Correlation Between Algorand and Maker
Can any of the company-specific risk be diversified away by investing in both Algorand and Maker 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 Maker into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Algorand and Maker, you can compare the effects of market volatilities on Algorand and Maker 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 Maker. Check out your portfolio center. Please also check ongoing floating volatility patterns of Algorand and Maker.
Diversification Opportunities for Algorand and Maker
Very weak diversification
The 3 months correlation between Algorand and Maker is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Algorand and Maker in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Maker 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 Maker. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Maker has no effect on the direction of Algorand i.e., Algorand and Maker go up and down completely randomly.
Pair Corralation between Algorand and Maker
Assuming the 90 days trading horizon Algorand is expected to under-perform the Maker. But the crypto coin apears to be less risky and, when comparing its historical volatility, Algorand is 1.04 times less risky than Maker. The crypto coin trades about -0.18 of its potential returns per unit of risk. The Maker is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 321,532 in Maker on January 25, 2024 and sell it today you would lose (32,254) from holding Maker or give up 10.03% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Algorand vs. Maker
Performance |
| Timeline |
| Algorand |
| Maker |
Algorand and Maker Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Algorand and Maker
The main advantage of trading using opposite Algorand and Maker positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Algorand position performs unexpectedly, Maker 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 Maker will offset losses from the drop in Maker's long position.The idea behind Algorand and Maker 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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