Correlation Between Insurance Australia and INSURANCE AUST
Can any of the company-specific risk be diversified away by investing in both Insurance Australia 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 Insurance Australia and INSURANCE AUST into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Insurance Australia Group and INSURANCE AUST GRP, you can compare the effects of market volatilities on Insurance Australia 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 Insurance Australia with a short position of INSURANCE AUST. Check out your portfolio center. Please also check ongoing floating volatility patterns of Insurance Australia and INSURANCE AUST.
Diversification Opportunities for Insurance Australia and INSURANCE AUST
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Insurance and INSURANCE is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Insurance Australia Group 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 Insurance Australia 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 Australia Group 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 Insurance Australia i.e., Insurance Australia and INSURANCE AUST go up and down completely randomly.
Pair Corralation between Insurance Australia and INSURANCE AUST
Assuming the 90 days horizon Insurance Australia Group is expected to generate 1.11 times more return on investment than INSURANCE AUST. However, Insurance Australia is 1.11 times more volatile than INSURANCE AUST GRP. It trades about 0.12 of its potential returns per unit of risk. INSURANCE AUST GRP is currently generating about 0.1 per unit of risk. If you would invest 456.00 in Insurance Australia Group on September 19, 2024 and sell it today you would earn a total of 59.00 from holding Insurance Australia Group or generate 12.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.46% |
Values | Daily Returns |
Insurance Australia Group vs. INSURANCE AUST GRP
Performance |
Timeline |
Insurance Australia |
INSURANCE AUST GRP |
Insurance Australia and INSURANCE AUST Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Insurance Australia and INSURANCE AUST
The main advantage of trading using opposite Insurance Australia and INSURANCE AUST positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Insurance Australia 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.Insurance Australia vs. Evolution Mining Limited | Insurance Australia vs. UNITED UTILITIES GR | Insurance Australia vs. United Utilities Group | Insurance Australia vs. Playtech plc |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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