Correlation Between Sui and AE

Can any of the company-specific risk be diversified away by investing in both Sui and AE 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 Sui and AE into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Sui and AE, you can compare the effects of market volatilities on Sui and AE 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 Sui with a short position of AE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sui and AE.

Diversification Opportunities for Sui and AE

0.9

Correlation Coefficient

Sui  AE

Almost no diversification

The 3 months correlation between Sui and AE is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Sui and AE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AE and Sui 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 Sui are associated (or correlated) with AE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AE has no effect on the direction of Sui i.e., Sui and AE go up and down completely randomly.

Pair Corralation between Sui and AE

Assuming the 90 days trading horizon Sui is expected to generate 1.18 times more return on investment than AE. However, Sui is 1.18 times more volatile than AE. It trades about -0.07 of its potential returns per unit of risk. AE is currently generating about -0.14 per unit of risk. If you would invest  421.00  in Sui on December 27, 2024 and sell it today you would lose (141.00) from holding Sui or give up 33.49% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	100.0%
Values	Daily Returns

Sui  vs.  AE

Sui

Risk-Adjusted Performance

Very Weak

Over the last 90 days Sui has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's forward indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Sui shareholders.

AE

Risk-Adjusted Performance

Very Weak

Over the last 90 days AE has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's fundamental indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for AE shareholders.

Pair Trading with Sui and AE

The main advantage of trading using opposite Sui and AE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sui position performs unexpectedly, AE 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 AE will offset losses from the drop in AE's long position.

The idea behind Sui and AE 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.

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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.