Correlation Between Snowline Gold and Harmony Gold
Can any of the company-specific risk be diversified away by investing in both Snowline Gold and Harmony Gold 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 Snowline Gold and Harmony Gold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snowline Gold Corp and Harmony Gold Mining, you can compare the effects of market volatilities on Snowline Gold and Harmony Gold 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 Snowline Gold with a short position of Harmony Gold. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snowline Gold and Harmony Gold.
Diversification Opportunities for Snowline Gold and Harmony Gold
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Snowline and Harmony is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Snowline Gold Corp and Harmony Gold Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Harmony Gold Mining and Snowline Gold 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 Snowline Gold Corp are associated (or correlated) with Harmony Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Harmony Gold Mining has no effect on the direction of Snowline Gold i.e., Snowline Gold and Harmony Gold go up and down completely randomly.
Pair Corralation between Snowline Gold and Harmony Gold
Assuming the 90 days horizon Snowline Gold Corp is expected to generate 0.77 times more return on investment than Harmony Gold. However, Snowline Gold Corp is 1.3 times less risky than Harmony Gold. It trades about -0.1 of its potential returns per unit of risk. Harmony Gold Mining is currently generating about -0.21 per unit of risk. If you would invest 407.00 in Snowline Gold Corp on September 4, 2024 and sell it today you would lose (24.00) from holding Snowline Gold Corp or give up 5.9% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 95.24% |
| Values | Daily Returns |
Snowline Gold Corp vs. Harmony Gold Mining
Performance |
| Timeline |
| Snowline Gold Corp |
| Harmony Gold Mining |
Snowline Gold and Harmony Gold Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snowline Gold and Harmony Gold
The main advantage of trading using opposite Snowline Gold and Harmony Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowline Gold position performs unexpectedly, Harmony Gold 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 Harmony Gold will offset losses from the drop in Harmony Gold's long position.| Snowline Gold vs. Harmony Gold Mining | Snowline Gold vs. SPACE | Snowline Gold vs. T Rowe Price | Snowline Gold vs. Ampleforth |
| Harmony Gold vs. AngloGold Ashanti plc | Harmony Gold vs. Eldorado Gold Corp | Harmony Gold vs. Kinross Gold | Harmony Gold vs. Pan American Silver |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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