Correlation Between Induction Healthcare and Public Storage
Can any of the company-specific risk be diversified away by investing in both Induction Healthcare and Public Storage 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 Induction Healthcare and Public Storage into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Induction Healthcare Group and Public Storage, you can compare the effects of market volatilities on Induction Healthcare and Public Storage 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 Induction Healthcare with a short position of Public Storage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Induction Healthcare and Public Storage.
Diversification Opportunities for Induction Healthcare and Public Storage
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Induction and Public is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Induction Healthcare Group and Public Storage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Public Storage and Induction Healthcare 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 Induction Healthcare Group are associated (or correlated) with Public Storage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Public Storage has no effect on the direction of Induction Healthcare i.e., Induction Healthcare and Public Storage go up and down completely randomly.
Pair Corralation between Induction Healthcare and Public Storage
Assuming the 90 days trading horizon Induction Healthcare Group is expected to under-perform the Public Storage. In addition to that, Induction Healthcare is 3.16 times more volatile than Public Storage. It trades about -0.03 of its total potential returns per unit of risk. Public Storage is currently generating about 0.05 per unit of volatility. If you would invest 27,758 in Public Storage on August 28, 2024 and sell it today you would earn a total of 6,927 from holding Public Storage or generate 24.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.44% |
Values | Daily Returns |
Induction Healthcare Group vs. Public Storage
Performance |
Timeline |
Induction Healthcare |
Public Storage |
Induction Healthcare and Public Storage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Induction Healthcare and Public Storage
The main advantage of trading using opposite Induction Healthcare and Public Storage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Induction Healthcare position performs unexpectedly, Public Storage 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 Public Storage will offset losses from the drop in Public Storage's long position.Induction Healthcare vs. Home Depot | Induction Healthcare vs. Weiss Korea Opportunity | Induction Healthcare vs. Chrysalis Investments | Induction Healthcare vs. Coca Cola Co |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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