DAX Index (Germany) Market Value

GDAXI Index   17,735  56.88  0.32%   
DAX Index's market value is the price at which a share of DAX Index stock trades on a public exchange. It measures the collective expectations of DAX Index investors about the entity's future performance. With this module, you can estimate the performance of a buy and hold strategy of DAX Index and determine expected loss or profit from investing in DAX Index over a given investment horizon.
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any Index could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.
Symbol

DAX Index '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 Index'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 Index.
0.00
06/08/2023
No Change 0.00  0.0 
In 8 months and 27 days
03/04/2024
0.00
If you would invest  0.00  in DAX Index on June 8, 2023 and sell it all today you would earn a total of 0.00 from holding DAX Index or generate 0.0% return on investment in DAX Index over 270 days.

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

DAX Index Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for DAX Index's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DAX Index's standard deviation. In reality, there are many statistical measures that can use DAX Index historical prices to predict the future DAX Index'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 Index'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 Index in the context of predictive analytics.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as DAX Index. Your research has to be compared to or analyzed against DAX Index's peers to derive any actionable benefits. When done correctly, DAX Index's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in DAX Index.

DAX Index Backtested Returns

DAX Index secures Sharpe Ratio (or Efficiency) of 0.21, which denotes the index had 0.21% 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-seven technical indicators for DAX Index, 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. the returns on MARKET and DAX Index are completely uncorrelated.

Auto-correlation

    
  -0.59  

Good reverse predictability

DAX Index has good reverse predictability. Overlapping area represents the amount of predictability between DAX Index time series from 8th of June 2023 to 21st of October 2023 and 21st of October 2023 to 4th of March 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 DAX Index price movement. The serial correlation of -0.59 indicates that roughly 59.0% of current DAX Index price fluctuation can be explain by its past prices.
Correlation Coefficient-0.59
Spearman Rank Test-0.68
Residual Average0.0
Price Variance593.9 K

DAX Index lagged returns against current returns

Autocorrelation, which is DAX Index 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 Index's index expected returns. We can calculate the autocorrelation of DAX Index returns to help us make a trade decision. For example, suppose you find that DAX Index 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   
       Timeline  

DAX Index 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 index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DAX Index 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 index over time.
   Current vs Lagged Prices   
       Timeline  

DAX Index Lagged Returns

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

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards DAX Index in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, DAX Index's short interest history, or implied volatility extrapolated from DAX Index options trading.

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Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any Index could be tightly coupled with the direction of predictive economic indicators such as signals in gross domestic product.
You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..

Complementary Tools for DAX Index analysis

When running DAX Index's price analysis, check to measure DAX Index'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 Index is operating at the current time. Most of DAX Index's value examination focuses on studying past and present price action to predict the probability of DAX Index's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DAX Index's price. Additionally, you may evaluate how the addition of DAX Index to your portfolios can decrease your overall portfolio volatility.
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DAX Index technical index 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, index market cycles, or different charting patterns.
A focus of DAX Index technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of DAX Index trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...