Correlation Between Insurance Australia and Boss Energy
Can any of the company-specific risk be diversified away by investing in both Insurance Australia and Boss Energy 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 Boss Energy 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 Boss Energy Limited, you can compare the effects of market volatilities on Insurance Australia and Boss Energy 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 Boss Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Insurance Australia and Boss Energy.
Diversification Opportunities for Insurance Australia and Boss Energy
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Insurance and Boss is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding Insurance Australia Group and Boss Energy Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boss Energy Limited 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 Boss Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boss Energy Limited has no effect on the direction of Insurance Australia i.e., Insurance Australia and Boss Energy go up and down completely randomly.
Pair Corralation between Insurance Australia and Boss Energy
Assuming the 90 days trading horizon Insurance Australia Group is expected to generate 0.34 times more return on investment than Boss Energy. However, Insurance Australia Group is 2.98 times less risky than Boss Energy. It trades about 0.24 of its potential returns per unit of risk. Boss Energy Limited is currently generating about 0.0 per unit of risk. If you would invest 737.00 in Insurance Australia Group on August 26, 2024 and sell it today you would earn a total of 85.00 from holding Insurance Australia Group or generate 11.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Insurance Australia Group vs. Boss Energy Limited
Performance |
Timeline |
Insurance Australia |
Boss Energy Limited |
Insurance Australia and Boss Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Insurance Australia and Boss Energy
The main advantage of trading using opposite Insurance Australia and Boss Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Insurance Australia position performs unexpectedly, Boss Energy 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 Boss Energy will offset losses from the drop in Boss Energy's long position.Insurance Australia vs. Alternative Investment Trust | Insurance Australia vs. Collins Foods | Insurance Australia vs. Platinum Asia Investments | Insurance Australia vs. Hotel Property Investments |
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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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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