Correlation Between Darfon Electronics and Kung Sing
Can any of the company-specific risk be diversified away by investing in both Darfon Electronics and Kung Sing 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 Darfon Electronics and Kung Sing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Darfon Electronics Corp and Kung Sing Engineering, you can compare the effects of market volatilities on Darfon Electronics and Kung Sing 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 Darfon Electronics with a short position of Kung Sing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Darfon Electronics and Kung Sing.
Diversification Opportunities for Darfon Electronics and Kung Sing
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Darfon and Kung is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Darfon Electronics Corp and Kung Sing Engineering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kung Sing Engineering and Darfon Electronics 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 Darfon Electronics Corp are associated (or correlated) with Kung Sing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kung Sing Engineering has no effect on the direction of Darfon Electronics i.e., Darfon Electronics and Kung Sing go up and down completely randomly.
Pair Corralation between Darfon Electronics and Kung Sing
Assuming the 90 days trading horizon Darfon Electronics is expected to generate 3.0 times less return on investment than Kung Sing. But when comparing it to its historical volatility, Darfon Electronics Corp is 1.26 times less risky than Kung Sing. It trades about 0.02 of its potential returns per unit of risk. Kung Sing Engineering is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 675.00 in Kung Sing Engineering on October 23, 2024 and sell it today you would earn a total of 360.00 from holding Kung Sing Engineering or generate 53.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.8% |
Values | Daily Returns |
Darfon Electronics Corp vs. Kung Sing Engineering
Performance |
Timeline |
Darfon Electronics Corp |
Kung Sing Engineering |
Darfon Electronics and Kung Sing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Darfon Electronics and Kung Sing
The main advantage of trading using opposite Darfon Electronics and Kung Sing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Darfon Electronics position performs unexpectedly, Kung Sing 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 Kung Sing will offset losses from the drop in Kung Sing's long position.Darfon Electronics vs. Cheng Uei Precision | Darfon Electronics vs. Acbel Polytech | Darfon Electronics vs. Inventec Corp | Darfon Electronics vs. Clevo Co |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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