Correlation Between Cardinal Small and Guidepath Managed
Can any of the company-specific risk be diversified away by investing in both Cardinal Small and Guidepath Managed 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 Cardinal Small and Guidepath Managed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cardinal Small Cap and Guidepath Managed Futures, you can compare the effects of market volatilities on Cardinal Small and Guidepath Managed 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 Cardinal Small with a short position of Guidepath Managed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cardinal Small and Guidepath Managed.
Diversification Opportunities for Cardinal Small and Guidepath Managed
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Cardinal and Guidepath is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Cardinal Small Cap and Guidepath Managed Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Guidepath Managed Futures and Cardinal Small 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 Cardinal Small Cap are associated (or correlated) with Guidepath Managed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Guidepath Managed Futures has no effect on the direction of Cardinal Small i.e., Cardinal Small and Guidepath Managed go up and down completely randomly.
Pair Corralation between Cardinal Small and Guidepath Managed
Assuming the 90 days horizon Cardinal Small Cap is expected to generate 0.02 times more return on investment than Guidepath Managed. However, Cardinal Small Cap is 63.68 times less risky than Guidepath Managed. It trades about 0.13 of its potential returns per unit of risk. Guidepath Managed Futures is currently generating about -0.08 per unit of risk. If you would invest 1,443 in Cardinal Small Cap on September 22, 2024 and sell it today you would earn a total of 1.00 from holding Cardinal Small Cap or generate 0.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cardinal Small Cap vs. Guidepath Managed Futures
Performance |
Timeline |
Cardinal Small Cap |
Guidepath Managed Futures |
Cardinal Small and Guidepath Managed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cardinal Small and Guidepath Managed
The main advantage of trading using opposite Cardinal Small and Guidepath Managed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cardinal Small position performs unexpectedly, Guidepath Managed 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 Guidepath Managed will offset losses from the drop in Guidepath Managed's long position.Cardinal Small vs. Pace Smallmedium Value | Cardinal Small vs. Touchstone Small Cap | Cardinal Small vs. Rbc Small Cap | Cardinal Small vs. Aqr Small Cap |
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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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