Correlation Between NYSE Composite and FAT Brands
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and FAT Brands 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 FAT Brands into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and FAT Brands, you can compare the effects of market volatilities on NYSE Composite and FAT Brands 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 FAT Brands. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and FAT Brands.
Diversification Opportunities for NYSE Composite and FAT Brands
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between NYSE and FAT is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and FAT Brands in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FAT Brands 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 FAT Brands. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FAT Brands has no effect on the direction of NYSE Composite i.e., NYSE Composite and FAT Brands go up and down completely randomly.
Pair Corralation between NYSE Composite and FAT Brands
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.25 times more return on investment than FAT Brands. However, NYSE Composite is 4.07 times less risky than FAT Brands. It trades about 0.05 of its potential returns per unit of risk. FAT Brands is currently generating about 0.01 per unit of risk. If you would invest 1,588,009 in NYSE Composite on October 13, 2024 and sell it today you would earn a total of 308,292 from holding NYSE Composite or generate 19.41% 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. FAT Brands
Performance |
Timeline |
NYSE Composite and FAT Brands Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
FAT Brands
Pair trading matchups for FAT Brands
Pair Trading with NYSE Composite and FAT Brands
The main advantage of trading using opposite NYSE Composite and FAT Brands positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, FAT Brands 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 FAT Brands will offset losses from the drop in FAT Brands' long position.NYSE Composite vs. Viemed Healthcare | NYSE Composite vs. NuRAN Wireless | NYSE Composite vs. Gentex | NYSE Composite vs. Modine Manufacturing |
FAT Brands vs. FAT Brands | FAT Brands vs. Cannae Holdings | FAT Brands vs. Nathans Famous | FAT Brands vs. Dine Brands Global |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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