Correlation Between DAX Index and Vertex Pharmaceuticals

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

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

Diversification Opportunities for DAX Index and Vertex Pharmaceuticals

0.14

Correlation Coefficient

DAX Index  Vertex Pharmaceuticals

Average diversification

The 3 months correlation between DAX and Vertex is 0.14. Overlapping area represents the amount of risk that can be diversified away by holding DAX Index and Vertex Pharmaceuticals Incorpo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Vertex Pharmaceuticals 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 Vertex Pharmaceuticals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Vertex Pharmaceuticals has no effect on the direction of DAX Index i.e., DAX Index and Vertex Pharmaceuticals go up and down completely randomly.

Pair Corralation between DAX Index and Vertex Pharmaceuticals

Assuming the 90 days trading horizon DAX Index is expected to generate 0.42 times more return on investment than Vertex Pharmaceuticals. However, DAX Index is 2.39 times less risky than Vertex Pharmaceuticals. It trades about 0.16 of its potential returns per unit of risk. Vertex Pharmaceuticals Incorporated is currently generating about 0.05 per unit of risk. If you would invest  1,872,001  in DAX Index on September 20, 2024 and sell it today you would earn a total of  152,256  from holding DAX Index or generate 8.13% return on investment over 90 days.

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

DAX Index  vs.  Vertex Pharmaceuticals Incorpo

Pair Trading with DAX Index and Vertex Pharmaceuticals

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

The idea behind DAX Index and Vertex Pharmaceuticals Incorporated 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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.