Correlation Between Gold Road and Australian Agricultural
Can any of the company-specific risk be diversified away by investing in both Gold Road 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 Gold Road and Australian Agricultural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gold Road Resources and Australian Agricultural, you can compare the effects of market volatilities on Gold Road 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 Gold Road with a short position of Australian Agricultural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gold Road and Australian Agricultural.
Diversification Opportunities for Gold Road and Australian Agricultural
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Gold and Australian is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Gold Road Resources and Australian Agricultural in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Australian Agricultural and Gold Road 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 Gold Road Resources 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 Gold Road i.e., Gold Road and Australian Agricultural go up and down completely randomly.
Pair Corralation between Gold Road and Australian Agricultural
Assuming the 90 days trading horizon Gold Road Resources is expected to generate 2.36 times more return on investment than Australian Agricultural. However, Gold Road is 2.36 times more volatile than Australian Agricultural. It trades about 0.15 of its potential returns per unit of risk. Australian Agricultural is currently generating about -0.05 per unit of risk. If you would invest 196.00 in Gold Road Resources on October 22, 2024 and sell it today you would earn a total of 43.00 from holding Gold Road Resources or generate 21.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gold Road Resources vs. Australian Agricultural
Performance |
Timeline |
Gold Road Resources |
Australian Agricultural |
Gold Road and Australian Agricultural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gold Road and Australian Agricultural
The main advantage of trading using opposite Gold Road and Australian Agricultural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gold Road 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.Gold Road vs. Pure Foods Tasmania | Gold Road vs. My Foodie Box | Gold Road vs. Dexus Convenience Retail | Gold Road vs. Platinum Asset Management |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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