Correlation Between Bank Rakyat and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Bank Rakyat and Dow Jones 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 Rakyat and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Rakyat Indonesia and Dow Jones Industrial, you can compare the effects of market volatilities on Bank Rakyat and Dow Jones 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 Rakyat with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Rakyat and Dow Jones.
Diversification Opportunities for Bank Rakyat and Dow Jones
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bank and Dow is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Bank Rakyat Indonesia and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Bank Rakyat 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 Rakyat Indonesia are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Bank Rakyat i.e., Bank Rakyat and Dow Jones go up and down completely randomly.
Pair Corralation between Bank Rakyat and Dow Jones
Assuming the 90 days trading horizon Bank Rakyat Indonesia is expected to under-perform the Dow Jones. In addition to that, Bank Rakyat is 3.33 times more volatile than Dow Jones Industrial. It trades about -0.05 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.17 per unit of volatility. If you would invest 4,133,505 in Dow Jones Industrial on August 29, 2024 and sell it today you would earn a total of 352,526 from holding Dow Jones Industrial or generate 8.53% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bank Rakyat Indonesia vs. Dow Jones Industrial
Performance |
| Timeline |
Bank Rakyat and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Bank Rakyat Indonesia
Pair trading matchups for Bank Rakyat
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Bank Rakyat and Dow Jones
The main advantage of trading using opposite Bank Rakyat and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Rakyat position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.| Bank Rakyat vs. Bank Bukopin Tbk | Bank Rakyat vs. Bank BRISyariah Tbk | Bank Rakyat vs. Bank Tabungan Negara | Bank Rakyat vs. Bank Artos Indonesia |
| Dow Jones vs. Kaltura | Dow Jones vs. Artisan Partners Asset | Dow Jones vs. US Global Investors | Dow Jones vs. Analog Devices |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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