Correlation Between Ubs Emerging and Pace International
Can any of the company-specific risk be diversified away by investing in both Ubs Emerging and Pace International 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 Ubs Emerging and Pace International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ubs Emerging Markets and Pace International Equity, you can compare the effects of market volatilities on Ubs Emerging and Pace International 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 Ubs Emerging with a short position of Pace International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ubs Emerging and Pace International.
Diversification Opportunities for Ubs Emerging and Pace International
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Ubs and Pace is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Ubs Emerging Markets and Pace International Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pace International Equity and Ubs Emerging 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 Ubs Emerging Markets are associated (or correlated) with Pace International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pace International Equity has no effect on the direction of Ubs Emerging i.e., Ubs Emerging and Pace International go up and down completely randomly.
Pair Corralation between Ubs Emerging and Pace International
Assuming the 90 days horizon Ubs Emerging is expected to generate 1.65 times less return on investment than Pace International. In addition to that, Ubs Emerging is 1.37 times more volatile than Pace International Equity. It trades about 0.03 of its total potential returns per unit of risk. Pace International Equity is currently generating about 0.07 per unit of volatility. If you would invest 1,584 in Pace International Equity on August 29, 2024 and sell it today you would earn a total of 246.00 from holding Pace International Equity or generate 15.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ubs Emerging Markets vs. Pace International Equity
Performance |
Timeline |
Ubs Emerging Markets |
Pace International Equity |
Ubs Emerging and Pace International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ubs Emerging and Pace International
The main advantage of trading using opposite Ubs Emerging and Pace International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ubs Emerging position performs unexpectedly, Pace International 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 Pace International will offset losses from the drop in Pace International's long position.Ubs Emerging vs. Goldman Sachs Mlp | Ubs Emerging vs. Oil Gas Ultrasector | Ubs Emerging vs. Energy Services Fund | Ubs Emerging vs. Hennessy Bp Energy |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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