Correlation Between Jakarta Int and Tera Data

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

Diversification Opportunities for Jakarta Int and Tera Data

0.79
  Correlation Coefficient

Poor diversification

The 3 months correlation between Jakarta and Tera is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels and Tera Data Indonusa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tera Data Indonusa and Jakarta Int 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 Jakarta Int Hotels are associated (or correlated) with Tera Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tera Data Indonusa has no effect on the direction of Jakarta Int i.e., Jakarta Int and Tera Data go up and down completely randomly.

Pair Corralation between Jakarta Int and Tera Data

Assuming the 90 days trading horizon Jakarta Int Hotels is expected to under-perform the Tera Data. In addition to that, Jakarta Int is 3.26 times more volatile than Tera Data Indonusa. It trades about -0.13 of its total potential returns per unit of risk. Tera Data Indonusa is currently generating about -0.11 per unit of volatility. If you would invest  12,200  in Tera Data Indonusa on December 30, 2024 and sell it today you would lose (1,600) from holding Tera Data Indonusa or give up 13.11% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthSignificant
Accuracy100.0%
ValuesDaily Returns

Jakarta Int Hotels  vs.  Tera Data Indonusa

 Performance 
       Timeline  
Jakarta Int Hotels 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Jakarta Int Hotels has generated negative risk-adjusted returns adding no value to investors with long positions. Despite conflicting performance in the last few months, the Stock's forward-looking signals remain quite persistent which may send shares a bit higher in April 2025. The latest mess may also be a sign of long-standing up-swing for the company institutional investors.
Tera Data Indonusa 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Tera Data Indonusa has generated negative risk-adjusted returns adding no value to investors with long positions. Despite conflicting performance in the last few months, the Stock's forward-looking signals remain quite persistent which may send shares a bit higher in April 2025. The latest mess may also be a sign of long-standing up-swing for the company institutional investors.

Jakarta Int and Tera Data Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Jakarta Int and Tera Data

The main advantage of trading using opposite Jakarta Int and Tera Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int position performs unexpectedly, Tera Data 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 Tera Data will offset losses from the drop in Tera Data's long position.
The idea behind Jakarta Int Hotels and Tera Data Indonusa 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.

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