Correlation Between UMA and Algorand
Can any of the company-specific risk be diversified away by investing in both UMA and Algorand 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 UMA and Algorand into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between UMA and Algorand, you can compare the effects of market volatilities on UMA and Algorand 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 UMA with a short position of Algorand. Check out your portfolio center. Please also check ongoing floating volatility patterns of UMA and Algorand.
Diversification Opportunities for UMA and Algorand
Almost no diversification
The 3 months correlation between UMA and Algorand is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding UMA and Algorand in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Algorand and UMA 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 UMA are associated (or correlated) with Algorand. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Algorand has no effect on the direction of UMA i.e., UMA and Algorand go up and down completely randomly.
Pair Corralation between UMA and Algorand
Assuming the 90 days trading horizon UMA is expected to under-perform the Algorand. In addition to that, UMA is 1.02 times more volatile than Algorand. It trades about -0.16 of its total potential returns per unit of risk. Algorand is currently generating about -0.11 per unit of volatility. If you would invest 33.00 in Algorand on December 30, 2024 and sell it today you would lose (15.00) from holding Algorand or give up 45.45% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
UMA vs. Algorand
Performance |
Timeline |
UMA |
Algorand |
UMA and Algorand Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with UMA and Algorand
The main advantage of trading using opposite UMA and Algorand positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if UMA position performs unexpectedly, Algorand 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 Algorand will offset losses from the drop in Algorand's long position.The idea behind UMA and Algorand 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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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