Correlation Between Orogen Royalties and Newmont Goldcorp
Can any of the company-specific risk be diversified away by investing in both Orogen Royalties and Newmont Goldcorp 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 Orogen Royalties and Newmont Goldcorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Orogen Royalties and Newmont Goldcorp Corp, you can compare the effects of market volatilities on Orogen Royalties and Newmont Goldcorp 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 Orogen Royalties with a short position of Newmont Goldcorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Orogen Royalties and Newmont Goldcorp.
Diversification Opportunities for Orogen Royalties and Newmont Goldcorp
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Orogen and Newmont is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Orogen Royalties and Newmont Goldcorp Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Newmont Goldcorp Corp and Orogen Royalties 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 Orogen Royalties are associated (or correlated) with Newmont Goldcorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Newmont Goldcorp Corp has no effect on the direction of Orogen Royalties i.e., Orogen Royalties and Newmont Goldcorp go up and down completely randomly.
Pair Corralation between Orogen Royalties and Newmont Goldcorp
Assuming the 90 days horizon Orogen Royalties is expected to generate 1.37 times more return on investment than Newmont Goldcorp. However, Orogen Royalties is 1.37 times more volatile than Newmont Goldcorp Corp. It trades about 0.03 of its potential returns per unit of risk. Newmont Goldcorp Corp is currently generating about -0.07 per unit of risk. If you would invest 90.00 in Orogen Royalties on October 10, 2024 and sell it today you would earn a total of 5.00 from holding Orogen Royalties or generate 5.56% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Orogen Royalties vs. Newmont Goldcorp Corp
Performance |
Timeline |
Orogen Royalties |
Newmont Goldcorp Corp |
Orogen Royalties and Newmont Goldcorp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Orogen Royalties and Newmont Goldcorp
The main advantage of trading using opposite Orogen Royalties and Newmont Goldcorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Orogen Royalties position performs unexpectedly, Newmont Goldcorp 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 Newmont Goldcorp will offset losses from the drop in Newmont Goldcorp's long position.Orogen Royalties vs. Newmont Goldcorp Corp | Orogen Royalties vs. Zijin Mining Group | Orogen Royalties vs. Agnico Eagle Mines | Orogen Royalties vs. Barrick Gold Corp |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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