Victoryshares Westend Sector Etf Market Value
| MODL Etf | USD 41.15 0.27 0.66% |
| Symbol | VictoryShares |
The market value of VictoryShares WestEnd 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 WestEnd's value that differs from its market value or its book value, called intrinsic value, which is VictoryShares WestEnd'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 WestEnd's market value can be influenced by many factors that don't directly affect VictoryShares WestEnd'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 WestEnd's value and its price as these two are different measures arrived at by different means. Investors typically determine if VictoryShares WestEnd is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, VictoryShares WestEnd'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 WestEnd '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 WestEnd'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 WestEnd.
| 08/29/2024 |
| 11/27/2024 |
If you would invest 0.00 in VictoryShares WestEnd on August 29, 2024 and sell it all today you would earn a total of 0.00 from holding VictoryShares WestEnd Sector or generate 0.0% return on investment in VictoryShares WestEnd over 90 days. VictoryShares WestEnd is related to or competes with First Trust, VictoryShares Multi, First Trust, VictoryShares USAA, and VictoryShares Dividend. The fund, under normal circumstances, invests at least 80 percent of its assets in the shares of ETFs that primarily inv... More
VictoryShares WestEnd 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 WestEnd'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 WestEnd Sector upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7223 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.64 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.01 |
VictoryShares WestEnd Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for VictoryShares WestEnd's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VictoryShares WestEnd's standard deviation. In reality, there are many statistical measures that can use VictoryShares WestEnd historical prices to predict the future VictoryShares WestEnd's volatility.| Risk Adjusted Performance | 0.1276 | |||
| Jensen Alpha | 0.0996 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 1.65 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of VictoryShares WestEnd'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 WestEnd Backtested Returns
As of now, VictoryShares Etf is out of control. VictoryShares WestEnd owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.17, which indicates the etf had a 0.17% return per unit of risk over the last 3 months. We have found thirty technical indicators for VictoryShares WestEnd Sector, which you can use to evaluate the volatility of the etf. Please validate VictoryShares WestEnd's Semi Deviation of 0.5363, risk adjusted performance of 0.1276, and Coefficient Of Variation of 594.53 to confirm if the risk estimate we provide is consistent with the expected return of 0.12%. The entity has a beta of 0.0653, which indicates not very significant fluctuations relative to the market. As returns on the market increase, VictoryShares WestEnd's returns are expected to increase less than the market. However, during the bear market, the loss of holding VictoryShares WestEnd is expected to be smaller as well.
Auto-correlation | 0.53 |
Modest predictability
VictoryShares WestEnd Sector has modest predictability. Overlapping area represents the amount of predictability between VictoryShares WestEnd time series from 29th of August 2024 to 13th of October 2024 and 13th of October 2024 to 27th 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 WestEnd price movement. The serial correlation of 0.53 indicates that about 53.0% of current VictoryShares WestEnd price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.53 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.33 |
VictoryShares WestEnd lagged returns against current returns
Autocorrelation, which is VictoryShares WestEnd 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 WestEnd's etf expected returns. We can calculate the autocorrelation of VictoryShares WestEnd returns to help us make a trade decision. For example, suppose you find that VictoryShares WestEnd 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 WestEnd 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 WestEnd etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VictoryShares WestEnd etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VictoryShares WestEnd etf over time.
Current vs Lagged Prices |
| Timeline |
VictoryShares WestEnd Lagged Returns
When evaluating VictoryShares WestEnd's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of VictoryShares WestEnd etf have on its future price. VictoryShares WestEnd 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 WestEnd autocorrelation shows the relationship between VictoryShares WestEnd etf current value and its past values and can show if there is a momentum factor associated with investing in VictoryShares WestEnd Sector.
Regressed Prices |
| Timeline |
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VictoryShares WestEnd 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.