Correlation Between Kennedy Wilson and Sotherly Hotels
Can any of the company-specific risk be diversified away by investing in both Kennedy Wilson and Sotherly Hotels 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 Kennedy Wilson and Sotherly Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kennedy Wilson Holdings and Sotherly Hotels Series, you can compare the effects of market volatilities on Kennedy Wilson and Sotherly Hotels 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 Kennedy Wilson with a short position of Sotherly Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kennedy Wilson and Sotherly Hotels.
Diversification Opportunities for Kennedy Wilson and Sotherly Hotels
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kennedy and Sotherly is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Kennedy Wilson Holdings and Sotherly Hotels Series in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sotherly Hotels Series and Kennedy Wilson 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 Kennedy Wilson Holdings are associated (or correlated) with Sotherly Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sotherly Hotels Series has no effect on the direction of Kennedy Wilson i.e., Kennedy Wilson and Sotherly Hotels go up and down completely randomly.
Pair Corralation between Kennedy Wilson and Sotherly Hotels
Allowing for the 90-day total investment horizon Kennedy Wilson Holdings is expected to generate 1.49 times more return on investment than Sotherly Hotels. However, Kennedy Wilson is 1.49 times more volatile than Sotherly Hotels Series. It trades about -0.01 of its potential returns per unit of risk. Sotherly Hotels Series is currently generating about -0.05 per unit of risk. If you would invest 1,115 in Kennedy Wilson Holdings on September 16, 2024 and sell it today you would lose (30.00) from holding Kennedy Wilson Holdings or give up 2.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kennedy Wilson Holdings vs. Sotherly Hotels Series
Performance |
Timeline |
Kennedy Wilson Holdings |
Sotherly Hotels Series |
Kennedy Wilson and Sotherly Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kennedy Wilson and Sotherly Hotels
The main advantage of trading using opposite Kennedy Wilson and Sotherly Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kennedy Wilson position performs unexpectedly, Sotherly Hotels 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 Sotherly Hotels will offset losses from the drop in Sotherly Hotels' long position.Kennedy Wilson vs. Frp Holdings Ord | Kennedy Wilson vs. Transcontinental Realty Investors | Kennedy Wilson vs. J W Mays | Kennedy Wilson vs. Anywhere Real Estate |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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