Correlation Between Lung Hwa and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Lung Hwa 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 Lung Hwa and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lung Hwa Electronics and Dow Jones Industrial, you can compare the effects of market volatilities on Lung Hwa 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 Lung Hwa with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lung Hwa and Dow Jones.
Diversification Opportunities for Lung Hwa and Dow Jones
Weak diversification
The 3 months correlation between Lung and Dow is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding Lung Hwa Electronics 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 Lung Hwa 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 Lung Hwa Electronics 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 Lung Hwa i.e., Lung Hwa and Dow Jones go up and down completely randomly.
Pair Corralation between Lung Hwa and Dow Jones
Assuming the 90 days trading horizon Lung Hwa Electronics is expected to generate 4.78 times more return on investment than Dow Jones. However, Lung Hwa is 4.78 times more volatile than Dow Jones Industrial. It trades about 0.05 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.11 per unit of risk. If you would invest 6,060 in Lung Hwa Electronics on September 15, 2024 and sell it today you would earn a total of 440.00 from holding Lung Hwa Electronics or generate 7.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Lung Hwa Electronics vs. Dow Jones Industrial
Performance |
Timeline |
Lung Hwa and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Lung Hwa Electronics
Pair trading matchups for Lung Hwa
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Lung Hwa and Dow Jones
The main advantage of trading using opposite Lung Hwa and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lung Hwa 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.Lung Hwa vs. Feng Tay Enterprises | Lung Hwa vs. Ruentex Development Co | Lung Hwa vs. WiseChip Semiconductor | Lung Hwa vs. Novatek Microelectronics Corp |
Dow Jones vs. Wallbox NV | Dow Jones vs. LithiumBank Resources Corp | Dow Jones vs. Marine Products | Dow Jones vs. Arrow Financial |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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