Xtrackers High Beta Etf Market Value
| HYUP Etf | USD 42.30 0.11 0.26% |
| Symbol | Xtrackers |
The market value of Xtrackers High Beta 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 High's value that differs from its market value or its book value, called intrinsic value, which is Xtrackers High'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 High's market value can be influenced by many factors that don't directly affect Xtrackers High'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 High's value and its price as these two are different measures arrived at by different means. Investors typically determine if Xtrackers High is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Xtrackers High'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 High '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 High'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 High.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in Xtrackers High on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding Xtrackers High Beta or generate 0.0% return on investment in Xtrackers High over 720 days. Xtrackers High is related to or competes with First Trust, First Trust, First Trust, First Trust, and First Trust. The fund will invest at least 80 percent of its total assets, in component securities of the underlying index More
Xtrackers High 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 High'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 High Beta upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2088 | |||
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 1.13 | |||
| Value At Risk | (0.33) | |||
| Potential Upside | 0.4498 |
Xtrackers High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xtrackers High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xtrackers High's standard deviation. In reality, there are many statistical measures that can use Xtrackers High historical prices to predict the future Xtrackers High's volatility.| Risk Adjusted Performance | 0.1701 | |||
| Jensen Alpha | 0.0307 | |||
| Total Risk Alpha | 0.0178 | |||
| Sortino Ratio | (0.25) | |||
| Treynor Ratio | 0.2862 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xtrackers High'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 High Beta Backtested Returns
Currently, Xtrackers High Beta is very steady. Xtrackers High Beta shows Sharpe Ratio of 0.23, which attests that the etf had a 0.23% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Xtrackers High Beta, which you can use to evaluate the volatility of the etf. Please check out Xtrackers High's Coefficient Of Variation of 393.02, mean deviation of 0.1729, and Market Risk Adjusted Performance of 0.2962 to validate if the risk estimate we provide is consistent with the expected return of 0.0502%. The entity maintains a market beta of 0.16, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Xtrackers High's returns are expected to increase less than the market. However, during the bear market, the loss of holding Xtrackers High is expected to be smaller as well.
Auto-correlation | 0.72 |
Good predictability
Xtrackers High Beta has good predictability. Overlapping area represents the amount of predictability between Xtrackers High time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd 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 High Beta price movement. The serial correlation of 0.72 indicates that around 72.0% of current Xtrackers High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 2.28 |
Xtrackers High Beta lagged returns against current returns
Autocorrelation, which is Xtrackers High 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 High's etf expected returns. We can calculate the autocorrelation of Xtrackers High returns to help us make a trade decision. For example, suppose you find that Xtrackers High 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 High 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 High etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xtrackers High etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xtrackers High etf over time.
Current vs Lagged Prices |
| Timeline |
Xtrackers High Lagged Returns
When evaluating Xtrackers High's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xtrackers High etf have on its future price. Xtrackers High 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 High autocorrelation shows the relationship between Xtrackers High etf current value and its past values and can show if there is a momentum factor associated with investing in Xtrackers High Beta.
Regressed Prices |
| Timeline |
Pair Trading with Xtrackers High
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 Xtrackers High 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 Xtrackers High will appreciate offsetting losses from the drop in the long position's value.Moving together with Xtrackers Etf
| 0.94 | HYG | iShares iBoxx High Sell-off Trend | PairCorr |
| 0.93 | USHY | iShares Broad USD Sell-off Trend | PairCorr |
| 0.92 | JNK | SPDR Bloomberg High | PairCorr |
| 0.98 | SHYG | iShares 0 5 | PairCorr |
| 0.95 | HYLB | Xtrackers USD High | PairCorr |
Moving against Xtrackers Etf
The ability to find closely correlated positions to Xtrackers High could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Xtrackers High 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 Xtrackers High - 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 Xtrackers High Beta to buy it.
The correlation of Xtrackers High 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 Xtrackers High moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xtrackers High Beta 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 Xtrackers High 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 Xtrackers High Correlation, Xtrackers High Volatility and Xtrackers High Alpha and Beta module to complement your research on Xtrackers High. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Xtrackers High 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.