Correlation Between BFI Finance and Bank Danamon
Can any of the company-specific risk be diversified away by investing in both BFI Finance and Bank Danamon 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 BFI Finance and Bank Danamon into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BFI Finance Indonesia and Bank Danamon Indonesia, you can compare the effects of market volatilities on BFI Finance and Bank Danamon 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 BFI Finance with a short position of Bank Danamon. Check out your portfolio center. Please also check ongoing floating volatility patterns of BFI Finance and Bank Danamon.
Diversification Opportunities for BFI Finance and Bank Danamon
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BFI and Bank is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding BFI Finance Indonesia and Bank Danamon Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Danamon Indonesia and BFI Finance 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 BFI Finance Indonesia are associated (or correlated) with Bank Danamon. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Danamon Indonesia has no effect on the direction of BFI Finance i.e., BFI Finance and Bank Danamon go up and down completely randomly.
Pair Corralation between BFI Finance and Bank Danamon
Assuming the 90 days trading horizon BFI Finance Indonesia is expected to generate 2.01 times more return on investment than Bank Danamon. However, BFI Finance is 2.01 times more volatile than Bank Danamon Indonesia. It trades about 0.01 of its potential returns per unit of risk. Bank Danamon Indonesia is currently generating about 0.01 per unit of risk. If you would invest 92,178 in BFI Finance Indonesia on September 14, 2024 and sell it today you would lose (678.00) from holding BFI Finance Indonesia or give up 0.74% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.79% |
Values | Daily Returns |
BFI Finance Indonesia vs. Bank Danamon Indonesia
Performance |
Timeline |
BFI Finance Indonesia |
Bank Danamon Indonesia |
BFI Finance and Bank Danamon Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BFI Finance and Bank Danamon
The main advantage of trading using opposite BFI Finance and Bank Danamon positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BFI Finance position performs unexpectedly, Bank Danamon 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 Danamon will offset losses from the drop in Bank Danamon's long position.BFI Finance vs. Paninvest Tbk | BFI Finance vs. Maskapai Reasuransi Indonesia | BFI Finance vs. Panin Sekuritas Tbk | BFI Finance vs. Wahana Ottomitra Multiartha |
Bank Danamon vs. Paninvest Tbk | Bank Danamon vs. Maskapai Reasuransi Indonesia | Bank Danamon vs. Panin Sekuritas Tbk | Bank Danamon vs. Wahana Ottomitra Multiartha |
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.
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