Correlation Between Calibre Mining and STMicroelectronics
Can any of the company-specific risk be diversified away by investing in both Calibre Mining and STMicroelectronics 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 Calibre Mining and STMicroelectronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Calibre Mining Corp and STMicroelectronics NV, you can compare the effects of market volatilities on Calibre Mining and STMicroelectronics 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 Calibre Mining with a short position of STMicroelectronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calibre Mining and STMicroelectronics.
Diversification Opportunities for Calibre Mining and STMicroelectronics
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Calibre and STMicroelectronics is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Calibre Mining Corp and STMicroelectronics NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on STMicroelectronics and Calibre 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 Calibre Mining Corp are associated (or correlated) with STMicroelectronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of STMicroelectronics has no effect on the direction of Calibre Mining i.e., Calibre Mining and STMicroelectronics go up and down completely randomly.
Pair Corralation between Calibre Mining and STMicroelectronics
Assuming the 90 days trading horizon Calibre Mining Corp is expected to under-perform the STMicroelectronics. In addition to that, Calibre Mining is 1.31 times more volatile than STMicroelectronics NV. It trades about -0.05 of its total potential returns per unit of risk. STMicroelectronics NV is currently generating about -0.02 per unit of volatility. If you would invest 2,411 in STMicroelectronics NV on October 6, 2024 and sell it today you would lose (54.00) from holding STMicroelectronics NV or give up 2.24% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Calibre Mining Corp vs. STMicroelectronics NV
Performance |
Timeline |
Calibre Mining Corp |
STMicroelectronics |
Calibre Mining and STMicroelectronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calibre Mining and STMicroelectronics
The main advantage of trading using opposite Calibre Mining and STMicroelectronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calibre Mining position performs unexpectedly, STMicroelectronics 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 STMicroelectronics will offset losses from the drop in STMicroelectronics' long position.Calibre Mining vs. Apple Inc | Calibre Mining vs. Apple Inc | Calibre Mining vs. Apple Inc | Calibre Mining vs. Apple Inc |
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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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