Correlation Between Jasmine Telecom and SET Total

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

Diversification Opportunities for Jasmine Telecom and SET Total

0.77
  Correlation Coefficient

Poor diversification

The 3 months correlation between Jasmine and SET is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Jasmine Telecom Systems and SET Total Return in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SET Total Return and Jasmine Telecom 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 Jasmine Telecom Systems are associated (or correlated) with SET Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SET Total Return has no effect on the direction of Jasmine Telecom i.e., Jasmine Telecom and SET Total go up and down completely randomly.
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Pair Corralation between Jasmine Telecom and SET Total

Assuming the 90 days trading horizon Jasmine Telecom Systems is expected to under-perform the SET Total. In addition to that, Jasmine Telecom is 4.19 times more volatile than SET Total Return. It trades about -0.06 of its total potential returns per unit of risk. SET Total Return is currently generating about -0.24 per unit of volatility. If you would invest  1,110,941  in SET Total Return on October 6, 2024 and sell it today you would lose (74,620) from holding SET Total Return or give up 6.72% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy97.56%
ValuesDaily Returns

Jasmine Telecom Systems  vs.  SET Total Return

 Performance 
       Timeline  

Jasmine Telecom and SET Total Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Jasmine Telecom and SET Total

The main advantage of trading using opposite Jasmine Telecom and SET Total positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jasmine Telecom position performs unexpectedly, SET Total 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 SET Total will offset losses from the drop in SET Total's long position.
The idea behind Jasmine Telecom Systems and SET Total Return 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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.

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