Correlation Between QC Copper and Imperial Metals
Can any of the company-specific risk be diversified away by investing in both QC Copper and Imperial Metals 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 QC Copper and Imperial Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between QC Copper and and Imperial Metals, you can compare the effects of market volatilities on QC Copper and Imperial Metals 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 QC Copper with a short position of Imperial Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of QC Copper and Imperial Metals.
Diversification Opportunities for QC Copper and Imperial Metals
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between QCCU and Imperial is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding QC Copper and and Imperial Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Imperial Metals and QC Copper 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 QC Copper and are associated (or correlated) with Imperial Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Imperial Metals has no effect on the direction of QC Copper i.e., QC Copper and Imperial Metals go up and down completely randomly.
Pair Corralation between QC Copper and Imperial Metals
Assuming the 90 days trading horizon QC Copper and is expected to generate 1.54 times more return on investment than Imperial Metals. However, QC Copper is 1.54 times more volatile than Imperial Metals. It trades about -0.01 of its potential returns per unit of risk. Imperial Metals is currently generating about -0.12 per unit of risk. If you would invest 13.00 in QC Copper and on September 30, 2024 and sell it today you would lose (1.00) from holding QC Copper and or give up 7.69% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
QC Copper and vs. Imperial Metals
Performance |
Timeline |
QC Copper |
Imperial Metals |
QC Copper and Imperial Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with QC Copper and Imperial Metals
The main advantage of trading using opposite QC Copper and Imperial Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if QC Copper position performs unexpectedly, Imperial Metals 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 Imperial Metals will offset losses from the drop in Imperial Metals' long position.The idea behind QC Copper and and Imperial Metals pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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