Correlation Between DAX Index and BNY Mellon

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

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

Diversification Opportunities for DAX Index and BNY Mellon

0.71

Correlation Coefficient

DAX Index  BNY Mellon

Poor diversification

The 3 months correlation between DAX and BNY is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and BNY Mellon Global in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNY Mellon Global 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 BNY Mellon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BNY Mellon Global has no effect on the direction of DAX Index i.e., DAX Index and BNY Mellon go up and down completely randomly.

Pair Corralation between DAX Index and BNY Mellon

Assuming the 90 days trading horizon DAX Index is expected to under-perform the BNY Mellon. But the index apears to be less risky and, when comparing its historical volatility, DAX Index is 1.06 times less risky than BNY Mellon. The index trades about -0.28 of its potential returns per unit of risk. The BNY Mellon Global is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest  168.00  in BNY Mellon Global on October 6, 2024 and sell it today you would lose (1.00) from holding BNY Mellon Global or give up 0.6% of portfolio value over 90 days.

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

DAX Index  vs.  BNY Mellon Global

Pair Trading with DAX Index and BNY Mellon

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

The idea behind DAX Index and BNY Mellon Global 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.