Fidelity Core Bond Etf Market Value
| FCUB Etf | 25.12 0.01 0.04% |
| Symbol | Fidelity |
Fidelity Core '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 Core'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 Core.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Fidelity Core on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Core Bond or generate 0.0% return on investment in Fidelity Core over 90 days.
Fidelity Core 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 Core'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 Core Bond upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.363 | |||
| Information Ratio | (0.45) | |||
| Maximum Drawdown | 1.35 | |||
| Value At Risk | (0.52) | |||
| Potential Upside | 0.4374 |
Fidelity Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Core's standard deviation. In reality, there are many statistical measures that can use Fidelity Core historical prices to predict the future Fidelity Core's volatility.| Risk Adjusted Performance | 0.0285 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.35) |
Fidelity Core Bond Backtested Returns
As of now, Fidelity Etf is very steady. Fidelity Core Bond secures Sharpe Ratio (or Efficiency) of 0.0391, which denotes the etf had a 0.0391 % return per unit of risk over the last 3 months. We have found twenty-five technical indicators for Fidelity Core Bond, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Core's Standard Deviation of 0.2795, semi deviation of 0.2605, and Coefficient Of Variation of 1798.73 to check if the risk estimate we provide is consistent with the expected return of 0.011%. The etf shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Fidelity Core are completely uncorrelated.
Auto-correlation | -0.34 |
Poor reverse predictability
Fidelity Core Bond has poor reverse predictability. Overlapping area represents the amount of predictability between Fidelity Core time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 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 Core Bond price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Fidelity Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Fidelity Core Bond lagged returns against current returns
Autocorrelation, which is Fidelity Core 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 Core's etf expected returns. We can calculate the autocorrelation of Fidelity Core returns to help us make a trade decision. For example, suppose you find that Fidelity Core 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 Core 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 Core etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Core etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Core etf over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Core Lagged Returns
When evaluating Fidelity Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Core etf have on its future price. Fidelity Core 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 Core autocorrelation shows the relationship between Fidelity Core etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Core Bond.
Regressed Prices |
| Timeline |
Pair Trading with Fidelity Core
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Fidelity Core position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fidelity Core will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Fidelity Core could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Fidelity Core when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Fidelity Core - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Fidelity Core Bond to buy it.
The correlation of Fidelity Core is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Fidelity Core moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity Core Bond moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Fidelity Core can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.