Correlation Between Medibank Private and Thorney Technologies
Can any of the company-specific risk be diversified away by investing in both Medibank Private and Thorney Technologies 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 Medibank Private and Thorney Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Medibank Private and Thorney Technologies, you can compare the effects of market volatilities on Medibank Private and Thorney Technologies 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 Medibank Private with a short position of Thorney Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Medibank Private and Thorney Technologies.
Diversification Opportunities for Medibank Private and Thorney Technologies
-0.41 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Medibank and Thorney is -0.41. Overlapping area represents the amount of risk that can be diversified away by holding Medibank Private and Thorney Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thorney Technologies and Medibank Private 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 Medibank Private are associated (or correlated) with Thorney Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thorney Technologies has no effect on the direction of Medibank Private i.e., Medibank Private and Thorney Technologies go up and down completely randomly.
Pair Corralation between Medibank Private and Thorney Technologies
Assuming the 90 days trading horizon Medibank Private is expected to generate 0.29 times more return on investment than Thorney Technologies. However, Medibank Private is 3.44 times less risky than Thorney Technologies. It trades about 0.16 of its potential returns per unit of risk. Thorney Technologies is currently generating about 0.02 per unit of risk. If you would invest 360.00 in Medibank Private on October 6, 2024 and sell it today you would earn a total of 22.00 from holding Medibank Private or generate 6.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Medibank Private vs. Thorney Technologies
Performance |
Timeline |
Medibank Private |
Thorney Technologies |
Medibank Private and Thorney Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Medibank Private and Thorney Technologies
The main advantage of trading using opposite Medibank Private and Thorney Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Medibank Private position performs unexpectedly, Thorney Technologies 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 Thorney Technologies will offset losses from the drop in Thorney Technologies' long position.Medibank Private vs. Premier Investments | Medibank Private vs. Carlton Investments | Medibank Private vs. Kneomedia | Medibank Private vs. Infomedia |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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