Correlation Between NYSE Composite and Natures Sunshine
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Natures Sunshine 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 Natures Sunshine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Natures Sunshine Products, you can compare the effects of market volatilities on NYSE Composite and Natures Sunshine 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 Natures Sunshine. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Natures Sunshine.
Diversification Opportunities for NYSE Composite and Natures Sunshine
0.13 | Correlation Coefficient |
Average diversification
The 3 months correlation between NYSE and Natures is 0.13. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Natures Sunshine Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Natures Sunshine Products 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 Natures Sunshine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Natures Sunshine Products has no effect on the direction of NYSE Composite i.e., NYSE Composite and Natures Sunshine go up and down completely randomly.
Pair Corralation between NYSE Composite and Natures Sunshine
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.37 times more return on investment than Natures Sunshine. However, NYSE Composite is 2.67 times less risky than Natures Sunshine. It trades about 0.02 of its potential returns per unit of risk. Natures Sunshine Products is currently generating about -0.11 per unit of risk. If you would invest 1,907,793 in NYSE Composite on December 30, 2024 and sell it today you would earn a total of 19,237 from holding NYSE Composite or generate 1.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Natures Sunshine Products
Performance |
Timeline |
NYSE Composite and Natures Sunshine Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Natures Sunshine Products
Pair trading matchups for Natures Sunshine
Pair Trading with NYSE Composite and Natures Sunshine
The main advantage of trading using opposite NYSE Composite and Natures Sunshine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Natures Sunshine 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 Natures Sunshine will offset losses from the drop in Natures Sunshine's long position.NYSE Composite vs. Corby Spirit and | NYSE Composite vs. Church Dwight | NYSE Composite vs. Nascent Wine | NYSE Composite vs. Crocs Inc |
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Check out your portfolio center.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.
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