Correlation Between Clime Investment and Argo Investments
Can any of the company-specific risk be diversified away by investing in both Clime Investment and Argo Investments 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 Clime Investment and Argo Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Clime Investment Management and Argo Investments, you can compare the effects of market volatilities on Clime Investment and Argo Investments 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 Clime Investment with a short position of Argo Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clime Investment and Argo Investments.
Diversification Opportunities for Clime Investment and Argo Investments
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Clime and Argo is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Clime Investment Management and Argo Investments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Argo Investments and Clime Investment 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 Clime Investment Management are associated (or correlated) with Argo Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Argo Investments has no effect on the direction of Clime Investment i.e., Clime Investment and Argo Investments go up and down completely randomly.
Pair Corralation between Clime Investment and Argo Investments
Assuming the 90 days trading horizon Clime Investment Management is expected to generate 3.79 times more return on investment than Argo Investments. However, Clime Investment is 3.79 times more volatile than Argo Investments. It trades about 0.08 of its potential returns per unit of risk. Argo Investments is currently generating about 0.2 per unit of risk. If you would invest 35.00 in Clime Investment Management on April 25, 2025 and sell it today you would earn a total of 3.00 from holding Clime Investment Management or generate 8.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Clime Investment Management vs. Argo Investments
Performance |
Timeline |
Clime Investment Man |
Argo Investments |
Clime Investment and Argo Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clime Investment and Argo Investments
The main advantage of trading using opposite Clime Investment and Argo Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clime Investment position performs unexpectedly, Argo Investments 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 Argo Investments will offset losses from the drop in Argo Investments' long position.Clime Investment vs. Aneka Tambang TBK | Clime Investment vs. BHP Group | Clime Investment vs. RIO Tinto | Clime Investment vs. Macquarie Group |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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