Correlation Between Labrador Iron and Canaf Investments
Can any of the company-specific risk be diversified away by investing in both Labrador Iron and Canaf Investments 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 Labrador Iron and Canaf Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Labrador Iron Ore and Canaf Investments, you can compare the effects of market volatilities on Labrador Iron and Canaf Investments 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 Labrador Iron with a short position of Canaf Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Labrador Iron and Canaf Investments.
Diversification Opportunities for Labrador Iron and Canaf Investments
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Labrador and Canaf is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Labrador Iron Ore and Canaf Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canaf Investments and Labrador Iron 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 Labrador Iron Ore are associated (or correlated) with Canaf Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canaf Investments has no effect on the direction of Labrador Iron i.e., Labrador Iron and Canaf Investments go up and down completely randomly.
Pair Corralation between Labrador Iron and Canaf Investments
Assuming the 90 days trading horizon Labrador Iron Ore is expected to under-perform the Canaf Investments. But the stock apears to be less risky and, when comparing its historical volatility, Labrador Iron Ore is 3.73 times less risky than Canaf Investments. The stock trades about -0.02 of its potential returns per unit of risk. The Canaf Investments is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 29.00 in Canaf Investments on December 5, 2024 and sell it today you would lose (1.00) from holding Canaf Investments or give up 3.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Labrador Iron Ore vs. Canaf Investments
Performance |
Timeline |
Labrador Iron Ore |
Canaf Investments |
Labrador Iron and Canaf Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Labrador Iron and Canaf Investments
The main advantage of trading using opposite Labrador Iron and Canaf Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Labrador Iron position performs unexpectedly, Canaf Investments 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 Canaf Investments will offset losses from the drop in Canaf Investments' long position.Labrador Iron vs. Keyera Corp | Labrador Iron vs. Russel Metals | Labrador Iron vs. Freehold Royalties | Labrador Iron vs. Capital Power |
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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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