Correlation Between DAX Index and Banco Santander

Can any of the company-specific risk be diversified away by investing in both DAX Index and Banco Santander 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 DAX Index and Banco Santander into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between DAX Index and Banco Santander SA, you can compare the effects of market volatilities on DAX Index and Banco Santander 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 DAX Index with a short position of Banco Santander. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and Banco Santander.

Diversification Opportunities for DAX Index and Banco Santander

0.96

Correlation Coefficient

DAX Index  Banco Santander

Almost no diversification

The 3 months correlation between DAX and Banco is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Banco Santander SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Banco Santander SA and DAX Index 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 DAX Index are associated (or correlated) with Banco Santander. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Banco Santander SA has no effect on the direction of DAX Index i.e., DAX Index and Banco Santander go up and down completely randomly.

Pair Corralation between DAX Index and Banco Santander

Assuming the 90 days trading horizon DAX Index is expected to generate 3.15 times less return on investment than Banco Santander. But when comparing it to its historical volatility, DAX Index is 1.97 times less risky than Banco Santander. It trades about 0.17 of its potential returns per unit of risk. Banco Santander SA is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest  434.00  in Banco Santander SA on December 30, 2024 and sell it today you would earn a total of  198.00  from holding Banco Santander SA or generate 45.62% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	100.0%
Values	Daily Returns

DAX Index  vs.  Banco Santander SA

Pair Trading with DAX Index and Banco Santander

The main advantage of trading using opposite DAX Index and Banco Santander positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DAX Index position performs unexpectedly, Banco Santander 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 Banco Santander will offset losses from the drop in Banco Santander's long position.

The idea behind DAX Index and Banco Santander SA 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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.