Correlation Between Barings Global and Inverse Nasdaq-100
Can any of the company-specific risk be diversified away by investing in both Barings Global and Inverse Nasdaq-100 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 Barings Global and Inverse Nasdaq-100 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barings Global Floating and Inverse Nasdaq 100 Strategy, you can compare the effects of market volatilities on Barings Global and Inverse Nasdaq-100 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 Barings Global with a short position of Inverse Nasdaq-100. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barings Global and Inverse Nasdaq-100.
Diversification Opportunities for Barings Global and Inverse Nasdaq-100
-0.01 | Correlation Coefficient |
Good diversification
The 3 months correlation between Barings and Inverse is -0.01. Overlapping area represents the amount of risk that can be diversified away by holding Barings Global Floating and Inverse Nasdaq 100 Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Nasdaq 100 and Barings Global 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 Barings Global Floating are associated (or correlated) with Inverse Nasdaq-100. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Nasdaq 100 has no effect on the direction of Barings Global i.e., Barings Global and Inverse Nasdaq-100 go up and down completely randomly.
Pair Corralation between Barings Global and Inverse Nasdaq-100
Assuming the 90 days horizon Barings Global is expected to generate 17.64 times less return on investment than Inverse Nasdaq-100. But when comparing it to its historical volatility, Barings Global Floating is 8.67 times less risky than Inverse Nasdaq-100. It trades about 0.06 of its potential returns per unit of risk. Inverse Nasdaq 100 Strategy is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 13,320 in Inverse Nasdaq 100 Strategy on December 30, 2024 and sell it today you would earn a total of 1,370 from holding Inverse Nasdaq 100 Strategy or generate 10.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Barings Global Floating vs. Inverse Nasdaq 100 Strategy
Performance |
Timeline |
Barings Global Floating |
Inverse Nasdaq 100 |
Barings Global and Inverse Nasdaq-100 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Barings Global and Inverse Nasdaq-100
The main advantage of trading using opposite Barings Global and Inverse Nasdaq-100 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barings Global position performs unexpectedly, Inverse Nasdaq-100 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 Inverse Nasdaq-100 will offset losses from the drop in Inverse Nasdaq-100's long position.Barings Global vs. Barings Active Short | Barings Global vs. Barings Emerging Markets | Barings Global vs. Barings Emerging Markets | Barings Global vs. Barings Active Short |
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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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