Correlation Between FireFly Metals and Clime Investment
Can any of the company-specific risk be diversified away by investing in both FireFly Metals and Clime Investment 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 FireFly Metals and Clime Investment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FireFly Metals and Clime Investment Management, you can compare the effects of market volatilities on FireFly Metals and Clime Investment 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 FireFly Metals with a short position of Clime Investment. Check out your portfolio center. Please also check ongoing floating volatility patterns of FireFly Metals and Clime Investment.
Diversification Opportunities for FireFly Metals and Clime Investment
-0.18 | Correlation Coefficient |
Good diversification
The 3 months correlation between FireFly and Clime is -0.18. Overlapping area represents the amount of risk that can be diversified away by holding FireFly Metals and Clime Investment Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clime Investment Man and FireFly Metals 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 FireFly Metals are associated (or correlated) with Clime Investment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clime Investment Man has no effect on the direction of FireFly Metals i.e., FireFly Metals and Clime Investment go up and down completely randomly.
Pair Corralation between FireFly Metals and Clime Investment
Assuming the 90 days trading horizon FireFly Metals is expected to under-perform the Clime Investment. In addition to that, FireFly Metals is 3.48 times more volatile than Clime Investment Management. It trades about -0.12 of its total potential returns per unit of risk. Clime Investment Management is currently generating about 0.23 per unit of volatility. If you would invest 34.00 in Clime Investment Management on October 10, 2024 and sell it today you would earn a total of 2.00 from holding Clime Investment Management or generate 5.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
FireFly Metals vs. Clime Investment Management
Performance |
Timeline |
FireFly Metals |
Clime Investment Man |
FireFly Metals and Clime Investment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FireFly Metals and Clime Investment
The main advantage of trading using opposite FireFly Metals and Clime Investment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FireFly Metals position performs unexpectedly, Clime Investment 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 Clime Investment will offset losses from the drop in Clime Investment's long position.FireFly Metals vs. Globe Metals Mining | FireFly Metals vs. Dexus Convenience Retail | FireFly Metals vs. MetalsGrove Mining | FireFly Metals vs. Evolution Mining |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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