Correlation Between Bank Pan and Bank Windu
Can any of the company-specific risk be diversified away by investing in both Bank Pan and Bank Windu 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 Windu 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 Windu Kentjana, you can compare the effects of market volatilities on Bank Pan and Bank Windu 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 Windu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Pan and Bank Windu.
Diversification Opportunities for Bank Pan and Bank Windu
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bank and Bank is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Bank Pan Indonesia and Bank Windu Kentjana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Windu Kentjana 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 Windu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Windu Kentjana has no effect on the direction of Bank Pan i.e., Bank Pan and Bank Windu go up and down completely randomly.
Pair Corralation between Bank Pan and Bank Windu
Assuming the 90 days trading horizon Bank Pan Indonesia is expected to under-perform the Bank Windu. But the stock apears to be less risky and, when comparing its historical volatility, Bank Pan Indonesia is 1.29 times less risky than Bank Windu. The stock trades about -0.16 of its potential returns per unit of risk. The Bank Windu Kentjana is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 8,000 in Bank Windu Kentjana on August 28, 2024 and sell it today you would lose (100.00) from holding Bank Windu Kentjana or give up 1.25% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank Pan Indonesia vs. Bank Windu Kentjana
Performance |
| Timeline |
| Bank Pan Indonesia |
| Bank Windu Kentjana |
Bank Pan and Bank Windu Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bank Pan and Bank Windu
The main advantage of trading using opposite Bank Pan and Bank Windu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Pan position performs unexpectedly, Bank Windu 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 Windu will offset losses from the drop in Bank Windu'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 Windu vs. Bank Mayapada Internasional | Bank Windu vs. Bank Artha Graha | Bank Windu vs. Bank Pembangunan Daerah | Bank Windu vs. Bank Mega 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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