Correlation Between Strickland Metals and Austco Healthcare
Can any of the company-specific risk be diversified away by investing in both Strickland Metals and Austco Healthcare 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 Strickland Metals and Austco Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Strickland Metals and Austco Healthcare, you can compare the effects of market volatilities on Strickland Metals and Austco Healthcare 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 Strickland Metals with a short position of Austco Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Strickland Metals and Austco Healthcare.
Diversification Opportunities for Strickland Metals and Austco Healthcare
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Strickland and Austco is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Strickland Metals and Austco Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Austco Healthcare and Strickland Metals 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 Strickland Metals are associated (or correlated) with Austco Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Austco Healthcare has no effect on the direction of Strickland Metals i.e., Strickland Metals and Austco Healthcare go up and down completely randomly.
Pair Corralation between Strickland Metals and Austco Healthcare
Assuming the 90 days trading horizon Strickland Metals is expected to generate 1.25 times less return on investment than Austco Healthcare. In addition to that, Strickland Metals is 2.55 times more volatile than Austco Healthcare. It trades about 0.09 of its total potential returns per unit of risk. Austco Healthcare is currently generating about 0.29 per unit of volatility. If you would invest 24.00 in Austco Healthcare on September 22, 2024 and sell it today you would earn a total of 3.00 from holding Austco Healthcare or generate 12.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Strickland Metals vs. Austco Healthcare
Performance |
Timeline |
Strickland Metals |
Austco Healthcare |
Strickland Metals and Austco Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Strickland Metals and Austco Healthcare
The main advantage of trading using opposite Strickland Metals and Austco Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Strickland Metals position performs unexpectedly, Austco Healthcare 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 Austco Healthcare will offset losses from the drop in Austco Healthcare's long position.Strickland Metals vs. Northern Star Resources | Strickland Metals vs. Evolution Mining | Strickland Metals vs. Bluescope Steel | Strickland Metals vs. Sandfire Resources NL |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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