Correlation Between DAX Index and Robert Half

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

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

Diversification Opportunities for DAX Index and Robert Half

0.58

Correlation Coefficient

DAX Index  Robert Half

Very weak diversification

The 3 months correlation between DAX and Robert is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Robert Half International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Robert Half International 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 Robert Half. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Robert Half International has no effect on the direction of DAX Index i.e., DAX Index and Robert Half go up and down completely randomly.

Pair Corralation between DAX Index and Robert Half

Assuming the 90 days trading horizon DAX Index is expected to generate 2.99 times less return on investment than Robert Half. But when comparing it to its historical volatility, DAX Index is 2.28 times less risky than Robert Half. It trades about 0.16 of its potential returns per unit of risk. Robert Half International is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest  5,657  in Robert Half International on September 18, 2024 and sell it today you would earn a total of  1,543  from holding Robert Half International or generate 27.28% return on investment over 90 days.

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

DAX Index  vs.  Robert Half International

Pair Trading with DAX Index and Robert Half

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

The idea behind DAX Index and Robert Half International 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.