Fidelity Advisor Series Fund Market Value
| FMFMX Fund | USD 14.61 0.36 2.40% |
| Symbol | Fidelity |
Fidelity Advisor '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 Advisor'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 Advisor.
| 02/28/2025 |
| 03/30/2025 |
If you would invest 0.00 in Fidelity Advisor on February 28, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Advisor Series or generate 0.0% return on investment in Fidelity Advisor over 30 days. Fidelity Advisor is related to or competes with Ab Bond, Federated Municipal, Goldman Sachs, Scout Core, Pace Strategic, and Intermediate Bond. The fund normally invests at least 80 percent of its assets in equity securities More
Fidelity Advisor 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 Advisor'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 Advisor Series upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 5.63 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 2.04 |
Fidelity Advisor Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Advisor's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Advisor's standard deviation. In reality, there are many statistical measures that can use Fidelity Advisor historical prices to predict the future Fidelity Advisor's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.06) | |||
| Treynor Ratio | (0.13) |
Fidelity Advisor Series Backtested Returns
Fidelity Advisor Series secures Sharpe Ratio (or Efficiency) of -0.1, which denotes the fund had a -0.1 % return per unit of risk over the last 3 months. Fidelity Advisor Series exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity Advisor's Variance of 1.79, mean deviation of 1.04, and Standard Deviation of 1.34 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 1.14, which means a somewhat significant risk relative to the market. Fidelity Advisor returns are very sensitive to returns on the market. As the market goes up or down, Fidelity Advisor is expected to follow.
Auto-correlation | 0.11 |
Insignificant predictability
Fidelity Advisor Series has insignificant predictability. Overlapping area represents the amount of predictability between Fidelity Advisor time series from 28th of February 2025 to 15th of March 2025 and 15th of March 2025 to 30th of March 2025. 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 Advisor Series price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Fidelity Advisor price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Fidelity Advisor Series lagged returns against current returns
Autocorrelation, which is Fidelity Advisor 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 Advisor's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Advisor returns to help us make a trade decision. For example, suppose you find that Fidelity Advisor 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 Advisor 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 Advisor mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Advisor 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 Advisor mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Advisor Lagged Returns
When evaluating Fidelity Advisor's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Advisor mutual fund have on its future price. Fidelity Advisor 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 Advisor autocorrelation shows the relationship between Fidelity Advisor mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Advisor Series.
Regressed Prices |
| Timeline |
Also Currently Popular
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| ASLE | AerSale Corp | |
| ATS | AT S Austria |
Other Information on Investing in Fidelity Mutual Fund
Fidelity Advisor 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 Advisor security.
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