Correlation Between Bank Pan and Bank Cimb
Can any of the company-specific risk be diversified away by investing in both Bank Pan and Bank Cimb 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 Pan and Bank Cimb into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Pan Indonesia and Bank Cimb Niaga, you can compare the effects of market volatilities on Bank Pan and Bank Cimb 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 Pan with a short position of Bank Cimb. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Pan and Bank Cimb.
Diversification Opportunities for Bank Pan and Bank Cimb
Very poor diversification
The 3 months correlation between Bank and Bank is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Bank Pan Indonesia and Bank Cimb Niaga in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Cimb Niaga and Bank Pan 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 Pan Indonesia are associated (or correlated) with Bank Cimb. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Cimb Niaga has no effect on the direction of Bank Pan i.e., Bank Pan and Bank Cimb go up and down completely randomly.
Pair Corralation between Bank Pan and Bank Cimb
Assuming the 90 days trading horizon Bank Pan Indonesia is expected to under-perform the Bank Cimb. In addition to that, Bank Pan is 2.7 times more volatile than Bank Cimb Niaga. It trades about -0.04 of its total potential returns per unit of risk. Bank Cimb Niaga is currently generating about -0.02 per unit of volatility. If you would invest 173,000 in Bank Cimb Niaga on December 29, 2024 and sell it today you would lose (3,500) from holding Bank Cimb Niaga or give up 2.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Pan Indonesia vs. Bank Cimb Niaga
Performance |
Timeline |
Bank Pan Indonesia |
Bank Cimb Niaga |
Bank Pan and Bank Cimb Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Pan and Bank Cimb
The main advantage of trading using opposite Bank Pan and Bank Cimb positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Pan position performs unexpectedly, Bank Cimb 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 Cimb will offset losses from the drop in Bank Cimb's long position.Bank Pan vs. Bank Danamon Indonesia | Bank Pan vs. Bank Cimb Niaga | Bank Pan vs. Panin Financial Tbk | Bank Pan vs. Bank Maybank Indonesia |
Bank Cimb vs. Bank Danamon Indonesia | Bank Cimb vs. Bank Maybank Indonesia | Bank Cimb vs. Bank Pan Indonesia | Bank Cimb vs. Indosat Tbk |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
Other Complementary Tools
ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |