Etfis Series Trust Etf Market Value
| PFFR Etf | USD 18.16 0.02 0.11% |
| Symbol | ETFis |
Investors evaluate ETFis Series Trust using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating ETFis Series' intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause ETFis Series' market price to deviate significantly from intrinsic value.
It's important to distinguish between ETFis Series' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding ETFis Series should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, ETFis Series' market price signifies the transaction level at which participants voluntarily complete trades.
ETFis Series '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 ETFis Series' 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 ETFis Series.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in ETFis Series on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding ETFis Series Trust or generate 0.0% return on investment in ETFis Series over 90 days. ETFis Series is related to or competes with IShares SP, IShares Thematic, IShares Biotechnology, Materials Select, Vanguard Communication, Vanguard, and Alpha Architect. Under normal market conditions, the fund will invest not less than 90 percent of its assets in component securities of t... More
ETFis Series 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 ETFis Series' 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 ETFis Series Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3991 | |||
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 1.89 | |||
| Value At Risk | (0.61) | |||
| Potential Upside | 0.6623 |
ETFis Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ETFis Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETFis Series' standard deviation. In reality, there are many statistical measures that can use ETFis Series historical prices to predict the future ETFis Series' volatility.| Risk Adjusted Performance | 0.0203 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.0275 |
ETFis Series February 15, 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 | 0.0203 | |||
| Market Risk Adjusted Performance | 0.0375 | |||
| Mean Deviation | 0.3135 | |||
| Semi Deviation | 0.347 | |||
| Downside Deviation | 0.3991 | |||
| Coefficient Of Variation | 2618.19 | |||
| Standard Deviation | 0.393 | |||
| Variance | 0.1545 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.14) | |||
| Treynor Ratio | 0.0275 | |||
| Maximum Drawdown | 1.89 | |||
| Value At Risk | (0.61) | |||
| Potential Upside | 0.6623 | |||
| Downside Variance | 0.1593 | |||
| Semi Variance | 0.1204 | |||
| Expected Short fall | (0.35) | |||
| Skewness | 0.0776 | |||
| Kurtosis | (0.11) |
ETFis Series Trust Backtested Returns
Currently, ETFis Series Trust is very steady. ETFis Series Trust secures Sharpe Ratio (or Efficiency) of 0.0769, which denotes the etf had a 0.0769 % return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for ETFis Series Trust, which you can use to evaluate the volatility of the entity. Please confirm ETFis Series' downside deviation of 0.3991, and Mean Deviation of 0.3135 to check if the risk estimate we provide is consistent with the expected return of 0.0294%. The etf shows a Beta (market volatility) of 0.18, which means not very significant fluctuations relative to the market. As returns on the market increase, ETFis Series' returns are expected to increase less than the market. However, during the bear market, the loss of holding ETFis Series is expected to be smaller as well.
Auto-correlation | 0.59 |
Modest predictability
ETFis Series Trust has modest predictability. Overlapping area represents the amount of predictability between ETFis Series time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th of February 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 ETFis Series Trust price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current ETFis Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Pair Trading with ETFis Series
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 ETFis Series 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 ETFis Series will appreciate offsetting losses from the drop in the long position's value.Moving together with ETFis Etf
| 0.91 | PFF | iShares Preferred | PairCorr |
| 0.9 | FPE | First Trust Preferred | PairCorr |
| 0.89 | PGX | Invesco Preferred ETF | PairCorr |
| 0.91 | PFFD | Global X Preferred | PairCorr |
| 0.86 | VRP | Invesco Variable Rate | PairCorr |
The ability to find closely correlated positions to ETFis Series could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ETFis Series 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 ETFis Series - 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 ETFis Series Trust to buy it.
The correlation of ETFis Series 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 ETFis Series moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ETFis Series Trust 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 ETFis Series 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 ETFis Series Correlation, ETFis Series Volatility and ETFis Series Performance module to complement your research on ETFis Series. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
ETFis Series 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.