Correlation Between King Yuan and Dow Jones
Can any of the company-specific risk be diversified away by investing in both King Yuan 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 King Yuan and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between King Yuan Electronics and Dow Jones Industrial, you can compare the effects of market volatilities on King Yuan 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 King Yuan with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of King Yuan and Dow Jones.
Diversification Opportunities for King Yuan and Dow Jones
Poor diversification
The 3 months correlation between King and Dow is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding King Yuan 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 King Yuan 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 King Yuan 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 King Yuan i.e., King Yuan and Dow Jones go up and down completely randomly.
Pair Corralation between King Yuan and Dow Jones
Assuming the 90 days trading horizon King Yuan Electronics is expected to generate 4.26 times more return on investment than Dow Jones. However, King Yuan is 4.26 times more volatile than Dow Jones Industrial. It trades about 0.08 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.16 per unit of risk. If you would invest 7,630 in King Yuan Electronics on August 26, 2024 and sell it today you would earn a total of 5,370 from holding King Yuan Electronics or generate 70.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.15% |
Values | Daily Returns |
King Yuan Electronics vs. Dow Jones Industrial
Performance |
Timeline |
King Yuan and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
King Yuan Electronics
Pair trading matchups for King Yuan
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with King Yuan and Dow Jones
The main advantage of trading using opposite King Yuan and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if King Yuan 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.King Yuan vs. Powertech Technology | King Yuan vs. Novatek Microelectronics Corp | King Yuan vs. Greatek Electronics | King Yuan vs. Nanya Technology Corp |
Dow Jones vs. Vistra Energy Corp | Dow Jones vs. Fluence Energy | Dow Jones vs. Old Republic International | Dow Jones vs. Empresa Distribuidora y |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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