Correlation Between Ridgestone Mining and Pampa Metals
Can any of the company-specific risk be diversified away by investing in both Ridgestone Mining and Pampa Metals 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 Ridgestone Mining and Pampa Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ridgestone Mining and Pampa Metals, you can compare the effects of market volatilities on Ridgestone Mining and Pampa Metals 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 Ridgestone Mining with a short position of Pampa Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ridgestone Mining and Pampa Metals.
Diversification Opportunities for Ridgestone Mining and Pampa Metals
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Ridgestone and Pampa is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Ridgestone Mining and Pampa Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pampa Metals and Ridgestone 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 Ridgestone Mining are associated (or correlated) with Pampa Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pampa Metals has no effect on the direction of Ridgestone Mining i.e., Ridgestone Mining and Pampa Metals go up and down completely randomly.
Pair Corralation between Ridgestone Mining and Pampa Metals
Assuming the 90 days horizon Ridgestone Mining is expected to generate 2.1 times more return on investment than Pampa Metals. However, Ridgestone Mining is 2.1 times more volatile than Pampa Metals. It trades about 0.03 of its potential returns per unit of risk. Pampa Metals is currently generating about -0.01 per unit of risk. If you would invest 6.98 in Ridgestone Mining on September 3, 2024 and sell it today you would lose (2.86) from holding Ridgestone Mining or give up 40.97% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 99.21% |
| Values | Daily Returns |
Ridgestone Mining vs. Pampa Metals
Performance |
| Timeline |
| Ridgestone Mining |
| Pampa Metals |
Ridgestone Mining and Pampa Metals Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ridgestone Mining and Pampa Metals
The main advantage of trading using opposite Ridgestone Mining and Pampa Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ridgestone Mining position performs unexpectedly, Pampa Metals 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 Pampa Metals will offset losses from the drop in Pampa Metals' long position.| Ridgestone Mining vs. ZincX Resources Corp | Ridgestone Mining vs. Strategic Resources | Ridgestone Mining vs. Nuinsco Resources Limited | Ridgestone Mining vs. Qubec Nickel Corp |
| Pampa Metals vs. Qubec Nickel Corp | Pampa Metals vs. IGO Limited | Pampa Metals vs. Avarone Metals | Pampa Metals vs. Adriatic Metals PLC |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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