Correlation Between ING Groep and UBS Group
Can any of the company-specific risk be diversified away by investing in both ING Groep and UBS Group 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 ING Groep and UBS Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ING Groep NV and UBS Group AG, you can compare the effects of market volatilities on ING Groep and UBS Group 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 ING Groep with a short position of UBS Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of ING Groep and UBS Group.
Diversification Opportunities for ING Groep and UBS Group
Pay attention - limited upside
The 3 months correlation between ING and UBS is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding ING Groep NV and UBS Group AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UBS Group AG and ING Groep 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 ING Groep NV are associated (or correlated) with UBS Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UBS Group AG has no effect on the direction of ING Groep i.e., ING Groep and UBS Group go up and down completely randomly.
Pair Corralation between ING Groep and UBS Group
Assuming the 90 days trading horizon ING Groep is expected to generate 2.83 times less return on investment than UBS Group. But when comparing it to its historical volatility, ING Groep NV is 2.73 times less risky than UBS Group. It trades about 0.1 of its potential returns per unit of risk. UBS Group AG is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 43,841 in UBS Group AG on September 27, 2024 and sell it today you would earn a total of 22,159 from holding UBS Group AG or generate 50.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ING Groep NV vs. UBS Group AG
Performance |
Timeline |
ING Groep NV |
UBS Group AG |
ING Groep and UBS Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ING Groep and UBS Group
The main advantage of trading using opposite ING Groep and UBS Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ING Groep position performs unexpectedly, UBS Group 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 Group will offset losses from the drop in UBS Group's long position.The idea behind ING Groep NV and UBS Group AG pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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