Correlation Between INSURANCE AUST and ZURICH INSURANCE
Can any of the company-specific risk be diversified away by investing in both INSURANCE AUST and ZURICH INSURANCE 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 INSURANCE AUST and ZURICH INSURANCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between INSURANCE AUST GRP and ZURICH INSURANCE GROUP, you can compare the effects of market volatilities on INSURANCE AUST and ZURICH INSURANCE 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 INSURANCE AUST with a short position of ZURICH INSURANCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of INSURANCE AUST and ZURICH INSURANCE.
Diversification Opportunities for INSURANCE AUST and ZURICH INSURANCE
0.93 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between INSURANCE and ZURICH is 0.93. Overlapping area represents the amount of risk that can be diversified away by holding INSURANCE AUST GRP and ZURICH INSURANCE GROUP in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZURICH INSURANCE and INSURANCE AUST 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 INSURANCE AUST GRP are associated (or correlated) with ZURICH INSURANCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZURICH INSURANCE has no effect on the direction of INSURANCE AUST i.e., INSURANCE AUST and ZURICH INSURANCE go up and down completely randomly.
Pair Corralation between INSURANCE AUST and ZURICH INSURANCE
Assuming the 90 days trading horizon INSURANCE AUST GRP is expected to generate 1.41 times more return on investment than ZURICH INSURANCE. However, INSURANCE AUST is 1.41 times more volatile than ZURICH INSURANCE GROUP. It trades about 0.08 of its potential returns per unit of risk. ZURICH INSURANCE GROUP is currently generating about 0.07 per unit of risk. If you would invest 270.00 in INSURANCE AUST GRP on September 28, 2024 and sell it today you would earn a total of 224.00 from holding INSURANCE AUST GRP or generate 82.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
INSURANCE AUST GRP vs. ZURICH INSURANCE GROUP
Performance |
Timeline |
INSURANCE AUST GRP |
ZURICH INSURANCE |
INSURANCE AUST and ZURICH INSURANCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with INSURANCE AUST and ZURICH INSURANCE
The main advantage of trading using opposite INSURANCE AUST and ZURICH INSURANCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if INSURANCE AUST position performs unexpectedly, ZURICH INSURANCE 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 ZURICH INSURANCE will offset losses from the drop in ZURICH INSURANCE's long position.INSURANCE AUST vs. Japan Asia Investment | INSURANCE AUST vs. New Residential Investment | INSURANCE AUST vs. Apollo Investment Corp | INSURANCE AUST vs. Virtus Investment Partners |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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