Correlation Between PT Bank and Fintech Ecosystem

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

Diversification Opportunities for PT Bank and Fintech Ecosystem

-0.31
  Correlation Coefficient

Very good diversification

The 3 months correlation between BKRKF and Fintech is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding PT Bank Rakyat and Fintech Ecosystem Development in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fintech Ecosystem 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 Rakyat are associated (or correlated) with Fintech Ecosystem. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fintech Ecosystem has no effect on the direction of PT Bank i.e., PT Bank and Fintech Ecosystem go up and down completely randomly.

Pair Corralation between PT Bank and Fintech Ecosystem

If you would invest  32.00  in PT Bank Rakyat on September 13, 2024 and sell it today you would lose (3.00) from holding PT Bank Rakyat or give up 9.38% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy1.59%
ValuesDaily Returns

PT Bank Rakyat  vs.  Fintech Ecosystem Development

 Performance 
       Timeline  
PT Bank Rakyat 

Risk-Adjusted Performance

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Weak
 
Strong
Very Weak
Over the last 90 days PT Bank Rakyat has generated negative risk-adjusted returns adding no value to investors with long positions. Despite nearly stable forward-looking signals, PT Bank is not utilizing all of its potentials. The current stock price disturbance, may contribute to mid-run losses for the stockholders.
Fintech Ecosystem 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Fintech Ecosystem Development has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable fundamental indicators, Fintech Ecosystem is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

PT Bank and Fintech Ecosystem Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with PT Bank and Fintech Ecosystem

The main advantage of trading using opposite PT Bank and Fintech Ecosystem positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bank position performs unexpectedly, Fintech Ecosystem 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 Fintech Ecosystem will offset losses from the drop in Fintech Ecosystem's long position.
The idea behind PT Bank Rakyat and Fintech Ecosystem Development 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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.

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