Correlation Between Standard Bank and Bank Negara
Can any of the company-specific risk be diversified away by investing in both Standard Bank and Bank Negara 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 Standard Bank and Bank Negara into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Standard Bank Group and Bank Negara Indonesia, you can compare the effects of market volatilities on Standard Bank and Bank Negara 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 Standard Bank with a short position of Bank Negara. Check out your portfolio center. Please also check ongoing floating volatility patterns of Standard Bank and Bank Negara.
Diversification Opportunities for Standard Bank and Bank Negara
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Standard and Bank is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Standard Bank Group and Bank Negara Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Negara Indonesia and Standard Bank 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 Standard Bank Group are associated (or correlated) with Bank Negara. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Negara Indonesia has no effect on the direction of Standard Bank i.e., Standard Bank and Bank Negara go up and down completely randomly.
Pair Corralation between Standard Bank and Bank Negara
Assuming the 90 days horizon Standard Bank Group is expected to under-perform the Bank Negara. But the pink sheet apears to be less risky and, when comparing its historical volatility, Standard Bank Group is 3.67 times less risky than Bank Negara. The pink sheet trades about -0.43 of its potential returns per unit of risk. The Bank Negara Indonesia is currently generating about -0.12 of returns per unit of risk over similar time horizon. If you would invest 1,538 in Bank Negara Indonesia on October 9, 2024 and sell it today you would lose (158.00) from holding Bank Negara Indonesia or give up 10.27% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Standard Bank Group vs. Bank Negara Indonesia
Performance |
Timeline |
Standard Bank Group |
Bank Negara Indonesia |
Standard Bank and Bank Negara Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Standard Bank and Bank Negara
The main advantage of trading using opposite Standard Bank and Bank Negara positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Standard Bank position performs unexpectedly, Bank Negara 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 Negara will offset losses from the drop in Bank Negara's long position.Standard Bank vs. Bank Central Asia | Standard Bank vs. Nedbank Group | Standard Bank vs. Kasikornbank Public Co | Standard Bank vs. KBC Groep NV |
Bank Negara vs. Banco Bradesco SA | Bank Negara vs. Itau Unibanco Banco | Bank Negara vs. Lloyds Banking Group | Bank Negara vs. Deutsche Bank AG |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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