Correlation Between Balfour Beatty and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Balfour Beatty 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 Balfour Beatty and Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Balfour Beatty plc and Samsung Electronics Co, you can compare the effects of market volatilities on Balfour Beatty 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 Balfour Beatty with a short position of Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Balfour Beatty and Samsung Electronics.
Diversification Opportunities for Balfour Beatty and Samsung Electronics
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Balfour and Samsung is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Balfour Beatty plc and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics and Balfour Beatty 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 Balfour Beatty plc 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 Balfour Beatty i.e., Balfour Beatty and Samsung Electronics go up and down completely randomly.
Pair Corralation between Balfour Beatty and Samsung Electronics
Assuming the 90 days trading horizon Balfour Beatty plc is expected to generate 0.54 times more return on investment than Samsung Electronics. However, Balfour Beatty plc is 1.86 times less risky than Samsung Electronics. It trades about 0.09 of its potential returns per unit of risk. Samsung Electronics Co is currently generating about -0.13 per unit of risk. If you would invest 42,536 in Balfour Beatty plc on October 6, 2024 and sell it today you would earn a total of 2,884 from holding Balfour Beatty plc or generate 6.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Balfour Beatty plc vs. Samsung Electronics Co
Performance |
Timeline |
Balfour Beatty plc |
Samsung Electronics |
Balfour Beatty and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Balfour Beatty and Samsung Electronics
The main advantage of trading using opposite Balfour Beatty and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Balfour Beatty 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.Balfour Beatty vs. Associated British Foods | Balfour Beatty vs. Sovereign Metals | Balfour Beatty vs. Ebro Foods | Balfour Beatty vs. Molson Coors Beverage |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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