Correlation Between Sanbo Hospital and Agricultural Bank
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By analyzing existing cross correlation between Sanbo Hospital Management and Agricultural Bank of, you can compare the effects of market volatilities on Sanbo Hospital and Agricultural Bank 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 Sanbo Hospital with a short position of Agricultural Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sanbo Hospital and Agricultural Bank.
Diversification Opportunities for Sanbo Hospital and Agricultural Bank
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sanbo and Agricultural is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Sanbo Hospital Management and Agricultural Bank of in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agricultural Bank and Sanbo Hospital 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 Sanbo Hospital Management are associated (or correlated) with Agricultural Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agricultural Bank has no effect on the direction of Sanbo Hospital i.e., Sanbo Hospital and Agricultural Bank go up and down completely randomly.
Pair Corralation between Sanbo Hospital and Agricultural Bank
Assuming the 90 days trading horizon Sanbo Hospital Management is expected to generate 1.74 times more return on investment than Agricultural Bank. However, Sanbo Hospital is 1.74 times more volatile than Agricultural Bank of. It trades about 0.29 of its potential returns per unit of risk. Agricultural Bank of is currently generating about -0.08 per unit of risk. If you would invest 4,215 in Sanbo Hospital Management on November 8, 2024 and sell it today you would earn a total of 483.00 from holding Sanbo Hospital Management or generate 11.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 94.12% |
Values | Daily Returns |
Sanbo Hospital Management vs. Agricultural Bank of
Performance |
Timeline |
Sanbo Hospital Management |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Agricultural Bank |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Modest
Sanbo Hospital and Agricultural Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sanbo Hospital and Agricultural Bank
The main advantage of trading using opposite Sanbo Hospital and Agricultural Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sanbo Hospital position performs unexpectedly, Agricultural Bank 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 Agricultural Bank will offset losses from the drop in Agricultural Bank's long position.The idea behind Sanbo Hospital Management and Agricultural Bank of pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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