Fidelity Blue Chip Etf Market Value
| FBCG Etf | USD 45.63 0.23 0.50% |
| Symbol | Fidelity |
The market value of Fidelity Blue Chip is measured differently than its book value, which is the value of Fidelity that is recorded on the company's balance sheet. Investors also form their own opinion of Fidelity Blue's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Blue's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Fidelity Blue's market value can be influenced by many factors that don't directly affect Fidelity Blue's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Fidelity Blue's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Blue is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Blue's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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 etf 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.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in Fidelity Blue on December 9, 2022 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 720 days. Fidelity Blue is related to or competes with IShares MSCI, IShares MSCI, IShares MSCI, IShares Expanded, and IShares Core. Normally the fund invests at least 80 percent of assets in blue chip companies view, are well-known, well-established an... 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 etf 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 | 1.4 | |||
| Information Ratio | 0.0148 | |||
| Maximum Drawdown | 5.61 | |||
| Value At Risk | (2.09) | |||
| Potential Upside | 2.09 |
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 | 0.1011 | |||
| Jensen Alpha | 0.0213 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0122 | |||
| Treynor Ratio | 0.1425 |
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 point, Fidelity Blue is very steady. Fidelity Blue Chip secures Sharpe Ratio (or Efficiency) of 0.13, which denotes the etf had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine 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 782.5, mean deviation of 0.8072, and Downside Deviation of 1.4 to check if the risk estimate we provide is consistent with the expected return of 0.15%. The etf shows a Beta (market volatility) of 0.96, which means possible diversification benefits within a given portfolio. Fidelity Blue returns are very sensitive to returns on the market. As the market goes up or down, Fidelity Blue is expected to follow.
Auto-correlation | 0.90 |
Excellent predictability
Fidelity Blue Chip has excellent predictability. Overlapping area represents the amount of predictability between Fidelity Blue time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th of November 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 0.9 indicates that approximately 90.0% of current Fidelity Blue price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.84 | |
| Residual Average | 0.0 | |
| Price Variance | 13.7 |
Fidelity Blue Chip lagged returns against current returns
Autocorrelation, which is Fidelity Blue etf'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 etf 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 etf 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 etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Blue etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Blue etf 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 etf 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 etf 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 |
Currently Active Assets on Macroaxis
When determining whether Fidelity Blue Chip is a strong investment it is important to analyze Fidelity Blue's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Fidelity Blue's future performance. For an informed investment choice regarding Fidelity Etf, refer to the following important reports:Check out Fidelity Blue Correlation, Fidelity Blue Volatility and Fidelity Blue Alpha and Beta module to complement your research on Fidelity Blue. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Fidelity Blue technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.