Correlation Between BSR Real and Medical Facilities
Can any of the company-specific risk be diversified away by investing in both BSR Real and Medical Facilities 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 BSR Real and Medical Facilities into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BSR Real Estate and Medical Facilities, you can compare the effects of market volatilities on BSR Real and Medical Facilities 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 BSR Real with a short position of Medical Facilities. Check out your portfolio center. Please also check ongoing floating volatility patterns of BSR Real and Medical Facilities.
Diversification Opportunities for BSR Real and Medical Facilities
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BSR and Medical is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding BSR Real Estate and Medical Facilities in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Medical Facilities and BSR 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 BSR Real Estate are associated (or correlated) with Medical Facilities. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Medical Facilities has no effect on the direction of BSR Real i.e., BSR Real and Medical Facilities go up and down completely randomly.
Pair Corralation between BSR Real and Medical Facilities
Assuming the 90 days trading horizon BSR Real Estate is expected to generate 1.14 times more return on investment than Medical Facilities. However, BSR Real is 1.14 times more volatile than Medical Facilities. It trades about 0.11 of its potential returns per unit of risk. Medical Facilities is currently generating about 0.05 per unit of risk. If you would invest 1,217 in BSR Real Estate on April 20, 2025 and sell it today you would earn a total of 113.00 from holding BSR Real Estate or generate 9.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BSR Real Estate vs. Medical Facilities
Performance |
Timeline |
BSR Real Estate |
Medical Facilities |
BSR Real and Medical Facilities Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BSR Real and Medical Facilities
The main advantage of trading using opposite BSR Real and Medical Facilities positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BSR Real position performs unexpectedly, Medical Facilities 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 Medical Facilities will offset losses from the drop in Medical Facilities' long position.BSR Real vs. BSR Real Estate | BSR Real vs. Dream Residential Real | BSR Real vs. BSR Real Estate | BSR Real vs. Flagship Communities Real |
Medical Facilities vs. Extendicare | Medical Facilities vs. Sienna Senior Living | Medical Facilities vs. Rogers Sugar | Medical Facilities vs. Chemtrade Logistics Income |
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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