Correlation Between Samsung Electronics and Xinyi Solar
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Xinyi Solar 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 Xinyi Solar 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 Xinyi Solar Holdings, you can compare the effects of market volatilities on Samsung Electronics and Xinyi Solar 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 Xinyi Solar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Xinyi Solar.
Diversification Opportunities for Samsung Electronics and Xinyi Solar
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Xinyi is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Xinyi Solar Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Xinyi Solar Holdings 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 Xinyi Solar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Xinyi Solar Holdings has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Xinyi Solar go up and down completely randomly.
Pair Corralation between Samsung Electronics and Xinyi Solar
Assuming the 90 days horizon Samsung Electronics Co is expected to generate 0.77 times more return on investment than Xinyi Solar. However, Samsung Electronics Co is 1.29 times less risky than Xinyi Solar. It trades about -0.08 of its potential returns per unit of risk. Xinyi Solar Holdings is currently generating about -0.07 per unit of risk. If you would invest 98,200 in Samsung Electronics Co on September 2, 2024 and sell it today you would lose (5,800) from holding Samsung Electronics Co or give up 5.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Xinyi Solar Holdings
Performance |
Timeline |
Samsung Electronics |
Xinyi Solar Holdings |
Samsung Electronics and Xinyi Solar Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Xinyi Solar
The main advantage of trading using opposite Samsung Electronics and Xinyi Solar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Xinyi Solar 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 Xinyi Solar will offset losses from the drop in Xinyi Solar's long position.Samsung Electronics vs. SLR Investment Corp | Samsung Electronics vs. APPLIED MATERIALS | Samsung Electronics vs. Mitsubishi Materials | Samsung Electronics vs. REGAL ASIAN INVESTMENTS |
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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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