Correlation Between DAX Index and Mizuho Financial

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

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

Diversification Opportunities for DAX Index and Mizuho Financial

0.63

Correlation Coefficient

DAX Index  Mizuho Financial

Poor diversification

The 3 months correlation between DAX and Mizuho is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Mizuho Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mizuho Financial 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 Mizuho Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mizuho Financial has no effect on the direction of DAX Index i.e., DAX Index and Mizuho Financial go up and down completely randomly.

Pair Corralation between DAX Index and Mizuho Financial

Assuming the 90 days trading horizon DAX Index is expected to generate 1.25 times less return on investment than Mizuho Financial. But when comparing it to its historical volatility, DAX Index is 2.03 times less risky than Mizuho Financial. It trades about 0.17 of its potential returns per unit of risk. Mizuho Financial Group is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  2,338  in Mizuho Financial Group on December 30, 2024 and sell it today you would earn a total of  348.00  from holding Mizuho Financial Group or generate 14.88% 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.  Mizuho Financial Group

Pair Trading with DAX Index and Mizuho Financial

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

The idea behind DAX Index and Mizuho Financial Group 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.