Correlation Between CHINA SOUTHN and SWISS WATER
Can any of the company-specific risk be diversified away by investing in both CHINA SOUTHN and SWISS WATER 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 CHINA SOUTHN and SWISS WATER into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA SOUTHN AIR H and SWISS WATER DECAFFCOFFEE, you can compare the effects of market volatilities on CHINA SOUTHN and SWISS WATER 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 CHINA SOUTHN with a short position of SWISS WATER. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA SOUTHN and SWISS WATER.
Diversification Opportunities for CHINA SOUTHN and SWISS WATER
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CHINA and SWISS is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding CHINA SOUTHN AIR H and SWISS WATER DECAFFCOFFEE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SWISS WATER DECAFFCOFFEE and CHINA SOUTHN 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 CHINA SOUTHN AIR H are associated (or correlated) with SWISS WATER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SWISS WATER DECAFFCOFFEE has no effect on the direction of CHINA SOUTHN i.e., CHINA SOUTHN and SWISS WATER go up and down completely randomly.
Pair Corralation between CHINA SOUTHN and SWISS WATER
Assuming the 90 days trading horizon CHINA SOUTHN AIR H is expected to generate 0.94 times more return on investment than SWISS WATER. However, CHINA SOUTHN AIR H is 1.06 times less risky than SWISS WATER. It trades about -0.05 of its potential returns per unit of risk. SWISS WATER DECAFFCOFFEE is currently generating about -0.08 per unit of risk. If you would invest 51.00 in CHINA SOUTHN AIR H on December 21, 2024 and sell it today you would lose (5.00) from holding CHINA SOUTHN AIR H or give up 9.8% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA SOUTHN AIR H vs. SWISS WATER DECAFFCOFFEE
Performance |
Timeline |
CHINA SOUTHN AIR |
SWISS WATER DECAFFCOFFEE |
CHINA SOUTHN and SWISS WATER Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA SOUTHN and SWISS WATER
The main advantage of trading using opposite CHINA SOUTHN and SWISS WATER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA SOUTHN position performs unexpectedly, SWISS WATER 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 SWISS WATER will offset losses from the drop in SWISS WATER's long position.CHINA SOUTHN vs. GOLDQUEST MINING | CHINA SOUTHN vs. Perseus Mining Limited | CHINA SOUTHN vs. BG Foods | CHINA SOUTHN vs. Harmony Gold Mining |
SWISS WATER vs. Sligro Food Group | SWISS WATER vs. United Natural Foods | SWISS WATER vs. ARDAGH METAL PACDL 0001 | SWISS WATER vs. Nomad Foods |
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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