Correlation Between NYSE Composite and Simply Good
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Simply Good 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 Simply Good into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Simply Good Foods, you can compare the effects of market volatilities on NYSE Composite and Simply Good 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 Simply Good. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Simply Good.
Diversification Opportunities for NYSE Composite and Simply Good
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between NYSE and Simply is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Simply Good Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Simply Good Foods 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 Simply Good. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Simply Good Foods has no effect on the direction of NYSE Composite i.e., NYSE Composite and Simply Good go up and down completely randomly.
Pair Corralation between NYSE Composite and Simply Good
Assuming the 90 days trading horizon NYSE Composite is expected to generate 4.85 times less return on investment than Simply Good. But when comparing it to its historical volatility, NYSE Composite is 2.16 times less risky than Simply Good. It trades about 0.24 of its potential returns per unit of risk. Simply Good Foods is currently generating about 0.54 of returns per unit of risk over similar time horizon. If you would invest 3,384 in Simply Good Foods on August 28, 2024 and sell it today you would earn a total of 600.00 from holding Simply Good Foods or generate 17.73% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
NYSE Composite vs. Simply Good Foods
Performance |
| Timeline |
NYSE Composite and Simply Good Volatility Contrast
Predicted Return Density |
| Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Simply Good Foods
Pair trading matchups for Simply Good
Pair Trading with NYSE Composite and Simply Good
The main advantage of trading using opposite NYSE Composite and Simply Good positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Simply Good 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 Simply Good will offset losses from the drop in Simply Good's long position.| NYSE Composite vs. Hooker Furniture | NYSE Composite vs. Hudson Pacific Properties | NYSE Composite vs. Canlan Ice Sports | NYSE Composite vs. Boston Properties |
| Simply Good vs. Post Holdings | Simply Good vs. Treehouse Foods | Simply Good vs. J J Snack | Simply Good vs. Central Garden Pet |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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