Etfis Series Trust Etf Market Value
| PFFR Etf | USD 19.08 0.09 0.47% |
| Symbol | ETFis |
The market value of ETFis Series Trust is measured differently than its book value, which is the value of ETFis that is recorded on the company's balance sheet. Investors also form their own opinion of ETFis Series' value that differs from its market value or its book value, called intrinsic value, which is ETFis Series' 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 ETFis Series' market value can be influenced by many factors that don't directly affect ETFis Series' 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 ETFis Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if ETFis Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETFis Series' 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.
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.
| 12/05/2022 |
| 11/24/2024 |
If you would invest 0.00 in ETFis Series on December 5, 2022 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 720 days. ETFis Series is related to or competes with Virtus InfraCap, VanEck Preferred, Global X, Innovator, and Global X. 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 | 0.5035 | |||
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 2.63 | |||
| Value At Risk | (0.61) | |||
| Potential Upside | 0.7459 |
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 | 0.0763 | |||
| Jensen Alpha | 0.0118 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.16) | |||
| Treynor Ratio | 0.1726 |
ETFis Series Trust Backtested Returns
Currently, ETFis Series Trust is very steady. ETFis Series Trust secures Sharpe Ratio (or Efficiency) of 0.0962, which denotes the etf had a 0.0962% return per unit of return volatility over the last 3 months. We have found thirty technical indicators for ETFis Series Trust, which you can use to evaluate the volatility of the entity. Please confirm ETFis Series' downside deviation of 0.5035, and Mean Deviation of 0.3445 to check if the risk estimate we provide is consistent with the expected return of 0.0435%. The etf shows a Beta (market volatility) of 0.23, 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 | 0.34 |
Below average predictability
ETFis Series Trust has below average predictability. Overlapping area represents the amount of predictability between ETFis Series time series from 5th of December 2022 to 30th of November 2023 and 30th of November 2023 to 24th 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 ETFis Series Trust price movement. The serial correlation of 0.34 indicates that nearly 34.0% of current ETFis Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.34 | |
| Spearman Rank Test | 0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.76 |
ETFis Series Trust lagged returns against current returns
Autocorrelation, which is ETFis Series 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 ETFis Series' etf expected returns. We can calculate the autocorrelation of ETFis Series returns to help us make a trade decision. For example, suppose you find that ETFis Series 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 |
ETFis Series 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 ETFis Series etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETFis Series etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETFis Series etf over time.
Current vs Lagged Prices |
| Timeline |
ETFis Series Lagged Returns
When evaluating ETFis Series' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETFis Series etf have on its future price. ETFis Series 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, ETFis Series autocorrelation shows the relationship between ETFis Series etf current value and its past values and can show if there is a momentum factor associated with investing in ETFis Series Trust.
Regressed Prices |
| Timeline |
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
| 0.95 | PFF | iShares Preferred | PairCorr |
| 0.94 | FPE | First Trust Preferred Sell-off Trend | PairCorr |
| 0.88 | PGX | Invesco Preferred ETF | PairCorr |
| 0.93 | PFFD | Global X Preferred | PairCorr |
| 0.74 | VRP | Invesco Variable Rate | PairCorr |
Moving against ETFis Etf
| 0.79 | HUM | Humana Inc Fiscal Year End 23rd of January 2025 | 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 Alpha and Beta module to complement your research on ETFis Series. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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.