Correlation Between Dow Jones and Bank Mega

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

Diversification Opportunities for Dow Jones and Bank Mega

0.03
  Correlation Coefficient

Significant diversification

The 3 months correlation between Dow and Bank is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Bank Mega Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Mega Tbk and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Bank Mega. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Mega Tbk has no effect on the direction of Dow Jones i.e., Dow Jones and Bank Mega go up and down completely randomly.
    Optimize

Pair Corralation between Dow Jones and Bank Mega

Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.38 times more return on investment than Bank Mega. However, Dow Jones Industrial is 2.6 times less risky than Bank Mega. It trades about -0.04 of its potential returns per unit of risk. Bank Mega Tbk is currently generating about -0.25 per unit of risk. If you would invest  4,478,200  in Dow Jones Industrial on December 1, 2024 and sell it today you would lose (94,109) from holding Dow Jones Industrial or give up 2.1% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy95.08%
ValuesDaily Returns

Dow Jones Industrial  vs.  Bank Mega Tbk

 Performance 
       Timeline  

Dow Jones and Bank Mega Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Dow Jones and Bank Mega

The main advantage of trading using opposite Dow Jones and Bank Mega positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Bank Mega 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 Mega will offset losses from the drop in Bank Mega's long position.
The idea behind Dow Jones Industrial and Bank Mega Tbk 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.

Other Complementary Tools

Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
Equity Search
Search for actively traded equities including funds and ETFs from over 30 global markets
Fundamental Analysis
View fundamental data based on most recent published financial statements
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets