Fidelity Value Factor Etf Market Value
| FVAL Etf | USD 58.79 0.77 1.29% |
| Symbol | Fidelity |
The market value of Fidelity Value Factor 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 Value's value that differs from its market value or its book value, called intrinsic value, which is Fidelity Value'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 Value's market value can be influenced by many factors that don't directly affect Fidelity Value'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 Value's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity Value is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fidelity Value'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 Value '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 Value'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 Value.
| 02/12/2025 |
| 03/14/2025 |
If you would invest 0.00 in Fidelity Value on February 12, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity Value Factor or generate 0.0% return on investment in Fidelity Value over 30 days. Fidelity Value is related to or competes with Fidelity Quality, Fidelity Momentum, Fidelity Low, Fidelity Dividend, and Fidelity High. The fund normally invests at least 80 percent of assets in securities included in the Fidelity U.S More
Fidelity Value 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 Value'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 Value Factor upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0095 | |||
| Maximum Drawdown | 4.21 | |||
| Value At Risk | (1.56) | |||
| Potential Upside | 1.16 |
Fidelity Value Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity Value's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity Value's standard deviation. In reality, there are many statistical measures that can use Fidelity Value historical prices to predict the future Fidelity Value's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | 0.0121 | |||
| Treynor Ratio | (0.16) |
Fidelity Value Factor Backtested Returns
Fidelity Value Factor 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. Fidelity Value Factor exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Fidelity Value's Variance of 0.7356, mean deviation of 0.6573, and Standard Deviation of 0.8577 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.74, which means possible diversification benefits within a given portfolio. As returns on the market increase, Fidelity Value's returns are expected to increase less than the market. However, during the bear market, the loss of holding Fidelity Value is expected to be smaller as well.
Auto-correlation | 0.70 |
Good predictability
Fidelity Value Factor has good predictability. Overlapping area represents the amount of predictability between Fidelity Value time series from 12th of February 2025 to 27th of February 2025 and 27th of February 2025 to 14th of March 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 Value Factor price movement. The serial correlation of 0.7 indicates that around 70.0% of current Fidelity Value price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 1.46 |
Fidelity Value Factor lagged returns against current returns
Autocorrelation, which is Fidelity Value 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 Value's etf expected returns. We can calculate the autocorrelation of Fidelity Value returns to help us make a trade decision. For example, suppose you find that Fidelity Value 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 Value 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 Value etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity Value etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity Value etf over time.
Current vs Lagged Prices |
| Timeline |
Fidelity Value Lagged Returns
When evaluating Fidelity Value's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity Value etf have on its future price. Fidelity Value 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 Value autocorrelation shows the relationship between Fidelity Value etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity Value Factor.
Regressed Prices |
| Timeline |
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Fidelity Value 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.