Correlation Between Citigroup and UOB Kay
Can any of the company-specific risk be diversified away by investing in both Citigroup and UOB Kay 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 Citigroup and UOB Kay into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citigroup and UOB Kay Hian, you can compare the effects of market volatilities on Citigroup and UOB Kay 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 Citigroup with a short position of UOB Kay. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citigroup and UOB Kay.
Diversification Opportunities for Citigroup and UOB Kay
Average diversification
The 3 months correlation between Citigroup and UOB is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding Citigroup and UOB Kay Hian in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UOB Kay Hian and Citigroup 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 Citigroup are associated (or correlated) with UOB Kay. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UOB Kay Hian has no effect on the direction of Citigroup i.e., Citigroup and UOB Kay go up and down completely randomly.
Pair Corralation between Citigroup and UOB Kay
Taking into account the 90-day investment horizon Citigroup is expected to generate 0.8 times more return on investment than UOB Kay. However, Citigroup is 1.24 times less risky than UOB Kay. It trades about 0.13 of its potential returns per unit of risk. UOB Kay Hian is currently generating about 0.01 per unit of risk. If you would invest 5,985 in Citigroup on September 25, 2024 and sell it today you would earn a total of 934.00 from holding Citigroup or generate 15.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Citigroup vs. UOB Kay Hian
Performance |
Timeline |
Citigroup |
UOB Kay Hian |
Citigroup and UOB Kay Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citigroup and UOB Kay
The main advantage of trading using opposite Citigroup and UOB Kay positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citigroup position performs unexpectedly, UOB Kay 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 UOB Kay will offset losses from the drop in UOB Kay's long position.The idea behind Citigroup and UOB Kay Hian 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.UOB Kay vs. Trinity Watthana Public | UOB Kay vs. KGI Securities Public | UOB Kay vs. Asia Plus Group | UOB Kay vs. Thitikorn Public |
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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