Correlation Between Leading Edge and Fairfax Fin
Can any of the company-specific risk be diversified away by investing in both Leading Edge and Fairfax Fin 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 Leading Edge and Fairfax Fin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Leading Edge Materials and Fairfax Fin Hld, you can compare the effects of market volatilities on Leading Edge and Fairfax Fin 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 Leading Edge with a short position of Fairfax Fin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Leading Edge and Fairfax Fin.
Diversification Opportunities for Leading Edge and Fairfax Fin
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Leading and Fairfax is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Leading Edge Materials and Fairfax Fin Hld in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fairfax Fin Hld and Leading Edge 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 Leading Edge Materials are associated (or correlated) with Fairfax Fin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fairfax Fin Hld has no effect on the direction of Leading Edge i.e., Leading Edge and Fairfax Fin go up and down completely randomly.
Pair Corralation between Leading Edge and Fairfax Fin
Assuming the 90 days horizon Leading Edge Materials is expected to under-perform the Fairfax Fin. In addition to that, Leading Edge is 1.74 times more volatile than Fairfax Fin Hld. It trades about -0.01 of its total potential returns per unit of risk. Fairfax Fin Hld is currently generating about 0.25 per unit of volatility. If you would invest 1,767 in Fairfax Fin Hld on October 7, 2024 and sell it today you would earn a total of 448.00 from holding Fairfax Fin Hld or generate 25.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Leading Edge Materials vs. Fairfax Fin Hld
Performance |
Timeline |
Leading Edge Materials |
Fairfax Fin Hld |
Leading Edge and Fairfax Fin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Leading Edge and Fairfax Fin
The main advantage of trading using opposite Leading Edge and Fairfax Fin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Leading Edge position performs unexpectedly, Fairfax Fin 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 Fin will offset losses from the drop in Fairfax Fin's long position.Leading Edge vs. Hannan Metals | Leading Edge vs. Mkango Resources | Leading Edge vs. Elcora Advanced Materials | Leading Edge vs. Midnight Sun Mining |
Fairfax Fin vs. Leveljump Healthcare Corp | Fairfax Fin vs. Reliq Health Technologies | Fairfax Fin vs. Rubicon Organics | Fairfax Fin vs. Maple Leaf Foods |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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