Correlation Between Brockhaus Capital and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Brockhaus Capital and Samsung Electronics 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 Brockhaus Capital and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brockhaus Capital Management and Samsung Electronics Co, you can compare the effects of market volatilities on Brockhaus Capital and Samsung Electronics 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 Brockhaus Capital with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brockhaus Capital and Samsung Electronics.
Diversification Opportunities for Brockhaus Capital and Samsung Electronics
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Brockhaus and Samsung is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Brockhaus Capital Management and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Brockhaus Capital 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 Brockhaus Capital Management are associated (or correlated) with Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of Brockhaus Capital i.e., Brockhaus Capital and Samsung Electronics go up and down completely randomly.
Pair Corralation between Brockhaus Capital and Samsung Electronics
Assuming the 90 days trading horizon Brockhaus Capital Management is expected to generate 1.09 times more return on investment than Samsung Electronics. However, Brockhaus Capital is 1.09 times more volatile than Samsung Electronics Co. It trades about -0.07 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.15 per unit of risk. If you would invest 2,730 in Brockhaus Capital Management on September 26, 2024 and sell it today you would lose (340.00) from holding Brockhaus Capital Management or give up 12.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Brockhaus Capital Management vs. Samsung Electronics Co
Performance |
Timeline |
Brockhaus Capital |
Samsung Electronics |
Brockhaus Capital and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brockhaus Capital and Samsung Electronics
The main advantage of trading using opposite Brockhaus Capital and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brockhaus Capital position performs unexpectedly, Samsung Electronics 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 Electronics will offset losses from the drop in Samsung Electronics' long position.Brockhaus Capital vs. Blackstone Group | Brockhaus Capital vs. The Bank of | Brockhaus Capital vs. Ameriprise Financial | Brockhaus Capital vs. State Street |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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