Correlation Between Siemens Aktiengesellscha and Ballard Power
Can any of the company-specific risk be diversified away by investing in both Siemens Aktiengesellscha and Ballard Power 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 Siemens Aktiengesellscha and Ballard Power into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Siemens Aktiengesellschaft and Ballard Power Systems, you can compare the effects of market volatilities on Siemens Aktiengesellscha and Ballard Power 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 Siemens Aktiengesellscha with a short position of Ballard Power. Check out your portfolio center. Please also check ongoing floating volatility patterns of Siemens Aktiengesellscha and Ballard Power.
Diversification Opportunities for Siemens Aktiengesellscha and Ballard Power
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Siemens and Ballard is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Siemens Aktiengesellschaft and Ballard Power Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ballard Power Systems and Siemens Aktiengesellscha 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 Siemens Aktiengesellschaft are associated (or correlated) with Ballard Power. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ballard Power Systems has no effect on the direction of Siemens Aktiengesellscha i.e., Siemens Aktiengesellscha and Ballard Power go up and down completely randomly.
Pair Corralation between Siemens Aktiengesellscha and Ballard Power
Assuming the 90 days horizon Siemens Aktiengesellschaft is expected to generate 0.38 times more return on investment than Ballard Power. However, Siemens Aktiengesellschaft is 2.62 times less risky than Ballard Power. It trades about 0.06 of its potential returns per unit of risk. Ballard Power Systems is currently generating about -0.05 per unit of risk. If you would invest 12,495 in Siemens Aktiengesellschaft on August 29, 2024 and sell it today you would earn a total of 5,481 from holding Siemens Aktiengesellschaft or generate 43.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Siemens Aktiengesellschaft vs. Ballard Power Systems
Performance |
Timeline |
Siemens Aktiengesellscha |
Ballard Power Systems |
Siemens Aktiengesellscha and Ballard Power Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Siemens Aktiengesellscha and Ballard Power
The main advantage of trading using opposite Siemens Aktiengesellscha and Ballard Power positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Siemens Aktiengesellscha position performs unexpectedly, Ballard Power 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 Ballard Power will offset losses from the drop in Ballard Power's long position.Siemens Aktiengesellscha vs. CarsalesCom | Siemens Aktiengesellscha vs. Park Hotels Resorts | Siemens Aktiengesellscha vs. BOS BETTER ONLINE | Siemens Aktiengesellscha vs. Host Hotels Resorts |
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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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