Correlation Between CHINA SOUTHN and Gruppo Mutuionline
Can any of the company-specific risk be diversified away by investing in both CHINA SOUTHN and Gruppo Mutuionline 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 Gruppo Mutuionline 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 Gruppo Mutuionline SpA, you can compare the effects of market volatilities on CHINA SOUTHN and Gruppo Mutuionline 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 Gruppo Mutuionline. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA SOUTHN and Gruppo Mutuionline.
Diversification Opportunities for CHINA SOUTHN and Gruppo Mutuionline
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CHINA and Gruppo is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding CHINA SOUTHN AIR H and Gruppo Mutuionline SpA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gruppo Mutuionline SpA 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 Gruppo Mutuionline. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gruppo Mutuionline SpA has no effect on the direction of CHINA SOUTHN i.e., CHINA SOUTHN and Gruppo Mutuionline go up and down completely randomly.
Pair Corralation between CHINA SOUTHN and Gruppo Mutuionline
Assuming the 90 days trading horizon CHINA SOUTHN AIR H is expected to generate 1.51 times more return on investment than Gruppo Mutuionline. However, CHINA SOUTHN is 1.51 times more volatile than Gruppo Mutuionline SpA. It trades about 0.14 of its potential returns per unit of risk. Gruppo Mutuionline SpA is currently generating about 0.09 per unit of risk. If you would invest 36.00 in CHINA SOUTHN AIR H on October 25, 2024 and sell it today you would earn a total of 9.00 from holding CHINA SOUTHN AIR H or generate 25.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA SOUTHN AIR H vs. Gruppo Mutuionline SpA
Performance |
Timeline |
CHINA SOUTHN AIR |
Gruppo Mutuionline SpA |
CHINA SOUTHN and Gruppo Mutuionline Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA SOUTHN and Gruppo Mutuionline
The main advantage of trading using opposite CHINA SOUTHN and Gruppo Mutuionline positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA SOUTHN position performs unexpectedly, Gruppo Mutuionline 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 Gruppo Mutuionline will offset losses from the drop in Gruppo Mutuionline's long position.CHINA SOUTHN vs. RYANAIR HLDGS ADR | CHINA SOUTHN vs. Westinghouse Air Brake | CHINA SOUTHN vs. BROADWIND ENRGY | CHINA SOUTHN vs. Delta Air Lines |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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