Correlation Between Invesco Gold and Frost Credit
Can any of the company-specific risk be diversified away by investing in both Invesco Gold and Frost Credit 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 Invesco Gold and Frost Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Invesco Gold Special and Frost Credit Fund, you can compare the effects of market volatilities on Invesco Gold and Frost Credit 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 Invesco Gold with a short position of Frost Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Invesco Gold and Frost Credit.
Diversification Opportunities for Invesco Gold and Frost Credit
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Invesco and Frost is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Invesco Gold Special and Frost Credit Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Frost Credit and Invesco Gold 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 Invesco Gold Special are associated (or correlated) with Frost Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Frost Credit has no effect on the direction of Invesco Gold i.e., Invesco Gold and Frost Credit go up and down completely randomly.
Pair Corralation between Invesco Gold and Frost Credit
Assuming the 90 days horizon Invesco Gold Special is expected to generate 11.29 times more return on investment than Frost Credit. However, Invesco Gold is 11.29 times more volatile than Frost Credit Fund. It trades about 0.24 of its potential returns per unit of risk. Frost Credit Fund is currently generating about 0.23 per unit of risk. If you would invest 2,610 in Invesco Gold Special on December 21, 2024 and sell it today you would earn a total of 649.00 from holding Invesco Gold Special or generate 24.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Invesco Gold Special vs. Frost Credit Fund
Performance |
Timeline |
Invesco Gold Special |
Frost Credit |
Invesco Gold and Frost Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Invesco Gold and Frost Credit
The main advantage of trading using opposite Invesco Gold and Frost Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Invesco Gold position performs unexpectedly, Frost Credit 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 Frost Credit will offset losses from the drop in Frost Credit's long position.Invesco Gold vs. Morningstar Unconstrained Allocation | Invesco Gold vs. Ab Global Risk | Invesco Gold vs. Pnc Balanced Allocation | Invesco Gold vs. T Rowe Price |
Frost Credit vs. Mondrian Emerging Markets | Frost Credit vs. Dodge Cox Emerging | Frost Credit vs. Ep Emerging Markets | Frost Credit vs. Embark Commodity Strategy |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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