Correlation Between Zinc Media and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Zinc Media 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 Zinc Media and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Zinc Media Group and Samsung Electronics Co, you can compare the effects of market volatilities on Zinc Media 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 Zinc Media with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Zinc Media and Samsung Electronics.
Diversification Opportunities for Zinc Media and Samsung Electronics
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Zinc and Samsung is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding Zinc Media Group and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Zinc Media 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 Zinc Media Group 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 Zinc Media i.e., Zinc Media and Samsung Electronics go up and down completely randomly.
Pair Corralation between Zinc Media and Samsung Electronics
Assuming the 90 days trading horizon Zinc Media Group is expected to under-perform the Samsung Electronics. In addition to that, Zinc Media is 1.22 times more volatile than Samsung Electronics Co. It trades about -0.16 of its total potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.12 per unit of volatility. If you would invest 98,370 in Samsung Electronics Co on September 12, 2024 and sell it today you would lose (16,970) from holding Samsung Electronics Co or give up 17.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.46% |
Values | Daily Returns |
Zinc Media Group vs. Samsung Electronics Co
Performance |
Timeline |
Zinc Media Group |
Samsung Electronics |
Zinc Media and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Zinc Media and Samsung Electronics
The main advantage of trading using opposite Zinc Media and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Zinc Media 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.Zinc Media vs. Catalyst Media Group | Zinc Media vs. CATLIN GROUP | Zinc Media vs. Tamburi Investment Partners | Zinc Media vs. Magnora ASA |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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