Correlation Between NYSE Composite and Cleartrack Ret

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

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

Diversification Opportunities for NYSE Composite and Cleartrack Ret

0.23

Correlation Coefficient

NYSE Composite  Cleartrack Ret

Modest diversification

The 3 months correlation between NYSE and Cleartrack is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Cleartrack Ret Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cleartrack Ret Income 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 Cleartrack Ret. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cleartrack Ret Income has no effect on the direction of NYSE Composite i.e., NYSE Composite and Cleartrack Ret go up and down completely randomly.

Pair Corralation between NYSE Composite and Cleartrack Ret

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Cleartrack Ret. In addition to that, NYSE Composite is 8.85 times more volatile than Cleartrack Ret Income. It trades about -0.13 of its total potential returns per unit of risk. Cleartrack Ret Income is currently generating about -0.22 per unit of volatility. If you would invest  830.00  in Cleartrack Ret Income on December 5, 2024 and sell it today you would lose (3.00) from holding Cleartrack Ret Income or give up 0.36% of portfolio value over 90 days.

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

NYSE Composite  vs.  Cleartrack Ret Income

Pair Trading with NYSE Composite and Cleartrack Ret

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

The idea behind NYSE Composite and Cleartrack Ret Income 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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.