Correlation Between FIREWEED METALS and Westinghouse Air
Can any of the company-specific risk be diversified away by investing in both FIREWEED METALS and Westinghouse Air 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 FIREWEED METALS and Westinghouse Air into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FIREWEED METALS P and Westinghouse Air Brake, you can compare the effects of market volatilities on FIREWEED METALS and Westinghouse Air 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 FIREWEED METALS with a short position of Westinghouse Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of FIREWEED METALS and Westinghouse Air.
Diversification Opportunities for FIREWEED METALS and Westinghouse Air
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between FIREWEED and Westinghouse is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding FIREWEED METALS P and Westinghouse Air Brake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Westinghouse Air Brake and FIREWEED METALS 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 FIREWEED METALS P are associated (or correlated) with Westinghouse Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Westinghouse Air Brake has no effect on the direction of FIREWEED METALS i.e., FIREWEED METALS and Westinghouse Air go up and down completely randomly.
Pair Corralation between FIREWEED METALS and Westinghouse Air
Assuming the 90 days horizon FIREWEED METALS P is expected to generate 1.66 times more return on investment than Westinghouse Air. However, FIREWEED METALS is 1.66 times more volatile than Westinghouse Air Brake. It trades about 0.08 of its potential returns per unit of risk. Westinghouse Air Brake is currently generating about -0.05 per unit of risk. If you would invest 93.00 in FIREWEED METALS P on December 24, 2024 and sell it today you would earn a total of 12.00 from holding FIREWEED METALS P or generate 12.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FIREWEED METALS P vs. Westinghouse Air Brake
Performance |
Timeline |
FIREWEED METALS P |
Westinghouse Air Brake |
FIREWEED METALS and Westinghouse Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FIREWEED METALS and Westinghouse Air
The main advantage of trading using opposite FIREWEED METALS and Westinghouse Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FIREWEED METALS position performs unexpectedly, Westinghouse Air 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 Westinghouse Air will offset losses from the drop in Westinghouse Air's long position.FIREWEED METALS vs. JLF INVESTMENT | FIREWEED METALS vs. Sumitomo Chemical | FIREWEED METALS vs. REGAL ASIAN INVESTMENTS | FIREWEED METALS vs. KINGBOARD CHEMICAL |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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