Correlation Between Singapore Exchange and UOL Group
Can any of the company-specific risk be diversified away by investing in both Singapore Exchange and UOL 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 Singapore Exchange and UOL Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Singapore Exchange Ltd and UOL Group Ltd, you can compare the effects of market volatilities on Singapore Exchange and UOL 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 Singapore Exchange with a short position of UOL Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Exchange and UOL Group.
Diversification Opportunities for Singapore Exchange and UOL Group
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Singapore and UOL is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Exchange Ltd and UOL Group Ltd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UOL Group and Singapore Exchange 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 Singapore Exchange Ltd are associated (or correlated) with UOL Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UOL Group has no effect on the direction of Singapore Exchange i.e., Singapore Exchange and UOL Group go up and down completely randomly.
Pair Corralation between Singapore Exchange and UOL Group
Assuming the 90 days horizon Singapore Exchange Ltd is expected to generate 0.82 times more return on investment than UOL Group. However, Singapore Exchange Ltd is 1.22 times less risky than UOL Group. It trades about 0.13 of its potential returns per unit of risk. UOL Group Ltd is currently generating about -0.06 per unit of risk. If you would invest 1,639 in Singapore Exchange Ltd on October 26, 2024 and sell it today you would earn a total of 183.00 from holding Singapore Exchange Ltd or generate 11.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Singapore Exchange Ltd vs. UOL Group Ltd
Performance |
Timeline |
Singapore Exchange |
UOL Group |
Singapore Exchange and UOL Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Exchange and UOL Group
The main advantage of trading using opposite Singapore Exchange and UOL Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Exchange position performs unexpectedly, UOL 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 UOL Group will offset losses from the drop in UOL Group's long position.Singapore Exchange vs. Singapore Exchange Limited | Singapore Exchange vs. TMX Group Limited | Singapore Exchange vs. London Stock Exchange | Singapore Exchange vs. Otc Markets Group |
UOL Group vs. City Developments | UOL Group vs. United Overseas Bank | UOL Group vs. Wilmar International | UOL Group vs. Singapore Exchange Ltd |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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