Virtus Etf Trust Etf Market Value
| VSHY Etf | 21.90 0.02 0.09% |
| 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.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Virtus ETF on October 26, 2024 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 30 days. Virtus ETF is related to or competes with BondBloxx ETF, Virtus ETF, Ocean Park, IShares JP, Columbia ETF, Morgan Stanley, and Nuveen ESG. 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.
| Downside Deviation | 0.2138 | |||
| Information Ratio | (0.44) | |||
| Maximum Drawdown | 1.16 | |||
| Value At Risk | (0.28) | |||
| Potential Upside | 0.3699 |
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 | 0.0938 | |||
| Jensen Alpha | 0.0087 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.45) | |||
| Treynor Ratio | 0.1904 |
Virtus ETF Trust Backtested Returns
At this stage we consider Virtus Etf to be very steady. Virtus ETF Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the etf had a 0.13% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Virtus ETF Trust, which you can use to evaluate the volatility of the etf. Please validate Virtus ETF's Downside Deviation of 0.2138, risk adjusted performance of 0.0938, and Standard Deviation of 0.218 to confirm if the risk estimate we provide is consistent with the expected return of 0.0268%. The entity has a beta of 0.13, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Virtus ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Virtus ETF is expected to be smaller as well.
Auto-correlation | 0.70 |
Good predictability
Virtus ETF Trust has good predictability. Overlapping area represents the amount of predictability between Virtus ETF 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 Virtus ETF Trust price movement. The serial correlation of 0.7 indicates that around 70.0% of current Virtus ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.78 | |
| 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 |
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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 |
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 Virtus ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Virtus ETF'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 Virtus Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Virtus Etf Trust Etf:Check out Virtus ETF Correlation, Virtus ETF Volatility and Virtus ETF Alpha and Beta module to complement your research on Virtus ETF. For more information on how to buy Virtus Etf please use our How to Invest in Virtus ETF guide.You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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.