Fis Trust Etf Market Value
| PRAY Etf | USD 32.73 0.18 0.55% |
| Symbol | FIS |
The market value of FIS Trust is measured differently than its book value, which is the value of FIS that is recorded on the company's balance sheet. Investors also form their own opinion of FIS Trust's value that differs from its market value or its book value, called intrinsic value, which is FIS Trust'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 FIS Trust's market value can be influenced by many factors that don't directly affect FIS Trust'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 FIS Trust's value and its price as these two are different measures arrived at by different means. Investors typically determine if FIS Trust is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, FIS Trust'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.
FIS Trust '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 FIS Trust'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 FIS Trust.
| 07/28/2024 |
| 01/19/2026 |
If you would invest 0.00 in FIS Trust on July 28, 2024 and sell it all today you would earn a total of 0.00 from holding FIS Trust or generate 0.0% return on investment in FIS Trust over 540 days. FIS Trust is related to or competes with AdvisorShares STAR, Managed Portfolio, ProShares, Allianzim Large, 3D Printing, AIM ETF, and Invesco SP. Under normal circumstances, the fund invests in equity securities, including common stock and American Depositary Receip... More
FIS Trust 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 FIS Trust'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 FIS Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6603 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 2.88 | |||
| Value At Risk | (1.12) | |||
| Potential Upside | 1.12 |
FIS Trust Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for FIS Trust's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as FIS Trust's standard deviation. In reality, there are many statistical measures that can use FIS Trust historical prices to predict the future FIS Trust's volatility.| Risk Adjusted Performance | 0.0915 | |||
| Jensen Alpha | 0.0051 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0968 |
FIS Trust Backtested Returns
At this stage we consider FIS Etf to be very steady. FIS Trust secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the etf had a 0.12 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for FIS Trust, which you can use to evaluate the volatility of the entity. Please confirm FIS Trust's Downside Deviation of 0.6603, mean deviation of 0.5236, and Market Risk Adjusted Performance of 0.1068 to check if the risk estimate we provide is consistent with the expected return of 0.0771%. The etf shows a Beta (market volatility) of 0.79, which means possible diversification benefits within a given portfolio. As returns on the market increase, FIS Trust's returns are expected to increase less than the market. However, during the bear market, the loss of holding FIS Trust is expected to be smaller as well.
Auto-correlation | 0.05 |
Virtually no predictability
FIS Trust has virtually no predictability. Overlapping area represents the amount of predictability between FIS Trust time series from 28th of July 2024 to 24th of April 2025 and 24th of April 2025 to 19th 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 FIS Trust price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current FIS Trust price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 1.0 |
FIS Trust lagged returns against current returns
Autocorrelation, which is FIS Trust 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 FIS Trust's etf expected returns. We can calculate the autocorrelation of FIS Trust returns to help us make a trade decision. For example, suppose you find that FIS Trust 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 |
FIS Trust 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 FIS Trust etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if FIS Trust etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in FIS Trust etf over time.
Current vs Lagged Prices |
| Timeline |
FIS Trust Lagged Returns
When evaluating FIS Trust's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of FIS Trust etf have on its future price. FIS Trust 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, FIS Trust autocorrelation shows the relationship between FIS Trust etf current value and its past values and can show if there is a momentum factor associated with investing in FIS Trust.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether FIS Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of FIS Trust's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Fis Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Fis Trust Etf:Check out FIS Trust Correlation, FIS Trust Volatility and FIS Trust Alpha and Beta module to complement your research on FIS Trust. You can also try the Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.
FIS Trust 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.