Fidelity Msci Financials Etf Market Value
| FNCL Etf | USD 72.47 0.79 1.10% |
| Symbol | Fidelity |
The market value of Fidelity MSCI Financials 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 MSCI's value that differs from its market value or its book value, called intrinsic value, which is Fidelity MSCI'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 MSCI's market value can be influenced by many factors that don't directly affect Fidelity MSCI'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 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. However, Fidelity MSCI'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 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.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Fidelity MSCI on October 26, 2024 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 30 days. Fidelity MSCI is related to or competes with UBS AG, UBS AG, ETRACS Quarterly, and ETRACS 2xMonthly. 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 | 0.8104 | |||
| Information Ratio | 0.1041 | |||
| Maximum Drawdown | 8.31 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.77 |
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 | 0.1688 | |||
| Jensen Alpha | 0.0835 | |||
| Total Risk Alpha | 0.0582 | |||
| Sortino Ratio | 0.1507 | |||
| Treynor Ratio | 0.1841 |
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 Financials Backtested Returns
Fidelity MSCI appears to be very steady, given 3 months investment horizon. Fidelity MSCI Financials secures Sharpe Ratio (or Efficiency) of 0.2, which denotes the etf had a 0.2% return per unit of risk over the last 3 months. We have found thirty technical indicators for Fidelity MSCI Financials, which you can use to evaluate the volatility of the entity. Please utilize Fidelity MSCI's Coefficient Of Variation of 463.88, mean deviation of 0.7818, and Downside Deviation of 0.8104 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 1.32, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Fidelity MSCI will likely underperform.
Auto-correlation | 0.64 |
Good predictability
Fidelity MSCI Financials has good predictability. Overlapping area represents the amount of predictability between Fidelity MSCI time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 MSCI Financials price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current Fidelity MSCI price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.36 |
Fidelity MSCI Financials lagged returns against current returns
Autocorrelation, which is Fidelity MSCI 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 MSCI's etf expected returns. We can calculate the autocorrelation of Fidelity MSCI returns to help us make a trade decision. For example, suppose you find that Fidelity MSCI 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 MSCI 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 MSCI etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fidelity MSCI etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fidelity MSCI etf over time.
Current vs Lagged Prices |
| Timeline |
Fidelity MSCI Lagged Returns
When evaluating Fidelity MSCI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fidelity MSCI etf have on its future price. Fidelity MSCI 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 MSCI autocorrelation shows the relationship between Fidelity MSCI etf current value and its past values and can show if there is a momentum factor associated with investing in Fidelity MSCI Financials.
Regressed Prices |
| Timeline |
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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.