Correlation Between Bank Bukopin and Bank Tabungan
Can any of the company-specific risk be diversified away by investing in both Bank Bukopin and Bank Tabungan 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 Bukopin and Bank Tabungan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Bukopin Tbk and Bank Tabungan Negara, you can compare the effects of market volatilities on Bank Bukopin and Bank Tabungan 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 Bukopin with a short position of Bank Tabungan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Bukopin and Bank Tabungan.
Diversification Opportunities for Bank Bukopin and Bank Tabungan
0.89 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bank and Bank is 0.89. Overlapping area represents the amount of risk that can be diversified away by holding Bank Bukopin Tbk and Bank Tabungan Negara in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Tabungan Negara and Bank Bukopin 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 Bukopin Tbk are associated (or correlated) with Bank Tabungan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Tabungan Negara has no effect on the direction of Bank Bukopin i.e., Bank Bukopin and Bank Tabungan go up and down completely randomly.
Pair Corralation between Bank Bukopin and Bank Tabungan
Assuming the 90 days trading horizon Bank Bukopin Tbk is expected to generate 1.26 times more return on investment than Bank Tabungan. However, Bank Bukopin is 1.26 times more volatile than Bank Tabungan Negara. It trades about -0.08 of its potential returns per unit of risk. Bank Tabungan Negara is currently generating about -0.11 per unit of risk. If you would invest 6,400 in Bank Bukopin Tbk on September 13, 2024 and sell it today you would lose (800.00) from holding Bank Bukopin Tbk or give up 12.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 98.41% |
Values | Daily Returns |
Bank Bukopin Tbk vs. Bank Tabungan Negara
Performance |
Timeline |
Bank Bukopin Tbk |
Bank Tabungan Negara |
Bank Bukopin and Bank Tabungan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Bukopin and Bank Tabungan
The main advantage of trading using opposite Bank Bukopin and Bank Tabungan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Bukopin position performs unexpectedly, Bank Tabungan 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 Tabungan will offset losses from the drop in Bank Tabungan's long position.Bank Bukopin vs. Paninvest Tbk | Bank Bukopin vs. Maskapai Reasuransi Indonesia | Bank Bukopin vs. Panin Sekuritas Tbk | Bank Bukopin vs. Wahana Ottomitra Multiartha |
Bank Tabungan vs. Paninvest Tbk | Bank Tabungan vs. Maskapai Reasuransi Indonesia | Bank Tabungan vs. Panin Sekuritas Tbk | Bank Tabungan 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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