Correlation Between Peel Mining and Australian Agricultural
Can any of the company-specific risk be diversified away by investing in both Peel Mining and Australian Agricultural 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 Peel Mining and Australian Agricultural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Peel Mining and Australian Agricultural, you can compare the effects of market volatilities on Peel Mining and Australian Agricultural 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 Peel Mining with a short position of Australian Agricultural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Peel Mining and Australian Agricultural.
Diversification Opportunities for Peel Mining and Australian Agricultural
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Peel and Australian is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Peel Mining and Australian Agricultural in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Australian Agricultural and Peel Mining 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 Peel Mining are associated (or correlated) with Australian Agricultural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Australian Agricultural has no effect on the direction of Peel Mining i.e., Peel Mining and Australian Agricultural go up and down completely randomly.
Pair Corralation between Peel Mining and Australian Agricultural
Assuming the 90 days trading horizon Peel Mining is expected to generate 3.19 times more return on investment than Australian Agricultural. However, Peel Mining is 3.19 times more volatile than Australian Agricultural. It trades about 0.03 of its potential returns per unit of risk. Australian Agricultural is currently generating about -0.01 per unit of risk. If you would invest 11.00 in Peel Mining on October 14, 2024 and sell it today you would earn a total of 0.00 from holding Peel Mining or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Peel Mining vs. Australian Agricultural
Performance |
Timeline |
Peel Mining |
Australian Agricultural |
Peel Mining and Australian Agricultural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Peel Mining and Australian Agricultural
The main advantage of trading using opposite Peel Mining and Australian Agricultural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Peel Mining position performs unexpectedly, Australian Agricultural 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 Australian Agricultural will offset losses from the drop in Australian Agricultural's long position.Peel Mining vs. Energy Technologies Limited | Peel Mining vs. Advanced Braking Technology | Peel Mining vs. Neurotech International | Peel Mining vs. Falcon Metals |
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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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