Victoryshares Free Cash Etf Market Value
| VFLO Etf | 36.61 0.12 0.33% |
| Symbol | VictoryShares |
The market value of VictoryShares Free Cash is measured differently than its book value, which is the value of VictoryShares that is recorded on the company's balance sheet. Investors also form their own opinion of VictoryShares Free's value that differs from its market value or its book value, called intrinsic value, which is VictoryShares Free'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 VictoryShares Free's market value can be influenced by many factors that don't directly affect VictoryShares Free'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 VictoryShares Free's value and its price as these two are different measures arrived at by different means. Investors typically determine if VictoryShares Free is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VictoryShares Free'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.
VictoryShares Free '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 VictoryShares Free'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 VictoryShares Free.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in VictoryShares Free on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding VictoryShares Free Cash or generate 0.0% return on investment in VictoryShares Free over 180 days. VictoryShares Free is related to or competes with IShares Core, IShares Core, IShares Broad, IShares Core, and IShares Core. VictoryShares Free is entity of United States More
VictoryShares Free 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 VictoryShares Free'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 VictoryShares Free Cash upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6903 | |||
| Information Ratio | 0.0391 | |||
| Maximum Drawdown | 3.72 | |||
| Value At Risk | (1.08) | |||
| Potential Upside | 1.34 |
VictoryShares Free Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for VictoryShares Free's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VictoryShares Free's standard deviation. In reality, there are many statistical measures that can use VictoryShares Free historical prices to predict the future VictoryShares Free's volatility.| Risk Adjusted Performance | 0.1618 | |||
| Jensen Alpha | 0.0599 | |||
| Total Risk Alpha | 0.0253 | |||
| Sortino Ratio | 0.0453 | |||
| Treynor Ratio | 0.2049 |
VictoryShares Free Cash Backtested Returns
As of now, VictoryShares Etf is very steady. VictoryShares Free Cash owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.24, which indicates the etf had a 0.24% return per unit of risk over the last 3 months. We have found thirty technical indicators for VictoryShares Free Cash, which you can use to evaluate the volatility of the etf. Please validate VictoryShares Free's Semi Deviation of 0.4812, coefficient of variation of 473.84, and Risk Adjusted Performance of 0.1618 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. The entity has a beta of 0.78, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, VictoryShares Free's returns are expected to increase less than the market. However, during the bear market, the loss of holding VictoryShares Free is expected to be smaller as well.
Auto-correlation | 0.65 |
Good predictability
VictoryShares Free Cash has good predictability. Overlapping area represents the amount of predictability between VictoryShares Free time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th 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 VictoryShares Free Cash price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current VictoryShares Free price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 1.95 |
VictoryShares Free Cash lagged returns against current returns
Autocorrelation, which is VictoryShares Free 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 VictoryShares Free's etf expected returns. We can calculate the autocorrelation of VictoryShares Free returns to help us make a trade decision. For example, suppose you find that VictoryShares Free 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 |
VictoryShares Free 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 VictoryShares Free etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VictoryShares Free etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VictoryShares Free etf over time.
Current vs Lagged Prices |
| Timeline |
VictoryShares Free Lagged Returns
When evaluating VictoryShares Free's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VictoryShares Free etf have on its future price. VictoryShares Free 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, VictoryShares Free autocorrelation shows the relationship between VictoryShares Free etf current value and its past values and can show if there is a momentum factor associated with investing in VictoryShares Free Cash.
Regressed Prices |
| Timeline |
Pair Trading with VictoryShares Free
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 VictoryShares Free 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 VictoryShares Free will appreciate offsetting losses from the drop in the long position's value.Moving together with VictoryShares Etf
| 0.91 | VTV | Vanguard Value Index | PairCorr |
| 0.91 | VYM | Vanguard High Dividend | PairCorr |
| 0.94 | IWD | iShares Russell 1000 | PairCorr |
| 0.87 | DGRO | iShares Core Dividend | PairCorr |
| 0.93 | IVE | iShares SP 500 | PairCorr |
The ability to find closely correlated positions to VictoryShares Free could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace VictoryShares Free 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 VictoryShares Free - 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 VictoryShares Free Cash to buy it.
The correlation of VictoryShares Free 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 VictoryShares Free moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if VictoryShares Free Cash 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 VictoryShares Free 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 VictoryShares Free Correlation, VictoryShares Free Volatility and VictoryShares Free Alpha and Beta module to complement your research on VictoryShares Free. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
VictoryShares Free 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.