Correlation Between Clifton Mining and Stroud Resources
Can any of the company-specific risk be diversified away by investing in both Clifton Mining and Stroud Resources 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 Clifton Mining and Stroud Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Clifton Mining Co and Stroud Resources, you can compare the effects of market volatilities on Clifton Mining and Stroud Resources 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 Clifton Mining with a short position of Stroud Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clifton Mining and Stroud Resources.
Diversification Opportunities for Clifton Mining and Stroud Resources
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Clifton and Stroud is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Clifton Mining Co and Stroud Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stroud Resources and Clifton 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 Clifton Mining Co are associated (or correlated) with Stroud Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stroud Resources has no effect on the direction of Clifton Mining i.e., Clifton Mining and Stroud Resources go up and down completely randomly.
Pair Corralation between Clifton Mining and Stroud Resources
Given the investment horizon of 90 days Clifton Mining is expected to generate 2.21 times less return on investment than Stroud Resources. But when comparing it to its historical volatility, Clifton Mining Co is 1.53 times less risky than Stroud Resources. It trades about 0.04 of its potential returns per unit of risk. Stroud Resources is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 7.00 in Stroud Resources on September 3, 2024 and sell it today you would lose (2.00) from holding Stroud Resources or give up 28.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Clifton Mining Co vs. Stroud Resources
Performance |
Timeline |
Clifton Mining |
Stroud Resources |
Clifton Mining and Stroud Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clifton Mining and Stroud Resources
The main advantage of trading using opposite Clifton Mining and Stroud Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clifton Mining position performs unexpectedly, Stroud Resources 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 Stroud Resources will offset losses from the drop in Stroud Resources' long position.Clifton Mining vs. Cartier Iron Corp | Clifton Mining vs. Arctic Star Exploration | Clifton Mining vs. Capella Minerals Limited | Clifton Mining vs. Denarius Silver 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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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