Correlation Between Calibre Mining and X-FAB Silicon
Can any of the company-specific risk be diversified away by investing in both Calibre Mining and X-FAB Silicon 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 X-FAB Silicon 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 X FAB Silicon Foundries, you can compare the effects of market volatilities on Calibre Mining and X-FAB Silicon 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 X-FAB Silicon. Check out your portfolio center. Please also check ongoing floating volatility patterns of Calibre Mining and X-FAB Silicon.
Diversification Opportunities for Calibre Mining and X-FAB Silicon
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Calibre and X-FAB is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Calibre Mining Corp and X FAB Silicon Foundries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on X FAB Silicon 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 X-FAB Silicon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of X FAB Silicon has no effect on the direction of Calibre Mining i.e., Calibre Mining and X-FAB Silicon go up and down completely randomly.
Pair Corralation between Calibre Mining and X-FAB Silicon
Assuming the 90 days trading horizon Calibre Mining Corp is expected to under-perform the X-FAB Silicon. But the stock apears to be less risky and, when comparing its historical volatility, Calibre Mining Corp is 1.12 times less risky than X-FAB Silicon. The stock trades about -0.05 of its potential returns per unit of risk. The X FAB Silicon Foundries is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 515.00 in X FAB Silicon Foundries on October 23, 2024 and sell it today you would lose (6.00) from holding X FAB Silicon Foundries or give up 1.17% 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. X FAB Silicon Foundries
Performance |
Timeline |
Calibre Mining Corp |
X FAB Silicon |
Calibre Mining and X-FAB Silicon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Calibre Mining and X-FAB Silicon
The main advantage of trading using opposite Calibre Mining and X-FAB Silicon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Calibre Mining position performs unexpectedly, X-FAB Silicon 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 X-FAB Silicon will offset losses from the drop in X-FAB Silicon's long position.Calibre Mining vs. Jupiter Fund Management | Calibre Mining vs. DISTRICT METALS | Calibre Mining vs. GREENX METALS LTD | Calibre Mining vs. ADRIATIC METALS LS 013355 |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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