Fidelity Systematic Municipal Etf Market Value
| FMUN Etf | 50.49 0.06 0.12% |
| Symbol | Fidelity |
The market value of Fidelity Systematic 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 Systematic's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Systematic'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 Systematic's market value can be influenced by many factors that don't directly affect Fidelity Systematic'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 Systematic's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Systematic is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Systematic'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 Systematic '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 Systematic'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 Systematic.
| 12/12/2025 |
| 01/11/2026 |
If you would invest 0.00 in Fidelity Systematic on December 12, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Systematic Municipal or generate 0.0% return on investment in Fidelity Systematic over 30 days. Fidelity Systematic is related to or competes with ProShares High, Fidelity Municipal, Fidelity International, First Trust, Global X, Innovator Etfs, and RBB Fund. Fidelity Systematic is entity of United States More
Fidelity Systematic 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 Systematic'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 Systematic Municipal upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1363 | |||
| Information Ratio | (0.50) | |||
| Maximum Drawdown | 0.6194 | |||
| Value At Risk | (0.16) | |||
| Potential Upside | 0.2625 |
Fidelity Systematic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Systematic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Systematic's standard deviation. In reality, there are many statistical measures that can use Fidelity Systematic historical prices to predict the future Fidelity Systematic's volatility.| Risk Adjusted Performance | 0.1235 | |||
| Jensen Alpha | 0.0185 | |||
| Total Risk Alpha | 0.0051 | |||
| Sortino Ratio | (0.47) | |||
| Treynor Ratio | 1.28 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity Systematic'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 Systematic Backtested Returns
As of now, Fidelity Etf is very steady. Fidelity Systematic secures Sharpe Ratio (or Efficiency) of 0.19, which denotes the etf had a 0.19 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Fidelity Systematic Municipal, which you can use to evaluate the volatility of the entity. Please confirm Fidelity Systematic's Mean Deviation of 0.0975, coefficient of variation of 435.1, and Standard Deviation of 0.1296 to check if the risk estimate we provide is consistent with the expected return of 0.0251%. The etf shows a Beta (market volatility) of 0.0154, which means not very significant fluctuations relative to the market. As returns on the market increase, Fidelity Systematic's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Systematic is expected to be smaller as well.
Auto-correlation | 0.82 |
Very good predictability
Fidelity Systematic Municipal has very good predictability. Overlapping area represents the amount of predictability between Fidelity Systematic time series from 12th of December 2025 to 27th of December 2025 and 27th of December 2025 to 11th of January 2026. 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 Systematic price movement. The serial correlation of 0.82 indicates that around 82.0% of current Fidelity Systematic price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Fidelity Systematic lagged returns against current returns
Autocorrelation, which is Fidelity Systematic 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 Systematic's etf expected returns. We can calculate the autocorrelation of Fidelity Systematic returns to help us make a trade decision. For example, suppose you find that Fidelity Systematic 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 Systematic 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 Systematic etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Systematic etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Systematic etf over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Systematic Lagged Returns
When evaluating Fidelity Systematic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Systematic etf have on its future price. Fidelity Systematic 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 Systematic autocorrelation shows the relationship between Fidelity Systematic etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Systematic Municipal.
Regressed Prices |
| Timeline |
Pair Trading with Fidelity Systematic
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 Systematic 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 Systematic will appreciate offsetting losses from the drop in the long position's value.Moving together with Fidelity Etf
| 0.95 | MUB | iShares National Muni | PairCorr |
| 0.96 | VTEB | Vanguard Tax Exempt | PairCorr |
| 0.95 | FMB | First Trust Managed | PairCorr |
| 0.96 | ITM | VanEck Intermediate Muni | PairCorr |
| 0.94 | DFNM | Dimensional ETF Trust | PairCorr |
The ability to find closely correlated positions to Fidelity Systematic 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 Systematic 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 Systematic - 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 Systematic Municipal to buy it.
The correlation of Fidelity Systematic 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 Systematic moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Fidelity Systematic 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 Systematic 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.Check out Fidelity Systematic Correlation, Fidelity Systematic Volatility and Fidelity Systematic Alpha and Beta module to complement your research on Fidelity Systematic. You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Fidelity Systematic 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.