Victoryshares Emerging Markets Etf Market Value
| UEVM Etf | USD 47.06 0.18 0.38% |
| Symbol | VictoryShares |
The market value of VictoryShares Emerging 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 Emerging's value that differs from its market value or its book value, called intrinsic value, which is VictoryShares Emerging'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 Emerging's market value can be influenced by many factors that don't directly affect VictoryShares Emerging'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 Emerging's value and its price as these two are different measures arrived at by different means. Investors typically determine if VictoryShares Emerging is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VictoryShares Emerging'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 Emerging '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 Emerging'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 Emerging.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in VictoryShares Emerging on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding VictoryShares Emerging Markets or generate 0.0% return on investment in VictoryShares Emerging over 30 days. VictoryShares Emerging is related to or competes with VictoryShares International, VictoryShares Small, VictoryShares Value, VictoryShares USAA, and VictoryShares USAA. The fund invests at least 80 percent of its assets in securities in the index, depositary receipts on securities in the ... More
VictoryShares Emerging 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 Emerging'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 Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.3 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 8.09 | |||
| Value At Risk | (1.96) | |||
| Potential Upside | 2.31 |
VictoryShares Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for VictoryShares Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VictoryShares Emerging's standard deviation. In reality, there are many statistical measures that can use VictoryShares Emerging historical prices to predict the future VictoryShares Emerging's volatility.| Risk Adjusted Performance | 0.0188 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.15) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0347 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of VictoryShares Emerging's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
VictoryShares Emerging Backtested Returns
As of now, VictoryShares Etf is very steady. VictoryShares Emerging owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0065, which indicates the etf had a 0.0065% return per unit of risk over the last 3 months. We have found thirty technical indicators for VictoryShares Emerging Markets, which you can use to evaluate the volatility of the etf. Please validate VictoryShares Emerging's Semi Deviation of 1.25, coefficient of variation of 5122.25, and Risk Adjusted Performance of 0.0188 to confirm if the risk estimate we provide is consistent with the expected return of 0.0082%. The entity has a beta of 0.42, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, VictoryShares Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding VictoryShares Emerging is expected to be smaller as well.
Auto-correlation | 0.21 |
Weak predictability
VictoryShares Emerging Markets has weak predictability. Overlapping area represents the amount of predictability between VictoryShares Emerging time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 Emerging price movement. The serial correlation of 0.21 indicates that over 21.0% of current VictoryShares Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | -0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
VictoryShares Emerging lagged returns against current returns
Autocorrelation, which is VictoryShares Emerging 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 Emerging's etf expected returns. We can calculate the autocorrelation of VictoryShares Emerging returns to help us make a trade decision. For example, suppose you find that VictoryShares Emerging 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 Emerging 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 Emerging etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VictoryShares Emerging etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VictoryShares Emerging etf over time.
Current vs Lagged Prices |
| Timeline |
VictoryShares Emerging Lagged Returns
When evaluating VictoryShares Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VictoryShares Emerging etf have on its future price. VictoryShares Emerging 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 Emerging autocorrelation shows the relationship between VictoryShares Emerging etf current value and its past values and can show if there is a momentum factor associated with investing in VictoryShares Emerging Markets.
Regressed Prices |
| Timeline |
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VictoryShares Emerging 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.