Correlation Between Dow Jones and Bank Mestika
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Bank Mestika 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 Dow Jones and Bank Mestika into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Bank Mestika Dharma, you can compare the effects of market volatilities on Dow Jones and Bank Mestika 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 Dow Jones with a short position of Bank Mestika. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Bank Mestika.
Diversification Opportunities for Dow Jones and Bank Mestika
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dow and Bank is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Bank Mestika Dharma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Mestika Dharma and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Bank Mestika. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Mestika Dharma has no effect on the direction of Dow Jones i.e., Dow Jones and Bank Mestika go up and down completely randomly.
Pair Corralation between Dow Jones and Bank Mestika
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.52 times more return on investment than Bank Mestika. However, Dow Jones Industrial is 1.94 times less risky than Bank Mestika. It trades about 0.2 of its potential returns per unit of risk. Bank Mestika Dharma is currently generating about 0.02 per unit of risk. If you would invest 4,201,159 in Dow Jones Industrial on September 3, 2024 and sell it today you would earn a total of 289,906 from holding Dow Jones Industrial or generate 6.9% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Dow Jones Industrial vs. Bank Mestika Dharma
Performance |
| Timeline |
Dow Jones and Bank Mestika Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Bank Mestika Dharma
Pair trading matchups for Bank Mestika
Pair Trading with Dow Jones and Bank Mestika
The main advantage of trading using opposite Dow Jones and Bank Mestika positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Bank Mestika 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 Mestika will offset losses from the drop in Bank Mestika's long position.| Dow Jones vs. Eastern Co | Dow Jones vs. Uber Technologies | Dow Jones vs. AKITA Drilling | Dow Jones vs. Chemours Co |
| Bank Mestika vs. Bank Maspion Indonesia | Bank Mestika vs. Bank Sinarmas Tbk | Bank Mestika vs. Bank Ina Perdana | Bank Mestika vs. Bank Bumi Arta |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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