Fidelity Msci Financials Etf Market Value
| FNCL Etf | USD 76.47 0.78 1.03% |
| Symbol | Fidelity |
Understanding Fidelity MSCI Financials requires distinguishing between market price and book value, where the latter reflects Fidelity's accounting equity. The concept of intrinsic value—what Fidelity MSCI's is actually worth based on fundamentals—guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push Fidelity MSCI's price substantially above or below its fundamental value.
Please note, there is a significant difference between Fidelity MSCI's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fidelity MSCI is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. In contrast, Fidelity MSCI's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Fidelity MSCI '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 MSCI'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 MSCI.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Fidelity MSCI on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Fidelity MSCI Financials or generate 0.0% return on investment in Fidelity MSCI over 90 days. Fidelity MSCI is related to or competes with Fidelity MSCI, Fidelity MSCI, Fidelity MSCI, IShares MSCI, Fidelity MSCI, SPDR SP, and Xtrackers Harvest. The fund invests at least 80 percent of assets in securities included in the funds underlying index More
Fidelity MSCI 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 MSCI'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 MSCI Financials upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9049 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 4.36 | |||
| Value At Risk | (1.70) | |||
| Potential Upside | 1.36 |
Fidelity MSCI Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fidelity MSCI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fidelity MSCI's standard deviation. In reality, there are many statistical measures that can use Fidelity MSCI historical prices to predict the future Fidelity MSCI's volatility.| Risk Adjusted Performance | 0.0297 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0237 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Fidelity MSCI'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 MSCI January 29, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0297 | |||
| Market Risk Adjusted Performance | 0.0337 | |||
| Mean Deviation | 0.677 | |||
| Semi Deviation | 0.8714 | |||
| Downside Deviation | 0.9049 | |||
| Coefficient Of Variation | 2626.01 | |||
| Standard Deviation | 0.8879 | |||
| Variance | 0.7883 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0237 | |||
| Maximum Drawdown | 4.36 | |||
| Value At Risk | (1.70) | |||
| Potential Upside | 1.36 | |||
| Downside Variance | 0.8189 | |||
| Semi Variance | 0.7593 | |||
| Expected Short fall | (0.73) | |||
| Skewness | (0.23) | |||
| Kurtosis | 0.3461 |
Fidelity MSCI Financials Backtested Returns
As of now, Fidelity Etf is very steady. Fidelity MSCI Financials secures Sharpe Ratio (or Efficiency) of 0.0488, which denotes the etf had a 0.0488 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Fidelity MSCI Financials, which you can use to evaluate the volatility of the entity. Please confirm Fidelity MSCI's Coefficient Of Variation of 2626.01, downside deviation of 0.9049, and Mean Deviation of 0.677 to check if the risk estimate we provide is consistent with the expected return of 0.0433%. The etf shows a Beta (market volatility) of 1.01, which means a somewhat significant risk relative to the market. Fidelity MSCI returns are very sensitive to returns on the market. As the market goes up or down, Fidelity MSCI is expected to follow.
Auto-correlation | -0.7 |
Very good reverse predictability
Fidelity MSCI Financials has very good reverse predictability. Overlapping area represents the amount of predictability between Fidelity MSCI time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 MSCI Financials price movement. The serial correlation of -0.7 indicates that around 70.0% of current Fidelity MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.7 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 1.53 |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetCheck out Fidelity MSCI Correlation, Fidelity MSCI Volatility and Fidelity MSCI Alpha and Beta module to complement your research on Fidelity MSCI. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Fidelity MSCI 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.