Correlation Between Sui and TEN

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Can any of the company-specific risk be diversified away by investing in both Sui and TEN 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 TEN into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sui and TEN, you can compare the effects of market volatilities on Sui and TEN 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 TEN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sui and TEN.

Diversification Opportunities for Sui and TEN

0.5
  Correlation Coefficient
 Sui
 TEN

Very weak diversification

The 3 months correlation between Sui and TEN is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Sui and TEN in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TEN 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 TEN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TEN has no effect on the direction of Sui i.e., Sui and TEN go up and down completely randomly.

Pair Corralation between Sui and TEN

If you would invest  79.00  in Sui on September 2, 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 Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy1.52%
ValuesDaily Returns

Sui  vs.  TEN

 Performance 
       Timeline  
Sui 

Risk-Adjusted Performance

29 of 100

 
Weak
 
Strong
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.
TEN 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days TEN has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, TEN is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Sui and TEN Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Sui and TEN

The main advantage of trading using opposite Sui and TEN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sui position performs unexpectedly, TEN 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 TEN will offset losses from the drop in TEN's long position.
The idea behind Sui and TEN 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.

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