Deka MDAX's market value is the price at which a share of Deka MDAX trades on a public exchange. It measures the collective expectations of Deka MDAX UCITS investors about its performance. Deka MDAX is trading at 243.45 as of the 18th of December 2024, a 0.88 percent decrease since the beginning of the trading day. The etf's lowest day price was 243.45. With this module, you can estimate the performance of a buy and hold strategy of Deka MDAX UCITS and determine expected loss or profit from investing in Deka MDAX 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 MDAX '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 MDAX'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 MDAX.
0.00
10/19/2024
No Change 0.00
0.0
In 2 months and 2 days
12/18/2024
0.00
If you would invest 0.00 in Deka MDAX on October 19, 2024 and sell it all today you would earn a total of 0.00 from holding Deka MDAX UCITS or generate 0.0% return on investment in Deka MDAX over 60 days.
Deka MDAX 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 MDAX'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 MDAX UCITS 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 MDAX's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deka MDAX's standard deviation. In reality, there are many statistical measures that can use Deka MDAX historical prices to predict the future Deka MDAX's volatility.
Deka MDAX UCITS secures Sharpe Ratio (or Efficiency) of -0.0188, which denotes the etf had a -0.0188% return per unit of risk over the last 3 months. Deka MDAX UCITS exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Deka MDAX's Mean Deviation of 0.7068, coefficient of variation of 6503.46, and Downside Deviation of 0.8969 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.037, which means not very significant fluctuations relative to the market. As returns on the market increase, Deka MDAX's returns are expected to increase less than the market. However, during the bear market, the loss of holding Deka MDAX is expected to be smaller as well.
Auto-correlation
-0.38
Poor reverse predictability
Deka MDAX UCITS has poor reverse predictability. Overlapping area represents the amount of predictability between Deka MDAX time series from 19th of October 2024 to 18th of November 2024 and 18th of November 2024 to 18th 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 MDAX UCITS price movement. The serial correlation of -0.38 indicates that just about 38.0% of current Deka MDAX price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.38
Spearman Rank Test
-0.57
Residual Average
0.0
Price Variance
13.86
Deka MDAX UCITS lagged returns against current returns
Autocorrelation, which is Deka MDAX 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 MDAX's etf expected returns. We can calculate the autocorrelation of Deka MDAX returns to help us make a trade decision. For example, suppose you find that Deka MDAX 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 MDAX 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 MDAX etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Deka MDAX etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Deka MDAX etf over time.
Current vs Lagged Prices
Timeline
Deka MDAX Lagged Returns
When evaluating Deka MDAX's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Deka MDAX etf have on its future price. Deka MDAX 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 MDAX autocorrelation shows the relationship between Deka MDAX etf current value and its past values and can show if there is a momentum factor associated with investing in Deka MDAX UCITS.
Regressed Prices
Timeline
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