Correlation Between SIERRA METALS and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both SIERRA METALS 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 SIERRA METALS and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SIERRA METALS and Samsung Electronics Co, you can compare the effects of market volatilities on SIERRA METALS 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 SIERRA METALS with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of SIERRA METALS and Samsung Electronics.
Diversification Opportunities for SIERRA METALS and Samsung Electronics
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between SIERRA and Samsung is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding SIERRA METALS and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and SIERRA METALS 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 SIERRA METALS 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 SIERRA METALS i.e., SIERRA METALS and Samsung Electronics go up and down completely randomly.
Pair Corralation between SIERRA METALS and Samsung Electronics
Assuming the 90 days trading horizon SIERRA METALS is expected to under-perform the Samsung Electronics. In addition to that, SIERRA METALS is 1.55 times more volatile than Samsung Electronics Co. It trades about -0.01 of its total potential returns per unit of risk. Samsung Electronics Co is currently generating about 0.09 per unit of volatility. If you would invest 87,000 in Samsung Electronics Co on December 25, 2024 and sell it today you would earn a total of 7,800 from holding Samsung Electronics Co or generate 8.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SIERRA METALS vs. Samsung Electronics Co
Performance |
Timeline |
SIERRA METALS |
Samsung Electronics |
SIERRA METALS and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SIERRA METALS and Samsung Electronics
The main advantage of trading using opposite SIERRA METALS and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SIERRA METALS 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.SIERRA METALS vs. China Medical System | SIERRA METALS vs. Genertec Universal Medical | SIERRA METALS vs. AGNC INVESTMENT | SIERRA METALS vs. Medical Properties Trust |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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