Correlation Between Thor Mining and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Thor 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 Thor 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 Thor Mining PLC and Samsung Electronics Co, you can compare the effects of market volatilities on Thor 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 Thor Mining with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thor Mining and Samsung Electronics.
Diversification Opportunities for Thor Mining and Samsung Electronics
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Thor and Samsung is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Thor Mining PLC and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Thor 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 Thor Mining PLC 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 Thor Mining i.e., Thor Mining and Samsung Electronics go up and down completely randomly.
Pair Corralation between Thor Mining and Samsung Electronics
Assuming the 90 days trading horizon Thor Mining PLC is expected to under-perform the Samsung Electronics. In addition to that, Thor Mining is 2.58 times more volatile than Samsung Electronics Co. It trades about -0.02 of its total potential returns per unit of risk. Samsung Electronics Co is currently generating about 0.11 per unit of volatility. If you would invest 92,200 in Samsung Electronics Co on December 23, 2024 and sell it today you would earn a total of 11,500 from holding Samsung Electronics Co or generate 12.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Thor Mining PLC vs. Samsung Electronics Co
Performance |
Timeline |
Thor Mining PLC |
Samsung Electronics |
Thor Mining and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thor Mining and Samsung Electronics
The main advantage of trading using opposite Thor Mining and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thor 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.Thor Mining vs. Lindsell Train Investment | Thor Mining vs. Lowland Investment Co | Thor Mining vs. SBM Offshore NV | Thor Mining vs. Jade Road Investments |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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