Correlation Between NYSE Composite and Power Floating

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

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

Diversification Opportunities for NYSE Composite and Power Floating

0.57

Correlation Coefficient

NYSE Composite  Power Floating

Very weak diversification

The 3 months correlation between NYSE and Power is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Power Floating Rate in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Power Floating Rate 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 Power Floating. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Power Floating Rate has no effect on the direction of NYSE Composite i.e., NYSE Composite and Power Floating go up and down completely randomly.

Pair Corralation between NYSE Composite and Power Floating

Assuming the 90 days trading horizon NYSE Composite is expected to under-perform the Power Floating. In addition to that, NYSE Composite is 16.11 times more volatile than Power Floating Rate. It trades about -0.24 of its total potential returns per unit of risk. Power Floating Rate is currently generating about 0.55 per unit of volatility. If you would invest  958.00  in Power Floating Rate on September 20, 2024 and sell it today you would earn a total of  5.00  from holding Power Floating Rate or generate 0.52% return on investment over 90 days.

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

NYSE Composite  vs.  Power Floating Rate

Pair Trading with NYSE Composite and Power Floating

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

The idea behind NYSE Composite and Power Floating Rate 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.