Correlation Between Magna Mining and Fairfax Financial
Can any of the company-specific risk be diversified away by investing in both Magna Mining and Fairfax Financial 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 Magna Mining and Fairfax Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magna Mining and Fairfax Financial Holdings, you can compare the effects of market volatilities on Magna Mining and Fairfax Financial 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 Magna Mining with a short position of Fairfax Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magna Mining and Fairfax Financial.
Diversification Opportunities for Magna Mining and Fairfax Financial
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Magna and Fairfax is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Magna Mining and Fairfax Financial Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fairfax Financial and Magna 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 Magna Mining are associated (or correlated) with Fairfax Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fairfax Financial has no effect on the direction of Magna Mining i.e., Magna Mining and Fairfax Financial go up and down completely randomly.
Pair Corralation between Magna Mining and Fairfax Financial
Assuming the 90 days trading horizon Magna Mining is expected to generate 9.06 times more return on investment than Fairfax Financial. However, Magna Mining is 9.06 times more volatile than Fairfax Financial Holdings. It trades about 0.2 of its potential returns per unit of risk. Fairfax Financial Holdings is currently generating about 0.36 per unit of risk. If you would invest 122.00 in Magna Mining on August 29, 2024 and sell it today you would earn a total of 22.00 from holding Magna Mining or generate 18.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Magna Mining vs. Fairfax Financial Holdings
Performance |
Timeline |
Magna Mining |
Fairfax Financial |
Magna Mining and Fairfax Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magna Mining and Fairfax Financial
The main advantage of trading using opposite Magna Mining and Fairfax Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magna Mining position performs unexpectedly, Fairfax Financial 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 Fairfax Financial will offset losses from the drop in Fairfax Financial's long position.Magna Mining vs. First Majestic Silver | Magna Mining vs. Ivanhoe Energy | Magna Mining vs. Orezone Gold Corp | Magna Mining vs. Faraday Copper Corp |
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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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