Deka Deutsche's market value is the price at which a share of Deka Deutsche trades on a public exchange. It measures the collective expectations of Deka Deutsche Brse investors about its performance. Deka Deutsche is trading at 107.08 as of the 24th of December 2024, a 0.23 percent decrease since the beginning of the trading day. The etf's lowest day price was 107.08. With this module, you can estimate the performance of a buy and hold strategy of Deka Deutsche Brse and determine expected loss or profit from investing in Deka Deutsche over a given investment horizon. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Deka
Deka Deutsche '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 Deka Deutsche'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 Deka Deutsche.
0.00
09/25/2024
No Change 0.00
0.0
In 2 months and 31 days
12/24/2024
0.00
If you would invest 0.00 in Deka Deutsche on September 25, 2024 and sell it all today you would earn a total of 0.00 from holding Deka Deutsche Brse or generate 0.0% return on investment in Deka Deutsche over 90 days.
Deka Deutsche 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 Deka Deutsche'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 Deka Deutsche Brse upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deka Deutsche's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deka Deutsche's standard deviation. In reality, there are many statistical measures that can use Deka Deutsche historical prices to predict the future Deka Deutsche's volatility.
Deka Deutsche Brse secures Sharpe Ratio (or Efficiency) of -0.0238, which denotes the etf had a -0.0238% return per unit of risk over the last 3 months. Deka Deutsche Brse exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Deka Deutsche's Variance of 0.0619, standard deviation of 0.2489, and Mean Deviation of 0.2002 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.0424, which means not very significant fluctuations relative to the market. As returns on the market increase, Deka Deutsche's returns are expected to increase less than the market. However, during the bear market, the loss of holding Deka Deutsche is expected to be smaller as well.
Auto-correlation
-0.21
Weak reverse predictability
Deka Deutsche Brse has weak reverse predictability. Overlapping area represents the amount of predictability between Deka Deutsche time series from 25th of September 2024 to 9th of November 2024 and 9th of November 2024 to 24th of December 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 Deka Deutsche Brse price movement. The serial correlation of -0.21 indicates that over 21.0% of current Deka Deutsche price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.21
Spearman Rank Test
-0.56
Residual Average
0.0
Price Variance
0.57
Deka Deutsche Brse lagged returns against current returns
Autocorrelation, which is Deka Deutsche 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 Deka Deutsche's etf expected returns. We can calculate the autocorrelation of Deka Deutsche returns to help us make a trade decision. For example, suppose you find that Deka Deutsche 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
Deka Deutsche 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 Deka Deutsche etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Deka Deutsche etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Deka Deutsche etf over time.
Current vs Lagged Prices
Timeline
Deka Deutsche Lagged Returns
When evaluating Deka Deutsche's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Deka Deutsche etf have on its future price. Deka Deutsche 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, Deka Deutsche autocorrelation shows the relationship between Deka Deutsche etf current value and its past values and can show if there is a momentum factor associated with investing in Deka Deutsche Brse.
Regressed Prices
Timeline
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