Correlation Between BNP Paribas and Bank Negara
Can any of the company-specific risk be diversified away by investing in both BNP Paribas 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 BNP Paribas and Bank Negara into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BNP Paribas SA and Bank Negara Indonesia, you can compare the effects of market volatilities on BNP Paribas 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 BNP Paribas with a short position of Bank Negara. Check out your portfolio center. Please also check ongoing floating volatility patterns of BNP Paribas and Bank Negara.
Diversification Opportunities for BNP Paribas and Bank Negara
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between BNP and Bank is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding BNP Paribas SA 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 BNP Paribas 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 BNP Paribas SA 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 BNP Paribas i.e., BNP Paribas and Bank Negara go up and down completely randomly.
Pair Corralation between BNP Paribas and Bank Negara
Assuming the 90 days horizon BNP Paribas SA is expected to under-perform the Bank Negara. But the otc stock apears to be less risky and, when comparing its historical volatility, BNP Paribas SA is 3.12 times less risky than Bank Negara. The otc stock trades about -0.13 of its potential returns per unit of risk. The Bank Negara Indonesia is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 1,730 in Bank Negara Indonesia on September 16, 2024 and sell it today you would lose (267.00) from holding Bank Negara Indonesia or give up 15.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
BNP Paribas SA vs. Bank Negara Indonesia
Performance |
Timeline |
BNP Paribas SA |
Bank Negara Indonesia |
BNP Paribas and Bank Negara Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BNP Paribas and Bank Negara
The main advantage of trading using opposite BNP Paribas and Bank Negara positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BNP Paribas 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.BNP Paribas vs. Societe Generale ADR | BNP Paribas vs. Intesa Sanpaolo SpA | BNP Paribas vs. Commerzbank AG PK | BNP Paribas vs. Swedbank AB |
Bank Negara vs. Morningstar Unconstrained Allocation | Bank Negara vs. Bondbloxx ETF Trust | Bank Negara vs. Spring Valley Acquisition | Bank Negara vs. Bondbloxx ETF Trust |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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