Xtrackers Harvest Csi Etf Market Value
| ASHS Etf | USD 27.53 0.05 0.18% |
| Symbol | Xtrackers |
The market value of Xtrackers Harvest CSI 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 Harvest's value that differs from its market value or its book value, called intrinsic value, which is Xtrackers Harvest'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 Harvest's market value can be influenced by many factors that don't directly affect Xtrackers Harvest'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 Harvest's value and its price as these two are different measures arrived at by different means. Investors typically determine if Xtrackers Harvest is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Xtrackers Harvest'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 Harvest '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 Harvest'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 Harvest.
| 04/06/2024 |
| 05/06/2024 |
If you would invest 0.00 in Xtrackers Harvest on April 6, 2024 and sell it all today you would earn a total of 0.00 from holding Xtrackers Harvest CSI or generate 0.0% return on investment in Xtrackers Harvest over 30 days. Xtrackers Harvest is related to or competes with Morningstar Unconstrained, High-yield Municipal, Thrivent High, Via Renewables, and T Rowe. The index is designed to reflect the price fluctuation and performance of small-cap companies in the China A-Share marke... More
Xtrackers Harvest 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 Harvest'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 Harvest CSI upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.37 | |||
| Information Ratio | 0.0913 | |||
| Maximum Drawdown | 11.51 | |||
| Value At Risk | (2.07) | |||
| Potential Upside | 3.18 |
Xtrackers Harvest Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xtrackers Harvest's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xtrackers Harvest's standard deviation. In reality, there are many statistical measures that can use Xtrackers Harvest historical prices to predict the future Xtrackers Harvest's volatility.| Risk Adjusted Performance | 0.0894 | |||
| Jensen Alpha | 0.2087 | |||
| Total Risk Alpha | 0.0319 | |||
| Sortino Ratio | 0.1344 | |||
| Treynor Ratio | 0.3922 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xtrackers Harvest'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 Harvest CSI Backtested Returns
Xtrackers Harvest appears to be very steady, given 3 months investment horizon. Xtrackers Harvest CSI shows Sharpe Ratio of 0.14, which attests that the etf had a 0.14% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Xtrackers Harvest CSI, which you can use to evaluate the volatility of the etf. Please utilize Xtrackers Harvest's Downside Deviation of 1.37, mean deviation of 1.39, and Market Risk Adjusted Performance of 0.4022 to validate if our risk estimates are consistent with your expectations. The entity maintains a market beta of 0.65, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Xtrackers Harvest's returns are expected to increase less than the market. However, during the bear market, the loss of holding Xtrackers Harvest is expected to be smaller as well.
Auto-correlation | 0.07 |
Virtually no predictability
Xtrackers Harvest CSI has virtually no predictability. Overlapping area represents the amount of predictability between Xtrackers Harvest time series from 6th of April 2024 to 21st of April 2024 and 21st of April 2024 to 6th of May 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 Harvest CSI price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Xtrackers Harvest price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | -0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.48 |
Xtrackers Harvest CSI lagged returns against current returns
Autocorrelation, which is Xtrackers Harvest 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 Harvest's etf expected returns. We can calculate the autocorrelation of Xtrackers Harvest returns to help us make a trade decision. For example, suppose you find that Xtrackers Harvest 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 Harvest 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 Harvest etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xtrackers Harvest etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xtrackers Harvest etf over time.
Current vs Lagged Prices |
| Timeline |
Xtrackers Harvest Lagged Returns
When evaluating Xtrackers Harvest's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xtrackers Harvest etf have on its future price. Xtrackers Harvest 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 Harvest autocorrelation shows the relationship between Xtrackers Harvest etf current value and its past values and can show if there is a momentum factor associated with investing in Xtrackers Harvest CSI.
Regressed Prices |
| Timeline |
Pair Trading with Xtrackers Harvest
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 Harvest 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 Harvest will appreciate offsetting losses from the drop in the long position's value.Moving together with Xtrackers Etf
| 0.63 | KWEB | KraneShares CSI China Aggressive Push | PairCorr |
| 0.62 | FXI | iShares China Large Aggressive Push | PairCorr |
| 0.67 | EWT | iShares MSCI Taiwan | PairCorr |
| 0.93 | ASHR | Xtrackers Harvest CSI | PairCorr |
| 0.78 | GXC | SPDR SP China | PairCorr |
Moving against Xtrackers Etf
| 0.59 | FNGD | MicroSectors FANG Index Downward Rally | PairCorr |
| 0.51 | HUM | Humana Inc Sell-off Trend | PairCorr |
The ability to find closely correlated positions to Xtrackers Harvest 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 Harvest 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 Harvest - 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 Harvest CSI to buy it.
The correlation of Xtrackers Harvest 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 Harvest moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xtrackers Harvest CSI 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 Harvest 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 Harvest Correlation, Xtrackers Harvest Volatility and Xtrackers Harvest Alpha and Beta module to complement your research on Xtrackers Harvest. Note that the Xtrackers Harvest CSI information on this page should be used as a complementary analysis to other Xtrackers Harvest's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Xtrackers Harvest 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.