Correlation Between Westinghouse Air and Heramba Electric
Can any of the company-specific risk be diversified away by investing in both Westinghouse Air and Heramba Electric 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 Westinghouse Air and Heramba Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Westinghouse Air Brake and Heramba Electric plc, you can compare the effects of market volatilities on Westinghouse Air and Heramba Electric 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 Westinghouse Air with a short position of Heramba Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Westinghouse Air and Heramba Electric.
Diversification Opportunities for Westinghouse Air and Heramba Electric
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Westinghouse and Heramba is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Westinghouse Air Brake and Heramba Electric plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Heramba Electric plc and Westinghouse Air 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 Westinghouse Air Brake are associated (or correlated) with Heramba Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Heramba Electric plc has no effect on the direction of Westinghouse Air i.e., Westinghouse Air and Heramba Electric go up and down completely randomly.
Pair Corralation between Westinghouse Air and Heramba Electric
Considering the 90-day investment horizon Westinghouse Air Brake is expected to generate 0.22 times more return on investment than Heramba Electric. However, Westinghouse Air Brake is 4.6 times less risky than Heramba Electric. It trades about -0.12 of its potential returns per unit of risk. Heramba Electric plc is currently generating about -0.32 per unit of risk. If you would invest 20,169 in Westinghouse Air Brake on November 18, 2024 and sell it today you would lose (1,350) from holding Westinghouse Air Brake or give up 6.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Westinghouse Air Brake vs. Heramba Electric plc
Performance |
Timeline |
Westinghouse Air Brake |
Heramba Electric plc |
Westinghouse Air and Heramba Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Westinghouse Air and Heramba Electric
The main advantage of trading using opposite Westinghouse Air and Heramba Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Westinghouse Air position performs unexpectedly, Heramba Electric 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 Heramba Electric will offset losses from the drop in Heramba Electric's long position.Westinghouse Air vs. Greenbrier Companies | Westinghouse Air vs. LB Foster | Westinghouse Air vs. Freightcar America | Westinghouse Air vs. CSX Corporation |
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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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