Correlation Between Altamira Gold and Fremont Gold
Can any of the company-specific risk be diversified away by investing in both Altamira Gold and Fremont 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 Altamira Gold and Fremont Gold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Altamira Gold Corp and Fremont Gold, you can compare the effects of market volatilities on Altamira Gold and Fremont 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 Altamira Gold with a short position of Fremont Gold. Check out your portfolio center. Please also check ongoing floating volatility patterns of Altamira Gold and Fremont Gold.
Diversification Opportunities for Altamira Gold and Fremont Gold
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Altamira and Fremont is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding Altamira Gold Corp and Fremont Gold in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fremont Gold and Altamira 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 Altamira Gold Corp are associated (or correlated) with Fremont Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fremont Gold has no effect on the direction of Altamira Gold i.e., Altamira Gold and Fremont Gold go up and down completely randomly.
Pair Corralation between Altamira Gold and Fremont Gold
Assuming the 90 days horizon Altamira Gold Corp is expected to under-perform the Fremont Gold. But the pink sheet apears to be less risky and, when comparing its historical volatility, Altamira Gold Corp is 3.31 times less risky than Fremont Gold. The pink sheet trades about -0.25 of its potential returns per unit of risk. The Fremont Gold is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 13.00 in Fremont Gold on August 30, 2024 and sell it today you would lose (5.05) from holding Fremont Gold or give up 38.85% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Altamira Gold Corp vs. Fremont Gold
Performance |
| Timeline |
| Altamira Gold Corp |
| Fremont Gold |
Altamira Gold and Fremont Gold Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Altamira Gold and Fremont Gold
The main advantage of trading using opposite Altamira Gold and Fremont Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Altamira Gold position performs unexpectedly, Fremont 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 Fremont Gold will offset losses from the drop in Fremont Gold's long position.| Altamira Gold vs. Vertiv Holdings Co | Altamira Gold vs. Nasdaq Inc | Altamira Gold vs. McDonalds | Altamira Gold vs. Walmart |
| Fremont Gold vs. Vertiv Holdings Co | Fremont Gold vs. Nasdaq Inc | Fremont Gold vs. McDonalds | Fremont Gold vs. Walmart |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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