Correlation Between Samsung Electronics and Search Minerals
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Search Minerals 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 Search Minerals 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 Search Minerals, you can compare the effects of market volatilities on Samsung Electronics and Search Minerals 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 Search Minerals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Search Minerals.
Diversification Opportunities for Samsung Electronics and Search Minerals
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Search is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Search Minerals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Search Minerals 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 Search Minerals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Search Minerals has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Search Minerals go up and down completely randomly.
Pair Corralation between Samsung Electronics and Search Minerals
Assuming the 90 days horizon Samsung Electronics is expected to generate 646.3 times less return on investment than Search Minerals. But when comparing it to its historical volatility, Samsung Electronics Co is 827.97 times less risky than Search Minerals. It trades about 0.13 of its potential returns per unit of risk. Search Minerals is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 3.70 in Search Minerals on September 3, 2024 and sell it today you would lose (2.50) from holding Search Minerals or give up 67.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Samsung Electronics Co vs. Search Minerals
Performance |
Timeline |
Samsung Electronics |
Search Minerals |
Samsung Electronics and Search Minerals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Search Minerals
The main advantage of trading using opposite Samsung Electronics and Search Minerals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Search Minerals 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 Search Minerals will offset losses from the drop in Search Minerals' long position.Samsung Electronics vs. Apple Inc | Samsung Electronics vs. Microsoft | Samsung Electronics vs. Amazon Inc | Samsung Electronics vs. Alphabet Inc Class C |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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