Correlation Between Australian Dairy and Santana Minerals
Can any of the company-specific risk be diversified away by investing in both Australian Dairy and Santana Minerals 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 Australian Dairy and Santana Minerals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Australian Dairy Farms and Santana Minerals, you can compare the effects of market volatilities on Australian Dairy and Santana Minerals 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 Australian Dairy with a short position of Santana Minerals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Australian Dairy and Santana Minerals.
Diversification Opportunities for Australian Dairy and Santana Minerals
-0.88 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Australian and Santana is -0.88. Overlapping area represents the amount of risk that can be diversified away by holding Australian Dairy Farms and Santana Minerals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Santana Minerals and Australian Dairy 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 Australian Dairy Farms are associated (or correlated) with Santana Minerals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Santana Minerals has no effect on the direction of Australian Dairy i.e., Australian Dairy and Santana Minerals go up and down completely randomly.
Pair Corralation between Australian Dairy and Santana Minerals
Assuming the 90 days trading horizon Australian Dairy Farms is expected to generate 1.51 times more return on investment than Santana Minerals. However, Australian Dairy is 1.51 times more volatile than Santana Minerals. It trades about 0.26 of its potential returns per unit of risk. Santana Minerals is currently generating about -0.11 per unit of risk. If you would invest 1.80 in Australian Dairy Farms on September 23, 2024 and sell it today you would earn a total of 3.50 from holding Australian Dairy Farms or generate 194.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Australian Dairy Farms vs. Santana Minerals
Performance |
Timeline |
Australian Dairy Farms |
Santana Minerals |
Australian Dairy and Santana Minerals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Australian Dairy and Santana Minerals
The main advantage of trading using opposite Australian Dairy and Santana Minerals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Australian Dairy position performs unexpectedly, Santana Minerals 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 Santana Minerals will offset losses from the drop in Santana Minerals' long position.Australian Dairy vs. Centaurus Metals | Australian Dairy vs. Aspire Mining | Australian Dairy vs. Dalaroo Metals | Australian Dairy vs. Andean Silver Limited |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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