Correlation Between Samsung Electronics and Namyang Dairy
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Namyang Dairy 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 Namyang Dairy 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 Namyang Dairy Products, you can compare the effects of market volatilities on Samsung Electronics and Namyang Dairy 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 Namyang Dairy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Namyang Dairy.
Diversification Opportunities for Samsung Electronics and Namyang Dairy
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Namyang is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Namyang Dairy Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Namyang Dairy Products 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 Namyang Dairy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Namyang Dairy Products has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Namyang Dairy go up and down completely randomly.
Pair Corralation between Samsung Electronics and Namyang Dairy
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Namyang Dairy. In addition to that, Samsung Electronics is 1.21 times more volatile than Namyang Dairy Products. It trades about -0.09 of its total potential returns per unit of risk. Namyang Dairy Products is currently generating about -0.02 per unit of volatility. If you would invest 3,818,624 in Namyang Dairy Products on September 29, 2024 and sell it today you would lose (118,624) from holding Namyang Dairy Products or give up 3.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 86.89% |
Values | Daily Returns |
Samsung Electronics Co vs. Namyang Dairy Products
Performance |
Timeline |
Samsung Electronics |
Namyang Dairy Products |
Samsung Electronics and Namyang Dairy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Namyang Dairy
The main advantage of trading using opposite Samsung Electronics and Namyang Dairy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Namyang Dairy 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 Namyang Dairy will offset losses from the drop in Namyang Dairy's long position.Samsung Electronics vs. LG Corp | Samsung Electronics vs. Zinus Inc | Samsung Electronics vs. Humasis Co | Samsung Electronics vs. JYP Entertainment |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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