Fidelity Advisor Sustainable Fund Market Value
| FYMCX Fund | USD 10.28 0.15 1.48% |
| Symbol | Fidelity |
Fidelity Advisorâ® '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 Advisorâ®'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 Advisorâ®.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Fidelity Advisorâ® on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Advisor Sustainable or generate 0.0% return on investment in Fidelity Advisorâ® over 90 days. Fidelity Advisorâ® is related to or competes with Fidelity Freedom, Fidelity Puritan, Fidelity Puritan, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, and Fidelity Salem. The fund invests at least 80 percent of assets in Fidelity Funds that invest in securities of issuers that the Adviser b... More
Fidelity Advisorâ® 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 Advisorâ®'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 Sustainable upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0535 | |||
| Maximum Drawdown | 3.49 | |||
| Value At Risk | (1.42) | |||
| Potential Upside | 1.06 |
Fidelity Advisorâ® Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Advisorâ®'s investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Advisorâ®'s standard deviation. In reality, there are many statistical measures that can use Fidelity Advisorâ® historical prices to predict the future Fidelity Advisorâ®'s volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | 0.0236 | |||
| Treynor Ratio | (0.12) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Advisorâ®'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 Advisor Sus Backtested Returns
Fidelity Advisor Sus secures Sharpe Ratio (or Efficiency) of -0.0602, which denotes the fund had a -0.0602 % return per unit of risk over the last 3 months. Fidelity Advisor Sustainable exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity Advisorâ®'s Mean Deviation of 0.5755, variance of 0.5506, and Standard Deviation of 0.7421 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.56, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Advisorâ®'s returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Advisorâ® is expected to be smaller as well.
Auto-correlation | -0.49 |
Modest reverse predictability
Fidelity Advisor Sustainable has modest reverse predictability. Overlapping area represents the amount of predictability between Fidelity Advisorâ® time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th 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 Sus price movement. The serial correlation of -0.49 indicates that about 49.0% of current Fidelity Advisorâ® price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Fidelity Advisor Sus lagged returns against current returns
Autocorrelation, which is Fidelity Advisorâ® 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 Advisorâ®'s mutual fund expected returns. We can calculate the autocorrelation of Fidelity Advisorâ® returns to help us make a trade decision. For example, suppose you find that Fidelity Advisorâ® 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 Advisorâ® 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 Advisorâ® mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Advisorâ® 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 Advisorâ® mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Advisorâ® Lagged Returns
When evaluating Fidelity Advisorâ®'s market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Advisorâ® mutual fund have on its future price. Fidelity Advisorâ® 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 Advisorâ® autocorrelation shows the relationship between Fidelity Advisorâ® mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Advisor Sustainable.
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 Advisorâ® 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 Advisorâ® security.
| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
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