Correlation Between Lionmesh Prima and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Lionmesh Prima 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 Lionmesh Prima and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lionmesh Prima Tbk and Dow Jones Industrial, you can compare the effects of market volatilities on Lionmesh Prima 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 Lionmesh Prima with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lionmesh Prima and Dow Jones.
Diversification Opportunities for Lionmesh Prima and Dow Jones
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Lionmesh and Dow is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Lionmesh Prima Tbk 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 Lionmesh Prima 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 Lionmesh Prima Tbk 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 Lionmesh Prima i.e., Lionmesh Prima and Dow Jones go up and down completely randomly.
Pair Corralation between Lionmesh Prima and Dow Jones
Assuming the 90 days trading horizon Lionmesh Prima Tbk is expected to under-perform the Dow Jones. But the stock apears to be less risky and, when comparing its historical volatility, Lionmesh Prima Tbk is 4.07 times less risky than Dow Jones. The stock trades about -0.37 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 4,238,757 in Dow Jones Industrial on August 27, 2024 and sell it today you would earn a total of 190,894 from holding Dow Jones Industrial or generate 4.5% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Lionmesh Prima Tbk vs. Dow Jones Industrial
Performance |
| Timeline |
Lionmesh Prima and Dow Jones Volatility Contrast
Predicted Return Density |
| Returns |
Lionmesh Prima Tbk
Pair trading matchups for Lionmesh Prima
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Lionmesh Prima and Dow Jones
The main advantage of trading using opposite Lionmesh Prima and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lionmesh Prima 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.| Lionmesh Prima vs. Lion Metal Works | Lionmesh Prima vs. Pelangi Indah Canindo | Lionmesh Prima vs. Indal Aluminium Industry | Lionmesh Prima vs. Tembaga Mulia Semanan |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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