Correlation Between Global Healthcare and AGFiQ Market
Can any of the company-specific risk be diversified away by investing in both Global Healthcare and AGFiQ Market 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 Global Healthcare and AGFiQ Market into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Healthcare Income and AGFiQ Market Neutral, you can compare the effects of market volatilities on Global Healthcare and AGFiQ Market 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 Global Healthcare with a short position of AGFiQ Market. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Healthcare and AGFiQ Market.
Diversification Opportunities for Global Healthcare and AGFiQ Market
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Global and AGFiQ is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding Global Healthcare Income and AGFiQ Market Neutral in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AGFiQ Market Neutral and Global Healthcare 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 Global Healthcare Income are associated (or correlated) with AGFiQ Market. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AGFiQ Market Neutral has no effect on the direction of Global Healthcare i.e., Global Healthcare and AGFiQ Market go up and down completely randomly.
Pair Corralation between Global Healthcare and AGFiQ Market
Assuming the 90 days trading horizon Global Healthcare Income is expected to generate 1.07 times more return on investment than AGFiQ Market. However, Global Healthcare is 1.07 times more volatile than AGFiQ Market Neutral. It trades about 0.02 of its potential returns per unit of risk. AGFiQ Market Neutral is currently generating about -0.23 per unit of risk. If you would invest 818.00 in Global Healthcare Income on September 3, 2024 and sell it today you would earn a total of 3.00 from holding Global Healthcare Income or generate 0.37% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Global Healthcare Income vs. AGFiQ Market Neutral
Performance |
| Timeline |
| Global Healthcare Income |
| AGFiQ Market Neutral |
Global Healthcare and AGFiQ Market Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Global Healthcare and AGFiQ Market
The main advantage of trading using opposite Global Healthcare and AGFiQ Market positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Healthcare position performs unexpectedly, AGFiQ Market 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 AGFiQ Market will offset losses from the drop in AGFiQ Market's long position.| Global Healthcare vs. Tech Leaders Income | Global Healthcare vs. BetaPro SPTSX 60 | Global Healthcare vs. Brompton Global Dividend | Global Healthcare vs. Global X Active |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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