Correlation Between Samsung Electronics and Nasmedia
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Nasmedia 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 Nasmedia 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 Nasmedia Co, you can compare the effects of market volatilities on Samsung Electronics and Nasmedia 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 Nasmedia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Nasmedia.
Diversification Opportunities for Samsung Electronics and Nasmedia
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samsung and Nasmedia is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Nasmedia Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nasmedia 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 Nasmedia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasmedia has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Nasmedia go up and down completely randomly.
Pair Corralation between Samsung Electronics and Nasmedia
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Nasmedia. In addition to that, Samsung Electronics is 1.37 times more volatile than Nasmedia Co. It trades about -0.1 of its total potential returns per unit of risk. Nasmedia Co is currently generating about -0.01 per unit of volatility. If you would invest 1,560,000 in Nasmedia Co on September 23, 2024 and sell it today you would lose (33,000) from holding Nasmedia Co or give up 2.12% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Nasmedia Co
Performance |
Timeline |
Samsung Electronics |
Nasmedia |
Samsung Electronics and Nasmedia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Nasmedia
The main advantage of trading using opposite Samsung Electronics and Nasmedia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Nasmedia 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 Nasmedia will offset losses from the drop in Nasmedia's long position.Samsung Electronics vs. Dongsin Engineering Construction | Samsung Electronics vs. Doosan Fuel Cell | Samsung Electronics vs. Daishin Balance 1 | Samsung Electronics vs. Total Soft Bank |
Nasmedia vs. Samsung Electronics Co | Nasmedia vs. Samsung Electronics Co | Nasmedia vs. KB Financial Group | Nasmedia vs. Shinhan Financial Group |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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