Correlation Between Sui and LYM

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

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

Diversification Opportunities for Sui and LYM

-0.73

Correlation Coefficient

Sui  LYM

Pay attention - limited upside

The 3 months correlation between Sui and LYM is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Sui and LYM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LYM 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 LYM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LYM has no effect on the direction of Sui i.e., Sui and LYM go up and down completely randomly.

Pair Corralation between Sui and LYM

Assuming the 90 days trading horizon Sui is expected to generate 0.53 times more return on investment than LYM. However, Sui is 1.88 times less risky than LYM. It trades about 0.37 of its potential returns per unit of risk. LYM is currently generating about 0.15 per unit of risk. If you would invest  208.00  in Sui on August 30, 2024 and sell it today you would earn a total of  137.00  from holding Sui or generate 65.87% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Sui  vs.  LYM

Sui

Risk-Adjusted Performance

29 of 100

Strong

Compared to the overall equity markets, risk-adjusted returns on investments in Sui are ranked lower than 29 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady forward indicators, Sui exhibited solid returns over the last few months and may actually be approaching a breakup point.

LYM

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days LYM 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 primary indicators remain rather sound which may send shares a bit higher in December 2024. The latest tumult may also be a sign of longer-term up-swing for LYM shareholders.

Pair Trading with Sui and LYM

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

The idea behind Sui and LYM 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.