Correlation Between Merck and Invesco Dividend
Can any of the company-specific risk be diversified away by investing in both Merck and Invesco Dividend 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 Merck and Invesco Dividend into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Merck Company and Invesco Dividend Achievers, you can compare the effects of market volatilities on Merck and Invesco Dividend 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 Merck with a short position of Invesco Dividend. Check out your portfolio center. Please also check ongoing floating volatility patterns of Merck and Invesco Dividend.
Diversification Opportunities for Merck and Invesco Dividend
-0.67 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Merck and Invesco is -0.67. Overlapping area represents the amount of risk that can be diversified away by holding Merck Company and Invesco Dividend Achievers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Invesco Dividend Ach and Merck 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 Merck Company are associated (or correlated) with Invesco Dividend. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Invesco Dividend Ach has no effect on the direction of Merck i.e., Merck and Invesco Dividend go up and down completely randomly.
Pair Corralation between Merck and Invesco Dividend
Considering the 90-day investment horizon Merck Company is expected to under-perform the Invesco Dividend. In addition to that, Merck is 1.69 times more volatile than Invesco Dividend Achievers. It trades about -0.18 of its total potential returns per unit of risk. Invesco Dividend Achievers is currently generating about 0.17 per unit of volatility. If you would invest 4,645 in Invesco Dividend Achievers on August 27, 2024 and sell it today you would earn a total of 123.00 from holding Invesco Dividend Achievers or generate 2.65% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Merck Company vs. Invesco Dividend Achievers
Performance |
| Timeline |
| Merck Company |
| Invesco Dividend Ach |
Merck and Invesco Dividend Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Merck and Invesco Dividend
The main advantage of trading using opposite Merck and Invesco Dividend positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Merck position performs unexpectedly, Invesco Dividend 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 Invesco Dividend will offset losses from the drop in Invesco Dividend's long position.| Merck vs. Capricor Therapeutics | Merck vs. Soleno Therapeutics | Merck vs. Bio Path Holdings | Merck vs. Moleculin Biotech |
| Invesco Dividend vs. Invesco International Dividend | Invesco Dividend vs. Invesco High Yield | Invesco Dividend vs. Invesco Dynamic Large | Invesco Dividend vs. Invesco DWA Utilities |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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