Correlation Between Hennessy and Ubs Emerging
Can any of the company-specific risk be diversified away by investing in both Hennessy and Ubs Emerging 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 Hennessy and Ubs Emerging into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hennessy Bp Energy and Ubs Emerging Markets, you can compare the effects of market volatilities on Hennessy and Ubs Emerging 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 Hennessy with a short position of Ubs Emerging. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hennessy and Ubs Emerging.
Diversification Opportunities for Hennessy and Ubs Emerging
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between Hennessy and UBS is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Hennessy Bp Energy and Ubs Emerging Markets in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ubs Emerging Markets and Hennessy 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 Hennessy Bp Energy are associated (or correlated) with Ubs Emerging. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ubs Emerging Markets has no effect on the direction of Hennessy i.e., Hennessy and Ubs Emerging go up and down completely randomly.
Pair Corralation between Hennessy and Ubs Emerging
Assuming the 90 days horizon Hennessy is expected to generate 1.3 times less return on investment than Ubs Emerging. In addition to that, Hennessy is 1.07 times more volatile than Ubs Emerging Markets. It trades about 0.1 of its total potential returns per unit of risk. Ubs Emerging Markets is currently generating about 0.13 per unit of volatility. If you would invest 747.00 in Ubs Emerging Markets on December 29, 2024 and sell it today you would earn a total of 66.00 from holding Ubs Emerging Markets or generate 8.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hennessy Bp Energy vs. Ubs Emerging Markets
Performance |
Timeline |
Hennessy Bp Energy |
Ubs Emerging Markets |
Hennessy and Ubs Emerging Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hennessy and Ubs Emerging
The main advantage of trading using opposite Hennessy and Ubs Emerging positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hennessy position performs unexpectedly, Ubs Emerging 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 Ubs Emerging will offset losses from the drop in Ubs Emerging's long position.Hennessy vs. World Energy Fund | Hennessy vs. Ivy Energy Fund | Hennessy vs. Blackrock All Cap Energy | Hennessy vs. Energy Fund Class |
Ubs Emerging vs. Morningstar Defensive Bond | Ubs Emerging vs. Ab Bond Inflation | Ubs Emerging vs. Calvert Bond Portfolio | Ubs Emerging vs. Ab Bond Inflation |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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