Xtrackers Russell Multifactor Etf Market Value
| DEUS Etf | USD 57.46 0.46 0.81% |
| Symbol | Xtrackers |
The market value of Xtrackers Russell is measured differently than its book value, which is the value of Xtrackers that is recorded on the company's balance sheet. Investors also form their own opinion of Xtrackers Russell's value that differs from its market value or its book value, called intrinsic value, which is Xtrackers Russell'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 Xtrackers Russell's market value can be influenced by many factors that don't directly affect Xtrackers Russell'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 Xtrackers Russell's value and its price as these two are different measures arrived at by different means. Investors typically determine if Xtrackers Russell is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Xtrackers Russell'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.
Xtrackers Russell '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 Xtrackers Russell'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 Xtrackers Russell.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Xtrackers Russell on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Xtrackers Russell Multifactor or generate 0.0% return on investment in Xtrackers Russell over 30 days. Xtrackers Russell is related to or competes with Vanguard Mid, Vanguard Extended, IShares Core, IShares Russell, SPDR SP, First Trust, and Vanguard. The fund, using a passive or indexing investment approach, seeks investment results that correspond generally to the per... More
Xtrackers Russell 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 Xtrackers Russell'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 Xtrackers Russell Multifactor upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.628 | |||
| Information Ratio | 0.0034 | |||
| Maximum Drawdown | 3.94 | |||
| Value At Risk | (0.97) | |||
| Potential Upside | 1.42 |
Xtrackers Russell Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xtrackers Russell's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xtrackers Russell's standard deviation. In reality, there are many statistical measures that can use Xtrackers Russell historical prices to predict the future Xtrackers Russell's volatility.| Risk Adjusted Performance | 0.1345 | |||
| Jensen Alpha | 0.013 | |||
| Total Risk Alpha | 0.0037 | |||
| Sortino Ratio | 0.0041 | |||
| Treynor Ratio | 0.135 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xtrackers Russell'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.
Xtrackers Russell Backtested Returns
Currently, Xtrackers Russell Multifactor is very steady. Xtrackers Russell shows Sharpe Ratio of 0.15, which attests that the etf had a 0.15% return per unit of risk over the last 3 months. We have found thirty technical indicators for Xtrackers Russell, which you can use to evaluate the volatility of the etf. Please check out Xtrackers Russell's Market Risk Adjusted Performance of 0.145, mean deviation of 0.5894, and Downside Deviation of 0.628 to validate if the risk estimate we provide is consistent with the expected return of 0.11%. The entity maintains a market beta of 0.91, which attests to possible diversification benefits within a given portfolio. Xtrackers Russell returns are very sensitive to returns on the market. As the market goes up or down, Xtrackers Russell is expected to follow.
Auto-correlation | 0.74 |
Good predictability
Xtrackers Russell Multifactor has good predictability. Overlapping area represents the amount of predictability between Xtrackers Russell 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 Xtrackers Russell price movement. The serial correlation of 0.74 indicates that around 74.0% of current Xtrackers Russell price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.35 |
Xtrackers Russell lagged returns against current returns
Autocorrelation, which is Xtrackers Russell 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 Xtrackers Russell's etf expected returns. We can calculate the autocorrelation of Xtrackers Russell returns to help us make a trade decision. For example, suppose you find that Xtrackers Russell 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 |
Xtrackers Russell 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 Xtrackers Russell etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xtrackers Russell etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xtrackers Russell etf over time.
Current vs Lagged Prices |
| Timeline |
Xtrackers Russell Lagged Returns
When evaluating Xtrackers Russell's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xtrackers Russell etf have on its future price. Xtrackers Russell 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, Xtrackers Russell autocorrelation shows the relationship between Xtrackers Russell etf current value and its past values and can show if there is a momentum factor associated with investing in Xtrackers Russell Multifactor.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Xtrackers Russell Correlation, Xtrackers Russell Volatility and Xtrackers Russell Alpha and Beta module to complement your research on Xtrackers Russell. You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
Xtrackers Russell 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.