Correlation Between PT Bank and COMPUTER MODELLING

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

Diversification Opportunities for PT Bank and COMPUTER MODELLING

-0.62
  Correlation Coefficient

Excellent diversification

The 3 months correlation between PQ9 and COMPUTER is -0.62. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Mandiri and COMPUTER MODELLING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMPUTER MODELLING and PT Bank 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 PT Bank Mandiri are associated (or correlated) with COMPUTER MODELLING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMPUTER MODELLING has no effect on the direction of PT Bank i.e., PT Bank and COMPUTER MODELLING go up and down completely randomly.

Pair Corralation between PT Bank and COMPUTER MODELLING

Assuming the 90 days horizon PT Bank Mandiri is expected to under-perform the COMPUTER MODELLING. In addition to that, PT Bank is 23.83 times more volatile than COMPUTER MODELLING. It trades about -0.04 of its total potential returns per unit of risk. COMPUTER MODELLING is currently generating about 0.16 per unit of volatility. If you would invest  375.00  in COMPUTER MODELLING on October 6, 2024 and sell it today you would earn a total of  5.00  from holding COMPUTER MODELLING or generate 1.33% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

PT Bank Mandiri  vs.  COMPUTER MODELLING

 Performance 
       Timeline  
PT Bank Mandiri 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days PT Bank Mandiri has generated negative risk-adjusted returns adding no value to investors with long positions. Despite fragile performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in February 2025. The current disturbance may also be a sign of long-run up-swing for the company stockholders.
COMPUTER MODELLING 

Risk-Adjusted Performance

10 of 100

 
Weak
 
Strong
OK
Compared to the overall equity markets, risk-adjusted returns on investments in COMPUTER MODELLING are ranked lower than 10 (%) of all global equities and portfolios over the last 90 days. In spite of rather sound forward-looking indicators, COMPUTER MODELLING is not utilizing all of its potentials. The newest stock price tumult, may contribute to shorter-term losses for the shareholders.

PT Bank and COMPUTER MODELLING Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with PT Bank and COMPUTER MODELLING

The main advantage of trading using opposite PT Bank and COMPUTER MODELLING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bank position performs unexpectedly, COMPUTER MODELLING 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 COMPUTER MODELLING will offset losses from the drop in COMPUTER MODELLING's long position.
The idea behind PT Bank Mandiri and COMPUTER MODELLING 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 Bonds Directory module to find actively traded corporate debentures issued by US companies.

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