Fidelity Vertible Securities Fund Market Value
| FCVSX Fund | USD 36.73 0.40 1.10% |
| Symbol | Fidelity |
Fidelity Vertible '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 Vertible'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 Vertible.
| 11/22/2024 |
| 12/22/2024 |
If you would invest 0.00 in Fidelity Vertible on November 22, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Vertible Securities or generate 0.0% return on investment in Fidelity Vertible over 30 days. Fidelity Vertible is related to or competes with Fidelity Freedom, Fidelity Puritan, Fidelity Puritan, Fidelity Pennsylvania, Fidelity Freedom, Fidelity Freedom, and Fidelity Salem. The fund normally invests at least 80 percent of assets in convertible securities, which are often lower-quality debt se... More
Fidelity Vertible 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 Vertible'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 Vertible Securities upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7079 | |||
| Information Ratio | 0.1011 | |||
| Maximum Drawdown | 4.27 | |||
| Value At Risk | (0.69) | |||
| Potential Upside | 1.09 |
Fidelity Vertible Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Vertible's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Vertible's standard deviation. In reality, there are many statistical measures that can use Fidelity Vertible historical prices to predict the future Fidelity Vertible's volatility.| Risk Adjusted Performance | 0.1164 | |||
| Jensen Alpha | 0.0754 | |||
| Total Risk Alpha | 0.0711 | |||
| Sortino Ratio | 0.0955 | |||
| Treynor Ratio | 0.1385 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Vertible'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 Vertible Backtested Returns
At this stage we consider Fidelity Mutual Fund to be very steady. Fidelity Vertible secures Sharpe Ratio (or Efficiency) of 0.15, which denotes the fund had a 0.15% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Fidelity Vertible Securities, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Vertible's Downside Deviation of 0.7079, coefficient of variation of 669.85, and Mean Deviation of 0.5067 to check if the risk estimate we provide is consistent with the expected return of 0.1%. The fund shows a Beta (market volatility) of 0.65, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Vertible's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Vertible is expected to be smaller as well.
Auto-correlation | -0.31 |
Poor reverse predictability
Fidelity Vertible Securities has poor reverse predictability. Overlapping area represents the amount of predictability between Fidelity Vertible time series from 22nd of November 2024 to 7th of December 2024 and 7th of December 2024 to 22nd of December 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 Vertible price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Fidelity Vertible price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | 0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.27 |
Fidelity Vertible lagged returns against current returns
Autocorrelation, which is Fidelity Vertible 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 Vertible's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Vertible returns to help us make a trade decision. For example, suppose you find that Fidelity Vertible 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 Vertible 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 Vertible mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Vertible 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 Vertible mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Vertible Lagged Returns
When evaluating Fidelity Vertible's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Vertible mutual fund have on its future price. Fidelity Vertible 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 Vertible autocorrelation shows the relationship between Fidelity Vertible mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Vertible Securities.
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 Vertible 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 Vertible security.
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