Correlation Between DAX Index and SPASX Dividend

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

By analyzing existing cross correlation between DAX Index and SPASX Dividend Opportunities, you can compare the effects of market volatilities on DAX Index and SPASX Dividend 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 SPASX Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of DAX Index and SPASX Dividend.

Diversification Opportunities for DAX Index and SPASX Dividend

0.72

Correlation Coefficient

DAX Index  SPASX Dividend

Poor diversification

The 3 months correlation between DAX and SPASX is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and SPASX Dividend Opportunities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPASX Dividend Oppor 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 SPASX Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPASX Dividend Oppor has no effect on the direction of DAX Index i.e., DAX Index and SPASX Dividend go up and down completely randomly.

Pair Corralation between DAX Index and SPASX Dividend

Assuming the 90 days trading horizon DAX Index is expected to generate 1.29 times more return on investment than SPASX Dividend. However, DAX Index is 1.29 times more volatile than SPASX Dividend Opportunities. It trades about 0.04 of its potential returns per unit of risk. SPASX Dividend Opportunities is currently generating about 0.05 per unit of risk. If you would invest  1,890,692  in DAX Index on August 30, 2024 and sell it today you would earn a total of  35,483  from holding DAX Index or generate 1.88% return on investment over 90 days.

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

DAX Index  vs.  SPASX Dividend Opportunities

Pair Trading with DAX Index and SPASX Dividend

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

The idea behind DAX Index and SPASX Dividend Opportunities 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.