Correlation Between Samsung Electronics and Goldrich Mining
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Goldrich Mining 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 Samsung Electronics and Goldrich Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and Goldrich Mining Co, you can compare the effects of market volatilities on Samsung Electronics and Goldrich Mining 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 Samsung Electronics with a short position of Goldrich Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Goldrich Mining.
Diversification Opportunities for Samsung Electronics and Goldrich Mining
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Goldrich is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Goldrich Mining Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldrich Mining and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with Goldrich Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldrich Mining has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Goldrich Mining go up and down completely randomly.
Pair Corralation between Samsung Electronics and Goldrich Mining
Assuming the 90 days horizon Samsung Electronics is expected to generate 149.8 times less return on investment than Goldrich Mining. But when comparing it to its historical volatility, Samsung Electronics Co is 318.27 times less risky than Goldrich Mining. It trades about 0.13 of its potential returns per unit of risk. Goldrich Mining Co is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1.50 in Goldrich Mining Co on August 30, 2024 and sell it today you would lose (1.48) from holding Goldrich Mining Co or give up 98.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Goldrich Mining Co
Performance |
Timeline |
Samsung Electronics |
Goldrich Mining |
Samsung Electronics and Goldrich Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Goldrich Mining
The main advantage of trading using opposite Samsung Electronics and Goldrich Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Goldrich Mining 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 Goldrich Mining will offset losses from the drop in Goldrich Mining's long position.Samsung Electronics vs. Legacy Education | Samsung Electronics vs. Apple Inc | Samsung Electronics vs. NVIDIA | Samsung Electronics vs. Microsoft |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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