27, 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 ABIVAX Société, SCOR PK, Via Renewables, T Rowe, Knife River, Goldman Sachs, and Ampleforth. 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 | 0.5321 | |||
| Information Ratio | 0.0963 | |||
| Maximum Drawdown | 2.16 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 0.9225 |
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 | 0.0303 | |||
| Jensen Alpha | 0.0173 | |||
| Total Risk Alpha | 0.0419 | |||
| Sortino Ratio | 0.0927 | |||
| Treynor Ratio | 0.3441 |
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
At this stage we consider Fidelity Mutual Fund to be very steady. Fidelity Asset Manager secures Sharpe Ratio (or Efficiency) of 0.0387, which denotes the fund had a 0.0387% return per unit of risk over the last 3 months. We have found twenty-eight 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 0.3933, coefficient of variation of 1987.92, and Downside Deviation of 0.5321 to check if the risk estimate we provide is consistent with the expected return of 0.0202%. The fund shows a Beta (market volatility) of 0.0458, which means not very significant fluctuations relative to the market. 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 | 0.86 |
Very good predictability
Fidelity Asset Manager has very good predictability. Overlapping area represents the amount of predictability between Fidelity Asset time series from 27th of April 2024 to 27th of May 2024 and 27th of May 2024 to 26th of June 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 0.86 indicates that approximately 86.0% of current Fidelity Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.86 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
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 |
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.
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets |