Correlation Between High Liner and Montero Mining
Can any of the company-specific risk be diversified away by investing in both High Liner and Montero Mining 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 High Liner and Montero Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between High Liner Foods and Montero Mining and, you can compare the effects of market volatilities on High Liner and Montero Mining 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 High Liner with a short position of Montero Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of High Liner and Montero Mining.
Diversification Opportunities for High Liner and Montero Mining
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between High and Montero is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding High Liner Foods and Montero Mining and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Montero Mining and High Liner 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 High Liner Foods are associated (or correlated) with Montero Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Montero Mining has no effect on the direction of High Liner i.e., High Liner and Montero Mining go up and down completely randomly.
Pair Corralation between High Liner and Montero Mining
Assuming the 90 days trading horizon High Liner Foods is expected to generate 0.41 times more return on investment than Montero Mining. However, High Liner Foods is 2.42 times less risky than Montero Mining. It trades about 0.48 of its potential returns per unit of risk. Montero Mining and is currently generating about 0.06 per unit of risk. If you would invest 1,377 in High Liner Foods on September 13, 2024 and sell it today you would earn a total of 234.00 from holding High Liner Foods or generate 16.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
High Liner Foods vs. Montero Mining and
Performance |
| Timeline |
| High Liner Foods |
| Montero Mining |
High Liner and Montero Mining Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with High Liner and Montero Mining
The main advantage of trading using opposite High Liner and Montero Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if High Liner position performs unexpectedly, Montero Mining 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 Montero Mining will offset losses from the drop in Montero Mining's long position.| High Liner vs. Leons Furniture Limited | High Liner vs. Autocanada | High Liner vs. Maple Leaf Foods | High Liner vs. Premium Brands Holdings |
| Montero Mining vs. Lion One Metals | Montero Mining vs. Questor Technology | Montero Mining vs. Metalero Mining Corp | Montero Mining vs. Ocumetics Technology Corp |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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