Correlation Between GoldMining and Dolly Varden
Can any of the company-specific risk be diversified away by investing in both GoldMining and Dolly Varden 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 GoldMining and Dolly Varden into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GoldMining and Dolly Varden Silver, you can compare the effects of market volatilities on GoldMining and Dolly Varden 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 GoldMining with a short position of Dolly Varden. Check out your portfolio center. Please also check ongoing floating volatility patterns of GoldMining and Dolly Varden.
Diversification Opportunities for GoldMining and Dolly Varden
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GoldMining and Dolly is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding GoldMining and Dolly Varden Silver in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dolly Varden Silver and GoldMining 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 GoldMining are associated (or correlated) with Dolly Varden. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dolly Varden Silver has no effect on the direction of GoldMining i.e., GoldMining and Dolly Varden go up and down completely randomly.
Pair Corralation between GoldMining and Dolly Varden
Assuming the 90 days trading horizon GoldMining is expected to generate 6.02 times less return on investment than Dolly Varden. But when comparing it to its historical volatility, GoldMining is 1.64 times less risky than Dolly Varden. It trades about 0.04 of its potential returns per unit of risk. Dolly Varden Silver is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 68.00 in Dolly Varden Silver on August 28, 2024 and sell it today you would earn a total of 41.00 from holding Dolly Varden Silver or generate 60.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 85.26% |
Values | Daily Returns |
GoldMining vs. Dolly Varden Silver
Performance |
Timeline |
GoldMining |
Dolly Varden Silver |
GoldMining and Dolly Varden Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GoldMining and Dolly Varden
The main advantage of trading using opposite GoldMining and Dolly Varden positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GoldMining position performs unexpectedly, Dolly Varden 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 Dolly Varden will offset losses from the drop in Dolly Varden's long position.GoldMining vs. Samsung Electronics Co | GoldMining vs. Samsung Electronics Co | GoldMining vs. Hyundai Motor | GoldMining vs. Toyota Motor Corp |
Dolly Varden vs. Samsung Electronics Co | Dolly Varden vs. Samsung Electronics Co | Dolly Varden vs. Hyundai Motor | Dolly Varden vs. Toyota Motor Corp |
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 Transaction History module to view history of all your transactions and understand their impact on performance.
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