Correlation Between Globex Mining and NVIDIA CDR
Can any of the company-specific risk be diversified away by investing in both Globex Mining and NVIDIA CDR 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 Globex Mining and NVIDIA CDR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Globex Mining Enterprises and NVIDIA CDR, you can compare the effects of market volatilities on Globex Mining and NVIDIA CDR 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 Globex Mining with a short position of NVIDIA CDR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Globex Mining and NVIDIA CDR.
Diversification Opportunities for Globex Mining and NVIDIA CDR
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Globex and NVIDIA is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Globex Mining Enterprises and NVIDIA CDR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NVIDIA CDR and Globex 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 Globex Mining Enterprises are associated (or correlated) with NVIDIA CDR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NVIDIA CDR has no effect on the direction of Globex Mining i.e., Globex Mining and NVIDIA CDR go up and down completely randomly.
Pair Corralation between Globex Mining and NVIDIA CDR
Assuming the 90 days trading horizon Globex Mining Enterprises is expected to generate 1.37 times more return on investment than NVIDIA CDR. However, Globex Mining is 1.37 times more volatile than NVIDIA CDR. It trades about 0.12 of its potential returns per unit of risk. NVIDIA CDR is currently generating about -0.25 per unit of risk. If you would invest 107.00 in Globex Mining Enterprises on September 21, 2024 and sell it today you would earn a total of 7.00 from holding Globex Mining Enterprises or generate 6.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Globex Mining Enterprises vs. NVIDIA CDR
Performance |
Timeline |
Globex Mining Enterprises |
NVIDIA CDR |
Globex Mining and NVIDIA CDR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Globex Mining and NVIDIA CDR
The main advantage of trading using opposite Globex Mining and NVIDIA CDR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Globex Mining position performs unexpectedly, NVIDIA CDR 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 NVIDIA CDR will offset losses from the drop in NVIDIA CDR's long position.Globex Mining vs. Chibougamau Independent Mines | Globex Mining vs. Entree Resources | Globex Mining vs. Solitario Exploration Royalty | Globex Mining vs. Forsys Metals Corp |
NVIDIA CDR vs. North American Construction | NVIDIA CDR vs. Highwood Asset Management | NVIDIA CDR vs. Endeavour Silver Corp | NVIDIA CDR vs. Globex Mining Enterprises |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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