Correlation Between Bhakti Multi and Bank Mestika

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

Diversification Opportunities for Bhakti Multi and Bank Mestika

BhaktiBankDiversified AwayBhaktiBankDiversified Away100%
-0.34
  Correlation Coefficient

Very good diversification

The 3 months correlation between Bhakti and Bank is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Bhakti Multi Artha and Bank Mestika Dharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Mestika Dharma and Bhakti Multi 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 Bhakti Multi Artha are associated (or correlated) with Bank Mestika. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Mestika Dharma has no effect on the direction of Bhakti Multi i.e., Bhakti Multi and Bank Mestika go up and down completely randomly.

Pair Corralation between Bhakti Multi and Bank Mestika

Assuming the 90 days trading horizon Bhakti Multi Artha is expected to generate 0.87 times more return on investment than Bank Mestika. However, Bhakti Multi Artha is 1.14 times less risky than Bank Mestika. It trades about 0.29 of its potential returns per unit of risk. Bank Mestika Dharma is currently generating about 0.15 per unit of risk. If you would invest  46,400  in Bhakti Multi Artha on December 6, 2024 and sell it today you would earn a total of  4,100  from holding Bhakti Multi Artha or generate 8.84% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Bhakti Multi Artha  vs.  Bank Mestika Dharma

 Performance 
JavaScript chart by amCharts 3.21.15Dec2025Feb -10-505101520
JavaScript chart by amCharts 3.21.15BHAT BBMD
       Timeline  
Bhakti Multi Artha 

Risk-Adjusted Performance

Good

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Bhakti Multi Artha are ranked lower than 13 (%) of all global equities and portfolios over the last 90 days. Despite quite conflicting forward-looking signals, Bhakti Multi may actually be approaching a critical reversion point that can send shares even higher in April 2025.
JavaScript chart by amCharts 3.21.15JanFebMarFebMar440450460470480490500510520
Bank Mestika Dharma 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days Bank Mestika Dharma 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.
JavaScript chart by amCharts 3.21.15JanFebMarFebMar1,7001,8001,9002,0002,1002,200

Bhakti Multi and Bank Mestika Volatility Contrast

   Predicted Return Density   
JavaScript chart by amCharts 3.21.15-3.56-2.66-1.77-0.880.01490.941.912.873.83 0.050.100.150.200.250.30
JavaScript chart by amCharts 3.21.15BHAT BBMD
       Returns  

Pair Trading with Bhakti Multi and Bank Mestika

The main advantage of trading using opposite Bhakti Multi and Bank Mestika positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bhakti Multi position performs unexpectedly, Bank Mestika 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 Bank Mestika will offset losses from the drop in Bank Mestika's long position.
The idea behind Bhakti Multi Artha and Bank Mestika Dharma 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.

Other Complementary Tools

ETFs
Find actively traded Exchange Traded Funds (ETF) from around the world
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Sync Your Broker
Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors.
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm