Fidelity Blue Chip Fund Market Value
| FBCVX Fund | USD 25.64 0.23 0.89% |
| Symbol | Fidelity |
Fidelity Blue '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 Blue'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 Blue.
| 11/11/2024 |
| 12/11/2024 |
If you would invest 0.00 in Fidelity Blue on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding Fidelity Blue Chip or generate 0.0% return on investment in Fidelity Blue over 30 days. Fidelity Blue is related to or competes with Fidelity Stock, Fidelity Value, Fidelity Mid, Fidelity Advisor, and Fidelity Mega. The fund invests primarily in common stock More
Fidelity Blue 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 Blue'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 Blue Chip upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5731 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 3.38 | |||
| Value At Risk | (0.84) | |||
| Potential Upside | 1.16 |
Fidelity Blue Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Blue's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Blue's standard deviation. In reality, there are many statistical measures that can use Fidelity Blue historical prices to predict the future Fidelity Blue's volatility.| Risk Adjusted Performance | 0.0312 | |||
| Jensen Alpha | 0.0138 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0.17) | |||
| Treynor Ratio | 0.3983 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Blue'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 Blue Chip Backtested Returns
At this stage we consider Fidelity Mutual Fund to be very steady. Fidelity Blue Chip secures Sharpe Ratio (or Efficiency) of 0.0285, which denotes the fund had a 0.0285% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Blue Chip, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Blue's Coefficient Of Variation of 2248.06, mean deviation of 0.5175, and Downside Deviation of 0.5731 to check if the risk estimate we provide is consistent with the expected return of 0.019%. The fund shows a Beta (market volatility) of 0.0485, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Blue's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Blue is expected to be smaller as well.
Auto-correlation | -0.55 |
Good reverse predictability
Fidelity Blue Chip has good reverse predictability. Overlapping area represents the amount of predictability between Fidelity Blue time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th 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 Blue Chip price movement. The serial correlation of -0.55 indicates that about 55.0% of current Fidelity Blue price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.55 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.16 |
Fidelity Blue Chip lagged returns against current returns
Autocorrelation, which is Fidelity Blue 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 Blue's mutual fund expected returns. We can calculate the autocorrelation of Fidelity Blue returns to help us make a trade decision. For example, suppose you find that Fidelity Blue 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 Blue 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 Blue mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Blue 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 Blue mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Blue Lagged Returns
When evaluating Fidelity Blue's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Blue mutual fund have on its future price. Fidelity Blue 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 Blue autocorrelation shows the relationship between Fidelity Blue mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Blue Chip.
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 Blue 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 Blue security.
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios |