Xtrackers Emerging Markets Etf Market Value
| EMCR Etf | USD 30.79 0.08 0.26% |
| Symbol | Xtrackers |
The market value of Xtrackers Emerging 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 Emerging's value that differs from its market value or its book value, called intrinsic value, which is Xtrackers 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 Xtrackers Emerging's market value can be influenced by many factors that don't directly affect Xtrackers 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 Xtrackers Emerging's value and its price as these two are different measures arrived at by different means. Investors typically determine if Xtrackers Emerging is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Xtrackers 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.
Xtrackers 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 Xtrackers 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 Xtrackers Emerging.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in Xtrackers Emerging on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding Xtrackers Emerging Markets or generate 0.0% return on investment in Xtrackers Emerging over 30 days. Xtrackers Emerging is related to or competes with Xtrackers MSCI, FlexShares Morningstar, Invesco SP, and First Trust. The indexis comprised of large and mid-capitalization companies in emerging markets countries that meet certain ESG crit... More
Xtrackers 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 Xtrackers 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 Xtrackers Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.25 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 7.25 | |||
| Value At Risk | (2.29) | |||
| Potential Upside | 2.2 |
Xtrackers Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xtrackers Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xtrackers Emerging's standard deviation. In reality, there are many statistical measures that can use Xtrackers Emerging historical prices to predict the future Xtrackers Emerging's volatility.| Risk Adjusted Performance | 0.0252 | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.18) | |||
| Sortino Ratio | (0.08) | |||
| Treynor Ratio | 0.0585 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Xtrackers 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.
Xtrackers Emerging Backtested Returns
Currently, Xtrackers Emerging Markets is very steady. Xtrackers Emerging shows Sharpe Ratio of 0.0225, which attests that the etf had a 0.0225% return per unit of risk over the last 3 months. We have found thirty technical indicators for Xtrackers Emerging, which you can use to evaluate the volatility of the etf. Please check out Xtrackers Emerging's Mean Deviation of 0.9241, downside deviation of 1.25, and Market Risk Adjusted Performance of 0.0685 to validate if the risk estimate we provide is consistent with the expected return of 0.0286%. The entity maintains a market beta of 0.43, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Xtrackers Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding Xtrackers Emerging is expected to be smaller as well.
Auto-correlation | 0.18 |
Very weak predictability
Xtrackers Emerging Markets has very weak predictability. Overlapping area represents the amount of predictability between Xtrackers Emerging time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th 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 Emerging price movement. The serial correlation of 0.18 indicates that over 18.0% of current Xtrackers Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Xtrackers Emerging lagged returns against current returns
Autocorrelation, which is Xtrackers 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 Xtrackers Emerging's etf expected returns. We can calculate the autocorrelation of Xtrackers Emerging returns to help us make a trade decision. For example, suppose you find that Xtrackers 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 |
Xtrackers 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 Xtrackers Emerging etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xtrackers Emerging etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xtrackers Emerging etf over time.
Current vs Lagged Prices |
| Timeline |
Xtrackers Emerging Lagged Returns
When evaluating Xtrackers Emerging's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xtrackers Emerging etf have on its future price. Xtrackers 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, Xtrackers Emerging autocorrelation shows the relationship between Xtrackers Emerging etf current value and its past values and can show if there is a momentum factor associated with investing in Xtrackers Emerging Markets.
Regressed Prices |
| Timeline |
Pair Trading with Xtrackers Emerging
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 Emerging 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 Emerging will appreciate offsetting losses from the drop in the long position's value.Moving together with Xtrackers Etf
| 1.0 | VWO | Vanguard FTSE Emerging | PairCorr |
| 0.98 | IEMG | iShares Core MSCI | PairCorr |
| 0.94 | EMC | Global X Funds | PairCorr |
| 0.98 | EEM | iShares MSCI Emerging | PairCorr |
| 1.0 | SPEM | SPDR Portfolio Emerging Sell-off Trend | PairCorr |
Moving against Xtrackers Etf
| 0.79 | HUM | Humana Inc Fiscal Year End 23rd of January 2025 | PairCorr |
The ability to find closely correlated positions to Xtrackers Emerging 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 Emerging 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 Emerging - 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 Emerging Markets to buy it.
The correlation of Xtrackers Emerging 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 Emerging moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Xtrackers Emerging 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 Emerging 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 Emerging Correlation, Xtrackers Emerging Volatility and Xtrackers Emerging Alpha and Beta module to complement your research on Xtrackers Emerging. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Xtrackers 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.