Correlation Between GRIFFIN MINING and Flowers Foods
Can any of the company-specific risk be diversified away by investing in both GRIFFIN MINING and Flowers Foods 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 GRIFFIN MINING and Flowers Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GRIFFIN MINING LTD and Flowers Foods, you can compare the effects of market volatilities on GRIFFIN MINING and Flowers Foods 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 GRIFFIN MINING with a short position of Flowers Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of GRIFFIN MINING and Flowers Foods.
Diversification Opportunities for GRIFFIN MINING and Flowers Foods
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between GRIFFIN and Flowers is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding GRIFFIN MINING LTD and Flowers Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Flowers Foods and GRIFFIN MINING 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 GRIFFIN MINING LTD are associated (or correlated) with Flowers Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Flowers Foods has no effect on the direction of GRIFFIN MINING i.e., GRIFFIN MINING and Flowers Foods go up and down completely randomly.
Pair Corralation between GRIFFIN MINING and Flowers Foods
Assuming the 90 days horizon GRIFFIN MINING LTD is expected to generate 1.47 times more return on investment than Flowers Foods. However, GRIFFIN MINING is 1.47 times more volatile than Flowers Foods. It trades about 0.05 of its potential returns per unit of risk. Flowers Foods is currently generating about -0.44 per unit of risk. If you would invest 172.00 in GRIFFIN MINING LTD on September 25, 2024 and sell it today you would earn a total of 2.00 from holding GRIFFIN MINING LTD or generate 1.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GRIFFIN MINING LTD vs. Flowers Foods
Performance |
Timeline |
GRIFFIN MINING LTD |
Flowers Foods |
GRIFFIN MINING and Flowers Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GRIFFIN MINING and Flowers Foods
The main advantage of trading using opposite GRIFFIN MINING and Flowers Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GRIFFIN MINING position performs unexpectedly, Flowers Foods 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 Flowers Foods will offset losses from the drop in Flowers Foods' long position.GRIFFIN MINING vs. PARKEN Sport Entertainment | GRIFFIN MINING vs. PT Global Mediacom | GRIFFIN MINING vs. Dave Busters Entertainment | GRIFFIN MINING vs. Universal Entertainment |
Flowers Foods vs. Columbia Sportswear | Flowers Foods vs. PLAYSTUDIOS A DL 0001 | Flowers Foods vs. VIAPLAY GROUP AB | Flowers Foods vs. Universal Display |
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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