Correlation Between Global X and IShares Genomics
Can any of the company-specific risk be diversified away by investing in both Global X and IShares Genomics 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 X and IShares Genomics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X FinTech and iShares Genomics Immunology, you can compare the effects of market volatilities on Global X and IShares Genomics 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 X with a short position of IShares Genomics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and IShares Genomics.
Diversification Opportunities for Global X and IShares Genomics
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Global and IShares is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding Global X FinTech and iShares Genomics Immunology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares Genomics Imm and Global X 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 X FinTech are associated (or correlated) with IShares Genomics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares Genomics Imm has no effect on the direction of Global X i.e., Global X and IShares Genomics go up and down completely randomly.
Pair Corralation between Global X and IShares Genomics
Given the investment horizon of 90 days Global X FinTech is expected to generate 1.01 times more return on investment than IShares Genomics. However, Global X is 1.01 times more volatile than iShares Genomics Immunology. It trades about 0.07 of its potential returns per unit of risk. iShares Genomics Immunology is currently generating about -0.02 per unit of risk. If you would invest 2,053 in Global X FinTech on August 23, 2024 and sell it today you would earn a total of 1,273 from holding Global X FinTech or generate 62.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Global X FinTech vs. iShares Genomics Immunology
Performance |
Timeline |
Global X FinTech |
iShares Genomics Imm |
Global X and IShares Genomics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global X and IShares Genomics
The main advantage of trading using opposite Global X and IShares Genomics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X position performs unexpectedly, IShares Genomics 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 IShares Genomics will offset losses from the drop in IShares Genomics' long position.Global X vs. SPDR SP Health | Global X vs. SPDR SP Health | Global X vs. Aquagold International | Global X vs. Morningstar Unconstrained Allocation |
IShares Genomics vs. Global X Genomics | IShares Genomics vs. iShares Cybersecurity and | IShares Genomics vs. iShares Self Driving EV |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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