Correlation Between Mason Graphite and Leading Edge
Can any of the company-specific risk be diversified away by investing in both Mason Graphite and Leading Edge 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 Mason Graphite and Leading Edge into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mason Graphite and Leading Edge Materials, you can compare the effects of market volatilities on Mason Graphite and Leading Edge 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 Mason Graphite with a short position of Leading Edge. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mason Graphite and Leading Edge.
Diversification Opportunities for Mason Graphite and Leading Edge
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Mason and Leading is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Mason Graphite and Leading Edge Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Leading Edge Materials and Mason Graphite 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 Mason Graphite are associated (or correlated) with Leading Edge. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Leading Edge Materials has no effect on the direction of Mason Graphite i.e., Mason Graphite and Leading Edge go up and down completely randomly.
Pair Corralation between Mason Graphite and Leading Edge
Assuming the 90 days horizon Mason Graphite is expected to under-perform the Leading Edge. In addition to that, Mason Graphite is 1.13 times more volatile than Leading Edge Materials. It trades about -0.26 of its total potential returns per unit of risk. Leading Edge Materials is currently generating about -0.07 per unit of volatility. If you would invest 7.10 in Leading Edge Materials on September 6, 2024 and sell it today you would lose (0.78) from holding Leading Edge Materials or give up 10.99% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mason Graphite vs. Leading Edge Materials
Performance |
Timeline |
Mason Graphite |
Leading Edge Materials |
Mason Graphite and Leading Edge Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mason Graphite and Leading Edge
The main advantage of trading using opposite Mason Graphite and Leading Edge positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mason Graphite position performs unexpectedly, Leading Edge 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 Leading Edge will offset losses from the drop in Leading Edge's long position.Mason Graphite vs. Northern Graphite | Mason Graphite vs. Graphite One | Mason Graphite vs. Lomiko Metals | Mason Graphite vs. IGO Limited |
Leading Edge vs. Grid Metals Corp | Leading Edge vs. Fireweed Zinc | Leading Edge vs. First American Silver | Leading Edge vs. Australian Strategic Materials |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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