Correlation Between Samsung Electronics and Thyssenkrupp
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Thyssenkrupp 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 Thyssenkrupp 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 Thyssenkrupp AG ON, you can compare the effects of market volatilities on Samsung Electronics and Thyssenkrupp 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 Thyssenkrupp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Thyssenkrupp.
Diversification Opportunities for Samsung Electronics and Thyssenkrupp
-0.49 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Thyssenkrupp is -0.49. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Thyssenkrupp AG ON in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thyssenkrupp AG ON 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 Thyssenkrupp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thyssenkrupp AG ON has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Thyssenkrupp go up and down completely randomly.
Pair Corralation between Samsung Electronics and Thyssenkrupp
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Thyssenkrupp. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.51 times less risky than Thyssenkrupp. The stock trades about -0.17 of its potential returns per unit of risk. The Thyssenkrupp AG ON is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 316.00 in Thyssenkrupp AG ON on September 3, 2024 and sell it today you would earn a total of 71.00 from holding Thyssenkrupp AG ON or generate 22.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Thyssenkrupp AG ON
Performance |
Timeline |
Samsung Electronics |
Thyssenkrupp AG ON |
Samsung Electronics and Thyssenkrupp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Thyssenkrupp
The main advantage of trading using opposite Samsung Electronics and Thyssenkrupp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Thyssenkrupp 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 Thyssenkrupp will offset losses from the drop in Thyssenkrupp's long position.Samsung Electronics vs. Coeur Mining | Samsung Electronics vs. Zoom Video Communications | Samsung Electronics vs. mobilezone holding AG | Samsung Electronics vs. Thor Mining PLC |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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