Correlation Between TERADATA and DAX Index

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Can any of the company-specific risk be diversified away by investing in both TERADATA and DAX Index at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining TERADATA and DAX Index into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TERADATA and DAX Index, you can compare the effects of market volatilities on TERADATA and DAX Index and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in TERADATA with a short position of DAX Index. Check out your portfolio center. Please also check ongoing floating volatility patterns of TERADATA and DAX Index.

Diversification Opportunities for TERADATA and DAX Index

0.77
  Correlation Coefficient

Poor diversification

The 3 months correlation between TERADATA and DAX is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding TERADATA and DAX Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAX Index and TERADATA is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on TERADATA are associated (or correlated) with DAX Index. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAX Index has no effect on the direction of TERADATA i.e., TERADATA and DAX Index go up and down completely randomly.
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Pair Corralation between TERADATA and DAX Index

Assuming the 90 days trading horizon TERADATA is expected to generate 1.17 times more return on investment than DAX Index. However, TERADATA is 1.17 times more volatile than DAX Index. It trades about 0.34 of its potential returns per unit of risk. DAX Index is currently generating about 0.18 per unit of risk. If you would invest  2,920  in TERADATA on September 24, 2024 and sell it today you would earn a total of  160.00  from holding TERADATA or generate 5.48% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

TERADATA  vs.  DAX Index

 Performance 
       Timeline  

TERADATA and DAX Index Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with TERADATA and DAX Index

The main advantage of trading using opposite TERADATA and DAX Index positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TERADATA position performs unexpectedly, DAX Index 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 DAX Index will offset losses from the drop in DAX Index's long position.
The idea behind TERADATA and DAX Index pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.

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