Correlation Between Bridgemarq Real and Kennedy Wilson
Can any of the company-specific risk be diversified away by investing in both Bridgemarq Real and Kennedy Wilson 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 Bridgemarq Real and Kennedy Wilson into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bridgemarq Real Estate and Kennedy Wilson Holdings, you can compare the effects of market volatilities on Bridgemarq Real and Kennedy Wilson 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 Bridgemarq Real with a short position of Kennedy Wilson. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bridgemarq Real and Kennedy Wilson.
Diversification Opportunities for Bridgemarq Real and Kennedy Wilson
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bridgemarq and Kennedy is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Bridgemarq Real Estate and Kennedy Wilson Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kennedy Wilson Holdings and Bridgemarq Real 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 Bridgemarq Real Estate are associated (or correlated) with Kennedy Wilson. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kennedy Wilson Holdings has no effect on the direction of Bridgemarq Real i.e., Bridgemarq Real and Kennedy Wilson go up and down completely randomly.
Pair Corralation between Bridgemarq Real and Kennedy Wilson
Assuming the 90 days horizon Bridgemarq Real Estate is expected to generate 0.75 times more return on investment than Kennedy Wilson. However, Bridgemarq Real Estate is 1.34 times less risky than Kennedy Wilson. It trades about 0.08 of its potential returns per unit of risk. Kennedy Wilson Holdings is currently generating about 0.01 per unit of risk. If you would invest 988.00 in Bridgemarq Real Estate on September 14, 2024 and sell it today you would earn a total of 58.00 from holding Bridgemarq Real Estate or generate 5.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 92.06% |
Values | Daily Returns |
Bridgemarq Real Estate vs. Kennedy Wilson Holdings
Performance |
Timeline |
Bridgemarq Real Estate |
Kennedy Wilson Holdings |
Bridgemarq Real and Kennedy Wilson Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bridgemarq Real and Kennedy Wilson
The main advantage of trading using opposite Bridgemarq Real and Kennedy Wilson positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bridgemarq Real position performs unexpectedly, Kennedy Wilson 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 Kennedy Wilson will offset losses from the drop in Kennedy Wilson's long position.Bridgemarq Real vs. Kennedy Wilson Holdings | Bridgemarq Real vs. CoStar Group | Bridgemarq Real vs. Frp Holdings Ord | Bridgemarq Real vs. IRSA Inversiones Y |
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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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