Correlation Between Bank Central and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Bank Central 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 Central 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 Central Asia and Dow Jones Industrial, you can compare the effects of market volatilities on Bank Central 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 Central with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Central and Dow Jones.
Diversification Opportunities for Bank Central and Dow Jones
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Dow is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Bank Central Asia 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 Central 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 Central Asia 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 Central i.e., Bank Central and Dow Jones go up and down completely randomly.
Pair Corralation between Bank Central and Dow Jones
Assuming the 90 days trading horizon Bank Central is expected to generate 1.04 times less return on investment than Dow Jones. In addition to that, Bank Central is 1.72 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 0.08 per unit of volatility. If you would invest 3,359,792 in Dow Jones Industrial on August 28, 2024 and sell it today you would earn a total of 1,113,865 from holding Dow Jones Industrial or generate 33.15% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.56% |
| Values | Daily Returns |
Bank Central Asia vs. Dow Jones Industrial
Performance |
| Timeline |
Bank Central and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Bank Central Asia
Pair trading matchups for Bank Central
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Bank Central and Dow Jones
The main advantage of trading using opposite Bank Central and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Central 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 Central vs. Bank Rakyat Indonesia | Bank Central vs. Bank Mandiri Persero | Bank Central vs. Bank Negara Indonesia | Bank Central vs. Astra International Tbk |
| Dow Jones vs. Meiwu Technology Co | Dow Jones vs. 17 Education Technology | Dow Jones vs. 51Talk Online Education | Dow Jones vs. Afya |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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