DAX (Germany) Market Value

GDAXI -  Germany Index  

 15,569  24.34  0.16%

DAX's market value is the price at which a share of DAX stock trades on a public exchange. It measures the collective expectations of DAX investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of DAX and determine expected loss or profit from investing in DAX over a given investment horizon. Check out DAX Hype Analysis, DAX Correlation, Portfolio Optimization, DAX Volatility, as well as analyze DAX Alpha and Beta and DAX Performance.

Please note, there is a significant difference between DAX's value and its price as these two are different measures arrived at by different means. Investors typically determine DAX value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DAX'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.

DAX '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 DAX's index 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 DAX.
No Change 0.00  0.0 
In 1 year 11 months and 22 days
If you would invest  0.00  in DAX on August 13, 2019 and sell it all today you would earn a total of 0.00 from holding DAX or generate 0.0% return on investment in DAX over 720 days.

DAX 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 DAX's index 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 DAX upside and downside potential and time the market with a certain degree of confidence.

DAX Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for DAX's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DAX's standard deviation. In reality, there are many statistical measures that can use DAX historical prices to predict the future DAX's volatility.
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of DAX'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. Please use the tools below to analyze the current value of DAX in the context of predictive analytics.
LowEstimated ValueHigh
LowReal ValueHigh
LowNext ValueHigh
Band Projection (param)
LowerMiddle BandUpper
Please note, it is not enough to conduct a financial or market analysis of a single entity such as DAX. Your research has to be compared to or analyzed against DAX's peers to derive any actionable benefits. When done correctly, DAX's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in DAX.

DAX Backtested Returns

DAX secures Sharpe Ratio (or Efficiency) of 0.0882, which denotes the index had 0.0882% of return per unit of volatility over the last 3 months. Our viewpoint regarding predicting the volatility of an index is to use all available market data together with index-specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for DAX, which you can use to evaluate the future volatility of the entity.
The entity shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. Let's try to break down what DAX's beta means in this case. the returns on MARKET and DAX are completely uncorrelated. Although it is extremely important to respect DAX historical returns, it is better to be realistic regarding the information on equity current trending patterns. The way of predicting future performance of any index is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. By examining DAX technical indicators, you can today evaluate if the expected return of 0.0796% will be sustainable into the future.
AdviceVolatility TrendExposureCorrelations



Modest reverse predictability

DAX has modest reverse predictability. Overlapping area represents the amount of predictability between DAX time series from 13th of August 2019 to 7th of August 2020 and 7th of August 2020 to 2nd of August 2021. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of DAX price movement. The serial correlation of -0.44 indicates that just about 44.0% of current DAX price fluctuation can be explain by its past prices. Given that DAX has negative autocorrelation for selected time horizon, investors may consider taking a contrarian position regarding future price movement of DAX for similar time interval.
Correlation Coefficient-0.44
Spearman Rank Test-0.21
Residual Average0.0
Price Variance1262834.43

DAX lagged returns against current returns

Autocorrelation, which is DAX index'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 DAX's index expected returns. We can calculate the autocorrelation of DAX returns to help us make a trade decision. For example, suppose you find that DAX index has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
 Current and Lagged Values 

DAX 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 DAX index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DAX index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DAX index over time.
 Current vs Lagged Prices 

DAX Lagged Returns

When evaluating DAX's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DAX index have on its future price. DAX 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, DAX autocorrelation shows the relationship between DAX index current value and its past values and can show if there is a momentum factor associated with investing in DAX.
 Regressed Prices 

Be your own money manager

Our tools can tell you how much better you can do entering a position in DAX without increasing your portfolio risk or giving up expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate.risk-adjusted returns of your individual positions relative to your overall portfolio.

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Check out DAX Hype Analysis, DAX Correlation, Portfolio Optimization, DAX Volatility, as well as analyze DAX Alpha and Beta and DAX Performance. Note that the DAX information on this page should be used as a complementary analysis to other DAX'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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

Other Tools for DAX Index

When running DAX price analysis, check to measure DAX's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy DAX is operating at the current time. Most of DAX's value examination focuses on studying past and present price action to predict the probability of DAX's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move DAX's price. Additionally, you may evaluate how the addition of DAX to your portfolios can decrease your overall portfolio volatility.
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