Correlation Between NYSE Composite and M3 Brigade

Can any of the company-specific risk be diversified away by investing in both NYSE Composite and M3 Brigade 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 M3 Brigade into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between NYSE Composite and M3 Brigade Acquisition V, you can compare the effects of market volatilities on NYSE Composite and M3 Brigade 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 M3 Brigade. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and M3 Brigade.

Diversification Opportunities for NYSE Composite and M3 Brigade

0.15

Correlation Coefficient

NYSE Composite  M3 Brigade

Average diversification

The 3 months correlation between NYSE and MBAV is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and M3 Brigade Acquisition V in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on M3 Brigade Acquisition 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 M3 Brigade. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of M3 Brigade Acquisition has no effect on the direction of NYSE Composite i.e., NYSE Composite and M3 Brigade go up and down completely randomly.

Pair Corralation between NYSE Composite and M3 Brigade

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the M3 Brigade. In addition to that, NYSE Composite is 10.71 times more volatile than M3 Brigade Acquisition V. It trades about -0.26 of its total potential returns per unit of risk. M3 Brigade Acquisition V is currently generating about 0.13 per unit of volatility. If you would invest  1,004  in M3 Brigade Acquisition V on September 21, 2024 and sell it today you would earn a total of  2.00  from holding M3 Brigade Acquisition V or generate 0.2% return on investment over 90 days.

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

NYSE Composite  vs.  M3 Brigade Acquisition V

Pair Trading with NYSE Composite and M3 Brigade

The main advantage of trading using opposite NYSE Composite and M3 Brigade positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, M3 Brigade 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 M3 Brigade will offset losses from the drop in M3 Brigade's long position.

The idea behind NYSE Composite and M3 Brigade Acquisition V 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.