Correlation Between Dow Jones and Da Li
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Da Li 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 Da Li 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 Da Li Development Co, you can compare the effects of market volatilities on Dow Jones and Da Li 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 Da Li. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Da Li.
Diversification Opportunities for Dow Jones and Da Li
Very good diversification
The 3 months correlation between Dow and 6177 is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Da Li Development Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Da Li Development 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 Da Li. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Da Li Development has no effect on the direction of Dow Jones i.e., Dow Jones and Da Li go up and down completely randomly.
Pair Corralation between Dow Jones and Da Li
Assuming the 90 days trading horizon Dow Jones Industrial is expected to under-perform the Da Li. But the index apears to be less risky and, when comparing its historical volatility, Dow Jones Industrial is 2.52 times less risky than Da Li. The index trades about -0.28 of its potential returns per unit of risk. The Da Li Development Co is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 4,400 in Da Li Development Co on September 29, 2024 and sell it today you would earn a total of 25.00 from holding Da Li Development Co or generate 0.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 91.3% |
Values | Daily Returns |
Dow Jones Industrial vs. Da Li Development Co
Performance |
Timeline |
Dow Jones and Da Li Volatility Contrast
Predicted Return Density |
Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Da Li Development Co
Pair trading matchups for Da Li
Pair Trading with Dow Jones and Da Li
The main advantage of trading using opposite Dow Jones and Da Li positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Da Li 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 Da Li will offset losses from the drop in Da Li'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 |
Da Li vs. Hung Sheng Construction | Da Li vs. Chainqui Construction Development | Da Li vs. BES Engineering Co | Da Li vs. Long Bon International |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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