Correlation Between NYSE Composite and Materialise

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

By analyzing existing cross correlation between NYSE Composite and Materialise NV, you can compare the effects of market volatilities on NYSE Composite and Materialise 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 NYSE Composite with a short position of Materialise. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Materialise.

Diversification Opportunities for NYSE Composite and Materialise

0.49

Correlation Coefficient

NYSE Composite  Materialise

Very weak diversification

The 3 months correlation between NYSE and Materialise is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Materialise NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Materialise NV and NYSE Composite 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 NYSE Composite are associated (or correlated) with Materialise. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Materialise NV has no effect on the direction of NYSE Composite i.e., NYSE Composite and Materialise go up and down completely randomly.

Pair Corralation between NYSE Composite and Materialise

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Materialise. But the index apears to be less risky and, when comparing its historical volatility, NYSE Composite is 5.46 times less risky than Materialise. The index trades about -0.26 of its potential returns per unit of risk. The Materialise NV is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest  712.00  in Materialise NV on September 21, 2024 and sell it today you would earn a total of  51.00  from holding Materialise NV or generate 7.16% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Weak
Accuracy	95.45%
Values	Daily Returns

NYSE Composite  vs.  Materialise NV

Pair Trading with NYSE Composite and Materialise

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

The idea behind NYSE Composite and Materialise NV 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.