Correlation Between NYSE Composite and Barfresh Food
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Barfresh Food 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 Barfresh Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Barfresh Food Group, you can compare the effects of market volatilities on NYSE Composite and Barfresh Food 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 Barfresh Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Barfresh Food.
Diversification Opportunities for NYSE Composite and Barfresh Food
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between NYSE and Barfresh is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Barfresh Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Barfresh Food Group 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 Barfresh Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Barfresh Food Group has no effect on the direction of NYSE Composite i.e., NYSE Composite and Barfresh Food go up and down completely randomly.
Pair Corralation between NYSE Composite and Barfresh Food
Assuming the 90 days trading horizon NYSE Composite is expected to generate 11.07 times less return on investment than Barfresh Food. But when comparing it to its historical volatility, NYSE Composite is 8.16 times less risky than Barfresh Food. It trades about 0.24 of its potential returns per unit of risk. Barfresh Food Group is currently generating about 0.33 of returns per unit of risk over similar time horizon. If you would invest 203.00 in Barfresh Food Group on August 27, 2024 and sell it today you would earn a total of 84.00 from holding Barfresh Food Group or generate 41.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Barfresh Food Group
Performance |
Timeline |
NYSE Composite and Barfresh Food Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Barfresh Food Group
Pair trading matchups for Barfresh Food
Pair Trading with NYSE Composite and Barfresh Food
The main advantage of trading using opposite NYSE Composite and Barfresh Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Barfresh Food 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 Barfresh Food will offset losses from the drop in Barfresh Food'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 |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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