Correlation Between Dow Jones and Asuransi Kresna
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Asuransi Kresna 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 Asuransi Kresna 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 Asuransi Kresna Mitra, you can compare the effects of market volatilities on Dow Jones and Asuransi Kresna 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 Asuransi Kresna. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Asuransi Kresna.
Diversification Opportunities for Dow Jones and Asuransi Kresna
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Dow and Asuransi is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Asuransi Kresna Mitra in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asuransi Kresna Mitra 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 Asuransi Kresna. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asuransi Kresna Mitra has no effect on the direction of Dow Jones i.e., Dow Jones and Asuransi Kresna go up and down completely randomly.
Pair Corralation between Dow Jones and Asuransi Kresna
Assuming the 90 days trading horizon Dow Jones is expected to generate 7.97 times less return on investment than Asuransi Kresna. But when comparing it to its historical volatility, Dow Jones Industrial is 8.78 times less risky than Asuransi Kresna. It trades about 0.09 of its potential returns per unit of risk. Asuransi Kresna Mitra is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 700.00 in Asuransi Kresna Mitra on September 29, 2024 and sell it today you would earn a total of 400.00 from holding Asuransi Kresna Mitra or generate 57.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 99.21% |
Values | Daily Returns |
Dow Jones Industrial vs. Asuransi Kresna Mitra
Performance |
Timeline |
Dow Jones and Asuransi Kresna Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Asuransi Kresna Mitra
Pair trading matchups for Asuransi Kresna
Pair Trading with Dow Jones and Asuransi Kresna
The main advantage of trading using opposite Dow Jones and Asuransi Kresna positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Asuransi Kresna 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 Asuransi Kresna will offset losses from the drop in Asuransi Kresna's long position.Dow Jones vs. Eldorado Gold Corp | Dow Jones vs. Flexible Solutions International | Dow Jones vs. Olympic Steel | Dow Jones vs. Valhi Inc |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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