Correlation Between Northern Star and AngloGold Ashanti
Can any of the company-specific risk be diversified away by investing in both Northern Star and AngloGold Ashanti 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 Northern Star and AngloGold Ashanti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Northern Star Resources and AngloGold Ashanti plc, you can compare the effects of market volatilities on Northern Star and AngloGold Ashanti 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 Northern Star with a short position of AngloGold Ashanti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Northern Star and AngloGold Ashanti.
Diversification Opportunities for Northern Star and AngloGold Ashanti
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Northern and AngloGold is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Northern Star Resources and AngloGold Ashanti plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AngloGold Ashanti plc and Northern Star 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 Northern Star Resources are associated (or correlated) with AngloGold Ashanti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AngloGold Ashanti plc has no effect on the direction of Northern Star i.e., Northern Star and AngloGold Ashanti go up and down completely randomly.
Pair Corralation between Northern Star and AngloGold Ashanti
Assuming the 90 days horizon Northern Star Resources is expected to generate 1.36 times more return on investment than AngloGold Ashanti. However, Northern Star is 1.36 times more volatile than AngloGold Ashanti plc. It trades about 0.02 of its potential returns per unit of risk. AngloGold Ashanti plc is currently generating about -0.02 per unit of risk. If you would invest 1,065 in Northern Star Resources on September 13, 2024 and sell it today you would lose (5.00) from holding Northern Star Resources or give up 0.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Northern Star Resources vs. AngloGold Ashanti plc
Performance |
Timeline |
Northern Star Resources |
AngloGold Ashanti plc |
Northern Star and AngloGold Ashanti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Northern Star and AngloGold Ashanti
The main advantage of trading using opposite Northern Star and AngloGold Ashanti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Northern Star position performs unexpectedly, AngloGold Ashanti 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 AngloGold Ashanti will offset losses from the drop in AngloGold Ashanti's long position.Northern Star vs. Regis Resources | Northern Star vs. West African Resources | Northern Star vs. Dundee Precious Metals | Northern Star vs. Maple Gold Mines |
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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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