Correlation Between Sui and SNET

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

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

Diversification Opportunities for Sui and SNET

-0.62

Correlation Coefficient

Sui  SNET

Excellent diversification

The 3 months correlation between Sui and SNET is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding Sui and SNET in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SNET 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 SNET. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SNET has no effect on the direction of Sui i.e., Sui and SNET go up and down completely randomly.

Pair Corralation between Sui and SNET

Assuming the 90 days trading horizon Sui is expected to generate 0.4 times more return on investment than SNET. However, Sui is 2.48 times less risky than SNET. It trades about 0.38 of its potential returns per unit of risk. SNET is currently generating about 0.09 per unit of risk. If you would invest  79.00  in Sui on September 1, 2024 and sell it today you would earn a total of  269.00  from holding Sui or generate 340.51% return on investment over 90 days.

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

Sui  vs.  SNET

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.

SNET

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in SNET are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady fundamental indicators, SNET exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Sui and SNET

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

The idea behind Sui and SNET 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.