Correlation Between Golden Goliath and Freegold Ventures
Can any of the company-specific risk be diversified away by investing in both Golden Goliath and Freegold Ventures 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 Golden Goliath and Freegold Ventures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Golden Goliath Resources and Freegold Ventures Limited, you can compare the effects of market volatilities on Golden Goliath and Freegold Ventures 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 Golden Goliath with a short position of Freegold Ventures. Check out your portfolio center. Please also check ongoing floating volatility patterns of Golden Goliath and Freegold Ventures.
Diversification Opportunities for Golden Goliath and Freegold Ventures
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Golden and Freegold is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Golden Goliath Resources and Freegold Ventures Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Freegold Ventures and Golden Goliath 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 Golden Goliath Resources are associated (or correlated) with Freegold Ventures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Freegold Ventures has no effect on the direction of Golden Goliath i.e., Golden Goliath and Freegold Ventures go up and down completely randomly.
Pair Corralation between Golden Goliath and Freegold Ventures
Assuming the 90 days horizon Golden Goliath Resources is expected to generate 29.81 times more return on investment than Freegold Ventures. However, Golden Goliath is 29.81 times more volatile than Freegold Ventures Limited. It trades about 0.19 of its potential returns per unit of risk. Freegold Ventures Limited is currently generating about 0.05 per unit of risk. If you would invest 5.00 in Golden Goliath Resources on August 26, 2024 and sell it today you would earn a total of 1.00 from holding Golden Goliath Resources or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 90.95% |
Values | Daily Returns |
Golden Goliath Resources vs. Freegold Ventures Limited
Performance |
Timeline |
Golden Goliath Resources |
Freegold Ventures |
Golden Goliath and Freegold Ventures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Golden Goliath and Freegold Ventures
The main advantage of trading using opposite Golden Goliath and Freegold Ventures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Golden Goliath position performs unexpectedly, Freegold Ventures 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 Freegold Ventures will offset losses from the drop in Freegold Ventures' long position.Golden Goliath vs. Silver Spruce Resources | Golden Goliath vs. Portofino Resources | Golden Goliath vs. Freegold Ventures Limited | Golden Goliath vs. Bravada Gold |
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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 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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