Correlation Between GRIFFIN MINING and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both GRIFFIN MINING and Samsung Electronics 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 Samsung Electronics 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 Samsung Electronics Co, you can compare the effects of market volatilities on GRIFFIN MINING and Samsung Electronics 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 Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of GRIFFIN MINING and Samsung Electronics.
Diversification Opportunities for GRIFFIN MINING and Samsung Electronics
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between GRIFFIN and Samsung is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding GRIFFIN MINING LTD and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics 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 Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of GRIFFIN MINING i.e., GRIFFIN MINING and Samsung Electronics go up and down completely randomly.
Pair Corralation between GRIFFIN MINING and Samsung Electronics
Assuming the 90 days horizon GRIFFIN MINING LTD is expected to generate 1.4 times more return on investment than Samsung Electronics. However, GRIFFIN MINING is 1.4 times more volatile than Samsung Electronics Co. It trades about 0.17 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about 0.03 per unit of risk. If you would invest 174.00 in GRIFFIN MINING LTD on December 4, 2024 and sell it today you would earn a total of 48.00 from holding GRIFFIN MINING LTD or generate 27.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GRIFFIN MINING LTD vs. Samsung Electronics Co
Performance |
Timeline |
GRIFFIN MINING LTD |
Samsung Electronics |
GRIFFIN MINING and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GRIFFIN MINING and Samsung Electronics
The main advantage of trading using opposite GRIFFIN MINING and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GRIFFIN MINING position performs unexpectedly, Samsung Electronics 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 Samsung Electronics will offset losses from the drop in Samsung Electronics' long position.GRIFFIN MINING vs. GALENA MINING LTD | GRIFFIN MINING vs. GOLDQUEST MINING | GRIFFIN MINING vs. DISTRICT METALS | GRIFFIN MINING vs. Calibre Mining Corp |
Samsung Electronics vs. HAPPY BELLY FOOD | Samsung Electronics vs. PennantPark Investment | Samsung Electronics vs. Sligro Food Group | Samsung Electronics vs. Guangdong Investment Limited |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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