Correlation Between DAX Index and Roper Technologies

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

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

Diversification Opportunities for DAX Index and Roper Technologies

0.68

Correlation Coefficient

DAX Index  Roper Technologies

Poor diversification

The 3 months correlation between DAX and Roper is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Roper Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Roper Technologies 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 Roper Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Roper Technologies has no effect on the direction of DAX Index i.e., DAX Index and Roper Technologies go up and down completely randomly.

Pair Corralation between DAX Index and Roper Technologies

Assuming the 90 days trading horizon DAX Index is expected to generate 0.59 times more return on investment than Roper Technologies. However, DAX Index is 1.69 times less risky than Roper Technologies. It trades about 0.22 of its potential returns per unit of risk. Roper Technologies is currently generating about 0.04 per unit of risk. If you would invest  1,984,877  in DAX Index on December 21, 2024 and sell it today you would earn a total of  315,038  from holding DAX Index or generate 15.87% 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.  Roper Technologies

Pair Trading with DAX Index and Roper Technologies

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

The idea behind DAX Index and Roper Technologies 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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.