Correlation Between NYSE Composite and Qs Defensive

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

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

Diversification Opportunities for NYSE Composite and Qs Defensive

0.87

Correlation Coefficient

NYSE Composite  Qs Defensive

Very poor diversification

The 3 months correlation between NYSE and SBCLX is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Qs Defensive Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Qs Defensive Growth 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 Qs Defensive. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Qs Defensive Growth has no effect on the direction of NYSE Composite i.e., NYSE Composite and Qs Defensive go up and down completely randomly.

Pair Corralation between NYSE Composite and Qs Defensive

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Qs Defensive. In addition to that, NYSE Composite is 1.34 times more volatile than Qs Defensive Growth. It trades about -0.19 of its total potential returns per unit of risk. Qs Defensive Growth is currently generating about -0.22 per unit of volatility. If you would invest  1,356  in Qs Defensive Growth on February 2, 2024 and sell it today you would lose (34.00) from holding Qs Defensive Growth or give up 2.51% of portfolio value over 90 days.

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

NYSE Composite  vs.  Qs Defensive Growth

Pair Trading with NYSE Composite and Qs Defensive

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

The idea behind NYSE Composite and Qs Defensive Growth 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.