Correlation Between Bank Mandiri and Digital Mediatama

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Bank Mandiri and Digital Mediatama 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 Bank Mandiri and Digital Mediatama into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Mandiri Persero and Digital Mediatama Maxima, you can compare the effects of market volatilities on Bank Mandiri and Digital Mediatama 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 Bank Mandiri with a short position of Digital Mediatama. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Mandiri and Digital Mediatama.

Diversification Opportunities for Bank Mandiri and Digital Mediatama

-0.44
  Correlation Coefficient

Very good diversification

The 3 months correlation between Bank and Digital is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Bank Mandiri Persero and Digital Mediatama Maxima in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Digital Mediatama Maxima and Bank Mandiri 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 Bank Mandiri Persero are associated (or correlated) with Digital Mediatama. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Digital Mediatama Maxima has no effect on the direction of Bank Mandiri i.e., Bank Mandiri and Digital Mediatama go up and down completely randomly.

Pair Corralation between Bank Mandiri and Digital Mediatama

Assuming the 90 days trading horizon Bank Mandiri Persero is expected to generate 0.56 times more return on investment than Digital Mediatama. However, Bank Mandiri Persero is 1.79 times less risky than Digital Mediatama. It trades about -0.11 of its potential returns per unit of risk. Digital Mediatama Maxima is currently generating about -0.32 per unit of risk. If you would invest  662,500  in Bank Mandiri Persero on February 13, 2024 and sell it today you would lose (37,500) from holding Bank Mandiri Persero or give up 5.66% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthVery Weak
Accuracy100.0%
ValuesDaily Returns

Bank Mandiri Persero  vs.  Digital Mediatama Maxima

 Performance 
       Timeline  
Bank Mandiri Persero 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Bank Mandiri Persero has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest conflicting performance, the Stock's basic indicators remain persistent and the latest mess on Wall Street may also be a sign of long-standing gains for the company institutional investors.
Digital Mediatama Maxima 

Risk-Adjusted Performance

0 of 100

 
Weak
 
Strong
Very Weak
Over the last 90 days Digital Mediatama Maxima 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 basic indicators remain quite persistent which may send shares a bit higher in June 2024. The latest mess may also be a sign of long-standing up-swing for the company institutional investors.

Bank Mandiri and Digital Mediatama Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Bank Mandiri and Digital Mediatama

The main advantage of trading using opposite Bank Mandiri and Digital Mediatama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Mandiri position performs unexpectedly, Digital Mediatama 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 Digital Mediatama will offset losses from the drop in Digital Mediatama's long position.
The idea behind Bank Mandiri Persero and Digital Mediatama Maxima 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.
Check out your portfolio center.
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.

Other Complementary Tools

Premium Stories
Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope
Portfolio Backtesting
Avoid under-diversification and over-optimization by backtesting your portfolios
Options Analysis
Analyze and evaluate options and option chains as a potential hedge for your portfolios
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Aroon Oscillator
Analyze current equity momentum using Aroon Oscillator and other momentum ratios
Pair Correlation
Compare performance and examine fundamental relationship between any two equity instruments
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Money Managers
Screen money managers from public funds and ETFs managed around the world
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Instant Ratings
Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance
Pattern Recognition
Use different Pattern Recognition models to time the market across multiple global exchanges
Technical Analysis
Check basic technical indicators and analysis based on most latest market data