Correlation Between Insurance Australia and LION ONE
Can any of the company-specific risk be diversified away by investing in both Insurance Australia and LION ONE 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 LION ONE 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 LION ONE METALS, you can compare the effects of market volatilities on Insurance Australia and LION ONE 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 LION ONE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Insurance Australia and LION ONE.
Diversification Opportunities for Insurance Australia and LION ONE
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Insurance and LION is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Insurance Australia Group and LION ONE METALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LION ONE METALS 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 LION ONE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LION ONE METALS has no effect on the direction of Insurance Australia i.e., Insurance Australia and LION ONE go up and down completely randomly.
Pair Corralation between Insurance Australia and LION ONE
Assuming the 90 days horizon Insurance Australia Group is expected to under-perform the LION ONE. But the stock apears to be less risky and, when comparing its historical volatility, Insurance Australia Group is 2.92 times less risky than LION ONE. The stock trades about -0.06 of its potential returns per unit of risk. The LION ONE METALS is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 15.00 in LION ONE METALS on December 30, 2024 and sell it today you would earn a total of 5.00 from holding LION ONE METALS or generate 33.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Insurance Australia Group vs. LION ONE METALS
Performance |
Timeline |
Insurance Australia |
LION ONE METALS |
Insurance Australia and LION ONE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Insurance Australia and LION ONE
The main advantage of trading using opposite Insurance Australia and LION ONE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Insurance Australia position performs unexpectedly, LION ONE 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 LION ONE will offset losses from the drop in LION ONE's long position.Insurance Australia vs. Ross Stores | Insurance Australia vs. MARKET VECTR RETAIL | Insurance Australia vs. MCEWEN MINING INC | Insurance Australia vs. ANGLO ASIAN MINING |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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