Correlation Between Samsung Electronics and Samsung SDI
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Samsung SDI 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 Samsung SDI 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 Samsung SDI, you can compare the effects of market volatilities on Samsung Electronics and Samsung SDI 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 Samsung SDI. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Samsung SDI.
Diversification Opportunities for Samsung Electronics and Samsung SDI
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Samsung and Samsung is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Samsung SDI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung SDI 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 Samsung SDI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung SDI has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Samsung SDI go up and down completely randomly.
Pair Corralation between Samsung Electronics and Samsung SDI
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 0.77 times more return on investment than Samsung SDI. However, Samsung Electronics Co is 1.29 times less risky than Samsung SDI. It trades about -0.07 of its potential returns per unit of risk. Samsung SDI is currently generating about -0.24 per unit of risk. If you would invest 5,310,000 in Samsung Electronics Co on August 28, 2024 and sell it today you would lose (410,000) from holding Samsung Electronics Co or give up 7.72% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Samsung Electronics Co vs. Samsung SDI
Performance |
| Timeline |
| Samsung Electronics |
| Samsung SDI |
Samsung Electronics and Samsung SDI Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Samsung Electronics and Samsung SDI
The main advantage of trading using opposite Samsung Electronics and Samsung SDI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Samsung SDI 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 SDI will offset losses from the drop in Samsung SDI's long position.| Samsung Electronics vs. JYP Entertainment | Samsung Electronics vs. Samsung Heavy Industries | Samsung Electronics vs. Hanjinkal |
| Samsung SDI vs. Korea Real Estate | Samsung SDI vs. Korea Ratings Co | Samsung SDI vs. IQuest Co | Samsung SDI vs. Wonbang Tech Co |
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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