Correlation Between Singapore Exchange and United Overseas
Can any of the company-specific risk be diversified away by investing in both Singapore Exchange and United Overseas 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 United Overseas 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 United Overseas Bank, you can compare the effects of market volatilities on Singapore Exchange and United Overseas 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 United Overseas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Singapore Exchange and United Overseas.
Diversification Opportunities for Singapore Exchange and United Overseas
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Singapore and United is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Singapore Exchange Ltd and United Overseas Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Overseas Bank 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 United Overseas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Overseas Bank has no effect on the direction of Singapore Exchange i.e., Singapore Exchange and United Overseas go up and down completely randomly.
Pair Corralation between Singapore Exchange and United Overseas
Assuming the 90 days horizon Singapore Exchange Ltd is expected to generate 2.03 times more return on investment than United Overseas. However, Singapore Exchange is 2.03 times more volatile than United Overseas Bank. It trades about 0.08 of its potential returns per unit of risk. United Overseas Bank is currently generating about 0.11 per unit of risk. If you would invest 1,811 in Singapore Exchange Ltd on December 21, 2024 and sell it today you would earn a total of 160.00 from holding Singapore Exchange Ltd or generate 8.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Singapore Exchange Ltd vs. United Overseas Bank
Performance |
Timeline |
Singapore Exchange |
United Overseas Bank |
Singapore Exchange and United Overseas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Singapore Exchange and United Overseas
The main advantage of trading using opposite Singapore Exchange and United Overseas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Singapore Exchange position performs unexpectedly, United Overseas 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 United Overseas will offset losses from the drop in United Overseas' 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 |
United Overseas vs. KBC Groep NV | United Overseas vs. DBS Group Holdings | United Overseas vs. HomeStreet | United Overseas vs. Bank of Hawaii |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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