Correlation Between Samsung Electronics and Bertrandt
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Bertrandt 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 Bertrandt 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 Bertrandt AG, you can compare the effects of market volatilities on Samsung Electronics and Bertrandt 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 Bertrandt. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Bertrandt.
Diversification Opportunities for Samsung Electronics and Bertrandt
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samsung and Bertrandt is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Bertrandt AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bertrandt AG 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 Bertrandt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bertrandt AG has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Bertrandt go up and down completely randomly.
Pair Corralation between Samsung Electronics and Bertrandt
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Bertrandt. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.12 times less risky than Bertrandt. The stock trades about -0.21 of its potential returns per unit of risk. The Bertrandt AG is currently generating about -0.1 of returns per unit of risk over similar time horizon. If you would invest 2,160 in Bertrandt AG on September 5, 2024 and sell it today you would lose (392.00) from holding Bertrandt AG or give up 18.15% 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. Bertrandt AG
Performance |
Timeline |
Samsung Electronics |
Bertrandt AG |
Samsung Electronics and Bertrandt Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Bertrandt
The main advantage of trading using opposite Samsung Electronics and Bertrandt positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Bertrandt 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 Bertrandt will offset losses from the drop in Bertrandt's long position.Samsung Electronics vs. Ashtead Technology Holdings | Samsung Electronics vs. Invesco Physical Silver | Samsung Electronics vs. Pfeiffer Vacuum Technology | Samsung Electronics vs. Caledonia Mining |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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