Virtus Etf Trust Etf Market Value
| PCLO Etf | 25.08 0.01 0.04% |
| Symbol | Virtus |
The market value of Virtus ETF Trust is measured differently than its book value, which is the value of Virtus that is recorded on the company's balance sheet. Investors also form their own opinion of Virtus ETF's value that differs from its market value or its book value, called intrinsic value, which is Virtus ETF'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 Virtus ETF's market value can be influenced by many factors that don't directly affect Virtus ETF'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 Virtus ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Virtus ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Virtus ETF'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.
Virtus ETF '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 Virtus ETF'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 Virtus ETF.
| 12/24/2022 |
| 12/13/2024 |
If you would invest 0.00 in Virtus ETF on December 24, 2022 and sell it all today you would earn a total of 0.00 from holding Virtus ETF Trust or generate 0.0% return on investment in Virtus ETF over 720 days. Virtus ETF is related to or competes with IShares Treasury, SPDR Bloomberg, SPDR Barclays, and SPDR Bloomberg. Virtus ETF is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
Virtus ETF 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 Virtus ETF'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 Virtus ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (2.31) | |||
| Maximum Drawdown | 0.0799 | |||
| Potential Upside | 0.0799 |
Virtus ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Virtus ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Virtus ETF's standard deviation. In reality, there are many statistical measures that can use Virtus ETF historical prices to predict the future Virtus ETF's volatility.| Risk Adjusted Performance | 0.4193 | |||
| Total Risk Alpha | 0.015 |
Virtus ETF Trust Backtested Returns
Virtus ETF is out of control given 3 months investment horizon. Virtus ETF Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.33, which indicates the etf had a 0.33% return per unit of risk over the last 3 months. We were able to break down and interpolate nineteen different technical indicators, which can help you to evaluate if expected returns of 111.14% are justified by taking the suggested risk. Use Virtus ETF Trust Risk Adjusted Performance of 0.4193, standard deviation of 0.0354, and Information Ratio of (2.31) to evaluate company specific risk that cannot be diversified away. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Virtus ETF are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Virtus ETF Trust has no correlation between past and present. Overlapping area represents the amount of predictability between Virtus ETF time series from 24th of December 2022 to 19th of December 2023 and 19th of December 2023 to 13th of December 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 Virtus ETF Trust price movement. The serial correlation of 0.0 indicates that just 0.0% of current Virtus ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Virtus ETF Trust lagged returns against current returns
Autocorrelation, which is Virtus ETF 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 Virtus ETF's etf expected returns. We can calculate the autocorrelation of Virtus ETF returns to help us make a trade decision. For example, suppose you find that Virtus ETF 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 |
Virtus ETF 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 Virtus ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Virtus ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Virtus ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Virtus ETF Lagged Returns
When evaluating Virtus ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Virtus ETF etf have on its future price. Virtus ETF 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, Virtus ETF autocorrelation shows the relationship between Virtus ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Virtus ETF Trust.
Regressed Prices |
| Timeline |
Pair Trading with Virtus ETF
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 Virtus ETF 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 Virtus ETF will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Virtus ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Virtus ETF 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 Virtus ETF - 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 Virtus ETF Trust to buy it.
The correlation of Virtus ETF 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 Virtus ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Virtus ETF 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 Virtus ETF 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 Virtus ETF Correlation, Virtus ETF Volatility and Virtus ETF Alpha and Beta module to complement your research on Virtus ETF. To learn how to invest in Virtus Etf, please use our How to Invest in Virtus ETF guide.You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Virtus ETF 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.