Correlation Between CompuGroup Medical and INSURANCE AUST
Can any of the company-specific risk be diversified away by investing in both CompuGroup Medical and INSURANCE AUST 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 CompuGroup Medical and INSURANCE AUST into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CompuGroup Medical SE and INSURANCE AUST GRP, you can compare the effects of market volatilities on CompuGroup Medical and INSURANCE AUST 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 CompuGroup Medical with a short position of INSURANCE AUST. Check out your portfolio center. Please also check ongoing floating volatility patterns of CompuGroup Medical and INSURANCE AUST.
Diversification Opportunities for CompuGroup Medical and INSURANCE AUST
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CompuGroup and INSURANCE is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding CompuGroup Medical SE and INSURANCE AUST GRP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on INSURANCE AUST GRP and CompuGroup Medical 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 CompuGroup Medical SE are associated (or correlated) with INSURANCE AUST. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of INSURANCE AUST GRP has no effect on the direction of CompuGroup Medical i.e., CompuGroup Medical and INSURANCE AUST go up and down completely randomly.
Pair Corralation between CompuGroup Medical and INSURANCE AUST
Assuming the 90 days trading horizon CompuGroup Medical SE is expected to generate 2.89 times more return on investment than INSURANCE AUST. However, CompuGroup Medical is 2.89 times more volatile than INSURANCE AUST GRP. It trades about 0.19 of its potential returns per unit of risk. INSURANCE AUST GRP is currently generating about 0.14 per unit of risk. If you would invest 1,357 in CompuGroup Medical SE on October 22, 2024 and sell it today you would earn a total of 853.00 from holding CompuGroup Medical SE or generate 62.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CompuGroup Medical SE vs. INSURANCE AUST GRP
Performance |
Timeline |
CompuGroup Medical |
INSURANCE AUST GRP |
CompuGroup Medical and INSURANCE AUST Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CompuGroup Medical and INSURANCE AUST
The main advantage of trading using opposite CompuGroup Medical and INSURANCE AUST positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CompuGroup Medical position performs unexpectedly, INSURANCE AUST 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 INSURANCE AUST will offset losses from the drop in INSURANCE AUST's long position.CompuGroup Medical vs. HK Electric Investments | CompuGroup Medical vs. Guangdong Investment Limited | CompuGroup Medical vs. Geely Automobile Holdings | CompuGroup Medical vs. Virtus Investment Partners |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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