Correlation Between Algorand and UOB Kay
Can any of the company-specific risk be diversified away by investing in both Algorand 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 Algorand and UOB Kay into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and UOB Kay Hian, you can compare the effects of market volatilities on Algorand 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 Algorand with a short position of UOB Kay. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and UOB Kay.
Diversification Opportunities for Algorand and UOB Kay
Poor diversification
The 3 months correlation between Algorand and UOB is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Algorand 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 Algorand 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 Algorand 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 Algorand i.e., Algorand and UOB Kay go up and down completely randomly.
Pair Corralation between Algorand and UOB Kay
Assuming the 90 days trading horizon Algorand is expected to generate 6.69 times less return on investment than UOB Kay. But when comparing it to its historical volatility, Algorand is 11.74 times less risky than UOB Kay. It trades about 0.14 of its potential returns per unit of risk. UOB Kay Hian is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 500.00 in UOB Kay Hian on October 26, 2024 and sell it today you would earn a total of 30.00 from holding UOB Kay Hian or generate 6.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 94.53% |
Values | Daily Returns |
Algorand vs. UOB Kay Hian
Performance |
Timeline |
Algorand |
UOB Kay Hian |
Algorand and UOB Kay Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Algorand and UOB Kay
The main advantage of trading using opposite Algorand and UOB Kay positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand 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 Algorand 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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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